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background-image: -webkit-linear-gradient(top, rgba(0,0,0,0.57), rgba(0,0,0,0.57)), url(''); background-image: -ms-linear-gradient(top, rgba(0,0,0,0.57), rgba(0,0,0,0.57)), url(''); background-image: linear-gradient(top, rgba(0,0,0,0.57), rgba(0,0,0,0.57)), url('');"> <div class="custom-banner-content"> <h1><img class="analyst-header-photo" src="https://jefforr.isg-research.net/hubfs/_images/_team/profile_vr_jeff_orr_circle_292x292.png" style="padding: 10px; "><br>Market Perspectives</h1> </div> </div> --> <div class="row-fluid"> <div class="blog-header__inner dnd-row"> <div class="blog--post__image dnd-section"> <!-- <img class="analyst-header-photo" src="https://www.isg-research.net/hubfs/_images/_team/profile_vr_quincy_valenica_circle_443x443.png" style="padding: 10px; "> <br>--> <h1 class="analyst-header-title">Market Perspectives</h1> <!-- <h1><span id="hs_cos_wrapper_name" class="hs_cos_wrapper hs_cos_wrapper_meta_field hs_cos_wrapper_type_text" style="" data-hs-cos-general-type="meta_field" data-hs-cos-type="text" >Market Perspectives listing page</span>123tests</h1>--> </div> </div> </div> </div> <div class="content-wrapper-listing blog-single"> <div class="blog-content-wrapper"> <div> <!-- class="blog-index" --> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/ayara-earns-office-of-revenue-digital-innovation-award-for-2024">Ayara Earns Office of Revenue Digital Innovation Award for 2024</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">31 October 2024 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png?width=200&name=Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png?width=100&name=Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png 100w, https://research.isg-one.com/hs-fs/hubfs/Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png?width=200&name=Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png 200w, https://research.isg-one.com/hs-fs/hubfs/Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png?width=300&name=Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png 300w, https://research.isg-one.com/hs-fs/hubfs/Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png?width=400&name=Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png 400w, https://research.isg-one.com/hs-fs/hubfs/Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png?width=500&name=Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png 500w, https://research.isg-one.com/hs-fs/hubfs/Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png?width=600&name=Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p>The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an enterprise. Our goal is to recognize technology and providers that have introduced noteworthy digital innovations to advance business and IT.</p> </div> <a href="https://research.isg-one.com/market-perspectives/ayara-earns-office-of-revenue-digital-innovation-award-for-2024"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/office-of-revenue">Office of Revenue</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/skidmore-college-earns-data-digital-leadership-award-with-snaplogic">Skidmore College Earns Data Digital Leadership Award with SnapLogic</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">01 February 2024 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png?width=200&name=MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png?width=100&name=MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png?width=200&name=MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png?width=300&name=MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png?width=400&name=MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png?width=500&name=MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png?width=600&name=MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">The 16th Annual Ventana Research Digital Leadership Awards recognize enterprises and individuals that utilize technology to advance business and IT. The Digital Leadership Awards showcase the professional leadership and their use of business applications or technology that contribute significantly to improved efficiency, productivity and the performance of their enterprise. This prestigious award recognizes leaders and pioneers who have contributed to their enterprise’s success and championed...</span></p> </div> <a href="https://research.isg-one.com/market-perspectives/skidmore-college-earns-data-digital-leadership-award-with-snaplogic"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/digital-technology">Digital Technology</a>, <a href="https://research.isg-one.com/market-perspectives/tag/digital-business">Digital Business</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/precisely-is-vendor-of-merit-in-data-observability-buyers-guide">Precisely is Vendor of Merit in Data Observability Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">30 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png?width=200&name=MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png?width=100&name=MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png?width=200&name=MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png?width=300&name=MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png?width=400&name=MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png?width=500&name=MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png?width=600&name=MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights about </span><a href="https://www.precisely.com/"><span data-contrast="none">Precisely</span></a><span data-contrast="auto">drawn from our latest market research, Ventana Research Buyers Guide: Data Observability, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/precisely-is-vendor-of-merit-in-data-observability-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/collibra-is-exemplary-in-data-observability-buyers-guide">Collibra is Exemplary in Data Observability Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">29 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=200&name=MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=100&name=MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=200&name=MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=300&name=MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=400&name=MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=500&name=MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=600&name=MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights about </span><a href="https://www.collibra.com/us/en"><span data-contrast="none">Collibra</span></a><span data-contrast="auto">drawn from our latest market research, Ventana Research Buyers Guide: Data Observability, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/collibra-is-exemplary-in-data-observability-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/acceldata-is-innovative-in-data-observability-buyers-guide">Acceldata is Innovative in Data Observability Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">28 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png?width=200&name=MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png?width=100&name=MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png?width=200&name=MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png?width=300&name=MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png?width=400&name=MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png?width=500&name=MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png?width=600&name=MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights about </span><a href="https://www.acceldata.io/platform"><span data-contrast="none">Acceldata</span></a><span data-contrast="auto">drawn from our latest market research, Ventana Research Buyers Guide: Data Observability, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/acceldata-is-innovative-in-data-observability-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/monte-carlo-is-exemplary-in-data-observability-buyers-guide">Monte Carlo is Exemplary in Data Observability Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">27 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=200&name=MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=100&name=MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=200&name=MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=300&name=MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=400&name=MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=500&name=MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png?width=600&name=MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights about </span><a href="https://www.montecarlodata.com/"><span data-contrast="none">Monte Carlo</span></a><span data-contrast="auto">drawn from our latest market research, Ventana Research Buyers Guide: Data Observability, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/monte-carlo-is-exemplary-in-data-observability-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/rivery-is-vendor-of-merit-in-dataops-buyers-guide">Rivery is Vendor of Merit in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">22 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=100&name=MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=300&name=MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=400&name=MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=500&name=MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=600&name=MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://rivery.io/"><span data-contrast="none">Rivery</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/rivery-is-vendor-of-merit-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/stonebranch-is-vendor-of-merit-in-dataops-buyers-guide">Stonebranch is Vendor of Merit in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">21 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=100&name=MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=300&name=MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=400&name=MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=500&name=MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=600&name=MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.stonebranch.com/stonebranch-platform/universal-automation-center"><span>Stonebranch</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/stonebranch-is-vendor-of-merit-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/prefect-is-vendor-of-merit-in-dataops-buyers-guide">Prefect is Vendor of Merit in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">20 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=100&name=MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=300&name=MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=400&name=MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=500&name=MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=600&name=MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.prefect.io/cloud#build-resilient-pipelines"><span data-contrast="none">Prefect</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/prefect-is-vendor-of-merit-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/sigma-computing-is-vendor-of-merit-in-analytics-and-data-buyers-guide">Sigma Computing is Vendor of Merit in Analytics and Data Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">17 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png?width=200&name=MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png?width=100&name=MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png?width=200&name=MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png?width=300&name=MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png?width=400&name=MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png?width=500&name=MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png?width=600&name=MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.sigmacomputing.com/product"><span data-contrast="none">Sigma Computing</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">Analytics and Data, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/sigma-computing-is-vendor-of-merit-in-analytics-and-data-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/embedded-analytics">embedded analytics</a>, <a href="https://research.isg-one.com/market-perspectives/tag/analytics">Analytics</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/digital-technology">Digital Technology</a>, <a href="https://research.isg-one.com/market-perspectives/tag/analytics-data">Analytics & Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/analytic-data-platforms">analytic data platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/augmented-analytics">Augmented Analytics</a>, <a href="https://research.isg-one.com/market-perspectives/tag/collaborative-analytics">Collaborative Analytics</a>, <a href="https://research.isg-one.com/market-perspectives/tag/mobile-analytics">Mobile Analytics</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/infoworks.io-is-vendor-of-merit-in-dataops-buyers-guide">Infoworks.io is Vendor of Merit in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">17 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=100&name=MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=300&name=MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=400&name=MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=500&name=MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=600&name=MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.infoworks.io/products/platform/"><span>Infoworks.io</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/infoworks.io-is-vendor-of-merit-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/y42-is-vendor-of-merit-in-dataops-buyers-guide">Y42 is Vendor of Merit in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">16 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=100&name=MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=300&name=MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=400&name=MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=500&name=MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=600&name=MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.y42.com/"><span>Y42</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/y42-is-vendor-of-merit-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/hitachi-vantara-is-vendor-of-merit-in-dataops-buyers-guide">Hitachi Vantara is Vendor of Merit in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">15 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=100&name=MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=300&name=MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=400&name=MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=500&name=MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=600&name=MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.hitachivantara.com/en-us/products/pentaho-platform/data-integration-analytics.html"><span>Hitachi Vantara</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/hitachi-vantara-is-vendor-of-merit-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/astronomer-is-vendor-of-merit-in-dataops-buyers-guide">Astronomer is Vendor of Merit in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">14 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=100&name=MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=200&name=MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=300&name=MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=400&name=MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=500&name=MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png?width=600&name=MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.astronomer.io/"><span>Astronomer</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/astronomer-is-vendor-of-merit-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/matillion-is-vendor-of-assurance-in-dataops-buyers-guide">Matillion is Vendor of Assurance in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">13 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png?width=200&name=MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png?width=100&name=MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png?width=200&name=MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png?width=300&name=MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png?width=400&name=MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png?width=500&name=MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png?width=600&name=MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.matillion.com/data-productivity-cloud"><span data-contrast="none">Matillion</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/matillion-is-vendor-of-assurance-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/streamsets-is-vendor-of-merit-in-dataops-buyers-guide">StreamSets is Vendor of Merit in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">09 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png?width=200&name=MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png?width=100&name=MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png?width=200&name=MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png?width=300&name=MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png?width=400&name=MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png?width=500&name=MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png?width=600&name=MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://streamsets.com/products/"><span data-contrast="none">StreamSets</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/streamsets-is-vendor-of-merit-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/aws-is-exemplary-in-dataops-buyers-guide">AWS is Exemplary in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">08 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png?width=200&name=MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png?width=100&name=MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png?width=200&name=MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png?width=300&name=MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png?width=400&name=MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png?width=500&name=MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png?width=600&name=MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://aws.amazon.com/managed-workflows-for-apache-airflow/"><span data-contrast="none">AWS</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/aws-is-exemplary-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipeline">Data Pipeline</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/sap-is-exemplary-in-dataops-buyers-guide">SAP is Exemplary in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">07 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png?width=200&name=MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png?width=100&name=MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png?width=200&name=MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png?width=300&name=MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png?width=400&name=MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png?width=500&name=MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png?width=600&name=MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.sap.com/products/technology-platform/data-intelligence.html"><span>SAP</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/sap-is-exemplary-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/bmc-is-exemplary-in-dataops-buyers-guide">BMC is Exemplary in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">06 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png?width=200&name=MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png?width=100&name=MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png?width=200&name=MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png?width=300&name=MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png?width=400&name=MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png?width=500&name=MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png?width=600&name=MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://www.bmc.com/it-solutions/control-m.html"><span>BMC</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/bmc-is-exemplary-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-pipelines">Data Pipelines</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <div class="blog-index__post-content" style="margin-bottom: 80px"> <div class="post-meta"> <h2 style="font-size: 1.875rem;"><a href="https://research.isg-one.com/market-perspectives/google-is-exemplary-in-dataops-buyers-guide">Google is Exemplary in DataOps Buyers Guide</a></h2> <div class="author-meta"> Posted by <a href="https://research.isg-one.com/market-perspectives/author/isg-software-research"> ISG Software Research </a> on <span class="post-date">03 November 2023 </span> </div> <hr> <!--<hr>--> </div> <div class="list-card-p"><div class="wrapingimage"> <img src="https://research.isg-one.com/hs-fs/hubfs/MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png?width=200&name=MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png" width="200" !important: srcset="https://research.isg-one.com/hs-fs/hubfs/MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png?width=100&name=MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png 100w, https://research.isg-one.com/hs-fs/hubfs/MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png?width=200&name=MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png 200w, https://research.isg-one.com/hs-fs/hubfs/MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png?width=300&name=MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png 300w, https://research.isg-one.com/hs-fs/hubfs/MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png?width=400&name=MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png 400w, https://research.isg-one.com/hs-fs/hubfs/MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png?width=500&name=MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png 500w, https://research.isg-one.com/hs-fs/hubfs/MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png?width=600&name=MP_Google_is_Exemplary_in_DataOps_Buyers_Guide.png 600w" sizes="(max-width: 200px) 100vw, 200px"> </div> <p><span data-contrast="auto">We are happy to share some insights </span><span data-contrast="none">about </span><a href="https://cloud.google.com/composer?hl=en"><span>Google</span></a><span data-contrast="none">drawn </span><span data-contrast="auto">from our latest market research, Ventana Research Buyers Guide: </span><span data-contrast="none">DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. </span></p> </div> <a href="https://research.isg-one.com/market-perspectives/google-is-exemplary-in-dataops-buyers-guide"><span class="readmore"> Read More </span></a><br><br> Topics: <a href="https://research.isg-one.com/market-perspectives/tag/data">Data</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-operations">data operations</a>, <a href="https://research.isg-one.com/market-perspectives/tag/operational-data-platforms">Operational Data Platforms</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-orchestration">Data Orchestration</a>, <a href="https://research.isg-one.com/market-perspectives/tag/data-observability">Data Observability</a> <hr> </div> <script> // Check active classes var checkClass = function() { if ( $('.fil_item').hasClass('hide') ) { $('.fil_item').removeClass('hide'); } }; // Category 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"mainEntityOfPage": "https://research.isg-one.com/market-perspectives/ayara-earns-office-of-revenue-digital-innovation-award-for-2024", "datePublished": "31/10/2024", "dateModified": "31/10/2024", "articleBody": "The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an enterprise. Our goal is to recognize technology and providers that have introduced noteworthy digital innovations to advance business and IT. Ventana Research has awarded Ayara its prestigious 2024 Office of Revenue Digital Innovation Award. This award is given to the provider that best exemplifies innovation in the application or technologies that support the Office of Revenue. All finalists in Office of Revenue were considered for this award. The continuous pressure to generate revenue and outperform cannot be addressed successfully without strategic investments into the people and processes that drive sales forward. What’s required are effective methods to manage revenue performance ranging from coaching and compensation management to the optimization of quotas and pipelines in every channel of revenue. In today’s competitive environment, attempting to utilize sales force automation using spreadsheets and email rather than dedicated, purpose-built applications is ineffective. The path to maximization of your enterprise’s revenue potential starts with a close evaluation of dedicated applications that help with continuous improvement, and alignment in revenue operations and performance in areas like digital commerce, partner management, revenue performance management, sales engagement and subscription management. Ventana Research selected Ayara for the 17th Annual Office of Revenue Digital Innovation Award for its innovative use of data to aid in deal validation by introducing guardrails closer to the point of sale. Ayara recognizes the need for revenue teams to process deals quickly and efficiently while ensuring compliance with corporate guardrails to reduce manual review of deals while ensuring quality and compliance. By integrating revenue recognition, margin considerations and rules for discounting in the approval process, Ayara allows overworked deal desks to focus on true exceptions while advancing compliant deals as quickly as possible. No longer satisfied with growth at all costs, all sizes of enterprises are focusing on the quality of deals, and this is especially so where the offered products and services include subscription, usage and other ways of pricing. If you have not examined how Ayara can help your enterprise, it is well worth your time. Congratulations, Ayara, for your continued innovation.", "image": { "@type": "ImageObject", "url": "https://www.isg-research.net/hubfs/Ayara_Earns_Office_of_Revenue_Digital_Innovation_Award_for_2024.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Skidmore College Earns Data Digital Leadership Award with SnapLogic", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/skidmore-college-earns-data-digital-leadership-award-with-snaplogic", "datePublished": "01/02/2024", "dateModified": "01/02/2024", "articleBody": "The 16th Annual Ventana Research Digital Leadership Awards recognize enterprises and individuals that utilize technology to advance business and IT. The Digital Leadership Awards showcase the professional leadership and their use of business applications or technology that contribute significantly to improved efficiency, productivity and the performance of their enterprise. This prestigious award recognizes leaders and pioneers who have contributed to their enterprise’s success and championed improvements across their people, processes, information and technology. Ventana Research has awarded Skidmore College using SnapLogic its prestigious 2023 Data Digital Leadership Award. This award recognizes the individual, enterprise and technology that best exemplify leadership in data and related applications supporting data and information management needs. All award finalists in the Data category were considered for this award. Enterprises of all sizes and industries are deluged by an unceasing torrent of data coming from a multitude of sources in many formats and stored in disparate systems. This presents a challenge to capture increasingly detailed data, keep more history than ever and store mounting volumes of information. Applying data science and using machine learning and predictive analytics helps enterprises derive value, but these techniques generate even more data. Ventana Research selected Skidmore College for the 16th Annual Data Digital Leadership Award for its efforts to simplify the migration and integration of cloud-based applications and systems. Its need to support transition from legacy systems to Oracle Cloud and use of identity management with Okta required the ability to ensure the secured integration of data across applications. The adoption and use of SnapLogic helped facilitate a streamlined migration that accurately transitioned Skidmore College’s student-focused systems from admissions, enrollment and payments into a seamless experience. Data is an area for an enterprise to go beyond transformation and work towards modernization and innovation. SnapLogic addresses the challenges of integration of applications and data together in real time to meet the current needs of digital modernization and transformation. Enterprises that need to integrate and migrate their systems will appreciate the features SnapLogic provides in their platform, from the tools designed for configuration by analytics to customization with developers. Enterprises looking to maximize the value of business and technology investments across people and processes should consider how data can optimize digital potential. If you have not examined how SnapLogic can help your enterprise, it is well worth your time. Congratulations, Paul Coleman and Skidmore College, for your leadership. Ventana Research, now part of ISG, offers expertise and research-based guidance on big data and information management to help you expand competencies that will enhance the value of data. Our insights on smarter storage, integration, virtualization, governance and preparation will enable you to embrace new methods for using information effectively. Change is required to enable business resilience and data readiness to maintain competitiveness and achieve the outcomes your enterprise deserves.", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Skidmore_College_Earns_Data_Digital_Leadership_Award_with_SnapLogic.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Precisely is Vendor of Merit in Data Observability Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/precisely-is-vendor-of-merit-in-data-observability-buyers-guide", "datePublished": "30/11/2023", "dateModified": "30/11/2023", "articleBody": "We are happy to share some insights about Precisely drawn from our latest market research, Ventana Research Buyers Guide: Data Observability, which assesses how well vendors’ offerings meet buyers’ requirements. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process. We evaluated Precisely and six other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). Our analysis classified Precisely as a vendor of Merit, receiving an overall grade of B- with a 58.1% performance. Precisely’s best grouped results came in Customer Experience at 72.9% performance and a B+ grade due in part to its B++ in Validation. In Product Experience, Precisely received a C++ grade with a 54.1% performance due to its 65.8% performance in Adaptability. Precisely was designated a Leader in Validation. Precisely did not participate in the RFI process. Precisely’s C++ grade in Product Experience was impacted by its C in reliability where it could provide more information about performance, scalability and continuity. Customer Experience was impacted by its B grade in TCO/ROI where it could invest in tools to helps customers calculate costs. Precisely performed best in Customer Experience with a B+ grade, notably in Validation, receiving a B++ due to its services and support. In Manageability, technology administration and privacy are strengths, earning Precisely a B. Precisely’s configuration and APIs led to its B grade in Adaptability. This assessment was based on Precisely Data Integrity Suite - Data Observability, Version 2023 July, released July 2023. This research-based guide is the most comprehensive assessment of the value of data observability software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Read the report here.", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Precisely_is_Vendor_of_Merit_in_Data_Observability_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Collibra is Exemplary in Data Observability Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/collibra-is-exemplary-in-data-observability-buyers-guide", "datePublished": "29/11/2023", "dateModified": "29/11/2023", "articleBody": "We are happy to share some insights about Collibra drawn from our latest market research, Ventana Research Buyers Guide: Data Observability, which assesses how well vendors’ offerings meet buyers’ requirements. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process. We evaluated Collibra and six other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). Our analysis classified Collibra as Exemplary, receiving an overall grade of B with a 66.7% performance. Collibra’s best grouped results came in Customer Experience at 79.4% performance and a B++ grade due in part to its A- in TCO/ROI. In Product Experience, Collibra received a B++ with a 79.4% performance due to its 82.0% performance in TCO/ROI. Collibra was designated a Leader in Customer Experience, Adaptability and TCO/ROI. Collibra did not participate in the RFI process. Collibra’s B grade in Product Experience was impacted by its B- in Capability where it could improve support for agile and collaborative practices as well as the resolution and prevention of data reliability issues. Customer Experience was impacted by its B++ grade in Validation where it could better articulate its sales and onboarding. Collibra performed best in Product Experience with a B grade, notably in Adaptability, receiving a B++ due to its focus on configuration and APIs. In Manageability, technology administration is a strong point, earning Collibra a B+ grade. Collibra’s documentation and tooling to help customers calculate costs contributed to its B++ grade in Validation. This assessment was based on Collibra Data Intelligence Cloud, Data Quality & Observability, Version 2023.04, released April 2023. This research-based guide is the most comprehensive assessment of the value of data observability software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Read the report here.", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Collibra_is_Exemplary_in_Data_Observability_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Acceldata is Innovative in Data Observability Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/acceldata-is-innovative-in-data-observability-buyers-guide", "datePublished": "28/11/2023", "dateModified": "28/11/2023", "articleBody": "We are happy to share some insights about Acceldata drawn from our latest market research, Ventana Research Buyers Guide: Data Observability, which assesses how well vendors’ offerings meet buyers’ requirements. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process. We evaluated Acceldata and six other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). Our analysis classified Acceldata as an Innovative vendor, receiving an overall grade of B+ with a 72.5% performance. Acceldata’s best grouped results came in Product Experience at 74.9% performance and B+ grade due in part to its A in Reliability. In Customer Experience, Acceldata received a B with a 63.5% performance due to its 69.2% performance in Validation. Acceldata was designated an Overall Leader as well as a Leader in Product Experience, Capability, Manageability, Reliability and Usability. Acceldata fully participated in the RFI process. Acceldata’s B+ grade in Product Experience was impacted by its B+ in Adaptability where it could improve process integration. Customer Experience was impacted by its B- in TCO/ROI where it could provide tools to helps customers calculate costs. Acceldata performed best in Product Experience with a B+ grade, notably in Reliability, where its A grade was due to its technology architecture and operations and scalability. In Usability, intelligence and user experience are strengths, earning Acceldata a B+ grade. Acceldata’s services and product roadmap led to its B+ in Validation. This assessment was based on Acceldata Data Observability Cloud, Version 2.7.0, released May 2023. This research-based guide is the most comprehensive assessment of the value of data observability software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Read the report here.", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Acceldata_is_Innovative_in_Data_Observability_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Monte Carlo is Exemplary in Data Observability Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/monte-carlo-is-exemplary-in-data-observability-buyers-guide", "datePublished": "27/11/2023", "dateModified": "27/11/2023", "articleBody": "We are happy to share some insights about Monte Carlo drawn from our latest market research, Ventana Research Buyers Guide: Data Observability, which assesses how well vendors’ offerings meet buyers’ requirements. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process. We evaluated Monte Carlo and six other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). Our analysis classified Monte Carlo as Exemplary, receiving an overall grade of A- with an 84.5% performance. Monte Carlo’s best grouped results came in Customer Experience at 85.3% performance and an A- grade due in part to its A in TCO/ROI. In Product Experience, Monte Carlo received an A- grade with an 84.3% performance due to its 89.8% performance in Reliability. Monte Carlo was designated a Leader in all categories of this evaluation. Monte Carlo fully participated in the RFI process. Monte Carlo’s A- grade in Product Experience was nominally impacted by its A- in Adaptability where it could enhance process integration. Customer Experience was impacted by its B++ grade in Validation where it could provide more information related to sales and onboarding. Monte Carlo performed best in Customer Experience with an A- grade, notably in TCO/ROI, receiving an A due to its articulation of strategic values and tools to help customers calculate costs. In Usability, intelligence and user experience are strengths. Monte Carlo’s technology architecture and operations and scalability led to its A- grade in Reliability. This assessment was based on Monte Carlo Data Observability Platform, Version June 30, released June 2023. This research-based guide is the most comprehensive assessment of the value of data observability software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Read the report here.", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Monte_Carlo_is_Exemplary_in_Data_Observability_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Rivery is Vendor of Merit in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/rivery-is-vendor-of-merit-in-dataops-buyers-guide", "datePublished": "22/11/2023", "dateModified": "22/11/2023", "articleBody": "We are happy to share some insights about Rivery drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Rivery and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Rivery as a vendor of Merit, receiving an overall grade of C+ with a 44.7% performance. Rivery’s best grouped results came in Customer Experience at 66.7% performance and B grade due in part to its B in TCO/ROI. In Product Experience, Rivery received a C grade with a 40.9% performance due to 34.6% performance in Capability. Rivery received a B- in Adaptability and a B- in Manageability. Rivery did not participate in the RFI process. Rivery’s C grade in Product Experience was impacted by its C- in Capability where it could add functionality to address data observability. Customer Experience was impacted by its B grade in Validation where it could better articulate its services and customer commitment. Rivery performed best in Customer Experience with a B grade, notably in TCO/ROI where it received a B due to its articulation of benefits. In Adaptability, the company was a strong performer in APIs, earning a B- grade. Rivery’s security focus contributed to its B- grade in Manageability. In the Data Orchestration Buyers Guide, our analysis classified Rivery as a vendor of Merit, receiving an overall grade of B- with a 56.5% performance. Rivery’s best grouped results came in Customer Experience at 66.7% performance and a B grade due in part to its B grades in both TCO/ROI and Validation. In Product Experience, Rivery received a C++ grade with a 53.8% performance due to its 59.9% performance in Adaptability. Rivery achieved a B- in Manageability and a C++ in Capability. Rivery did not participate in the RFI process. Rivery’s C++ grade in Product Experience was impacted by its C+ in Reliability where it could provide more information related to performance and scalability. Customer Experience was impacted by its B grade in Validation where it could enhance its services and better articulate its customer commitment. Rivery performed best in Customer Experience with a B grade, notably in TCO/ROI where it received a B due to its articulation of business benefits and tools to help customers calculate costs. In Manageability, security is a strength. Rivery’s focus on integration and APIs led to its B- grade in Adaptability. In the Data Pipelines Buyers Guide, our analysis classified Rivery as a vendor of Merit, receiving an overall grade of C++ with a 51.4% performance. Rivery’s best grouped results came in Customer Experience at 66.7% performance and B grade due in part to its B in both TCO/ROI and Validation. In Product Experience, Rivery received a C+ with a 47.3% performance due to its 59.9% performance in Adaptability. Rivery received a B- in Manageability and a C+ in Usability and Reliability. Rivery did not participate in the RFI process. Rivery’s C+ grade in Product Experience was impacted by its C grade in Capability where it could enhance data pipeline testing and deployment. Customer Experience was impacted by its B grade in Validation where it could provide more information about services and customer commitment. Rivery performed best in Customer Experience with a B grade, notably in TCO/ROI where it received a B due to its articulation of benefits and cost calculation. In Manageability, security is a strength and led to a grade of B-. Rivery’s focus on integration and APIs led to its B- in Adaptability Rivery did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Rivery, Version May 2023, released May 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Rivery_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Stonebranch is Vendor of Merit in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/stonebranch-is-vendor-of-merit-in-dataops-buyers-guide", "datePublished": "21/11/2023", "dateModified": "21/11/2023", "articleBody": "We are happy to share some insights about Stonebranch drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessment and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Stonebranch and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Stonebranch as a vendor of Merit, receiving an overall grade of C+ with a 46.2% performance. Stonebranch’s best grouped results came in Customer Experience at 57.5% performance and B- grade due in part to its B- in Validation. In Product Experience, Stonebranch received a C+ grade with a 44.2% performance due to its 35.2% performance in Capability. Stonebranch received a B+ in Adaptability and a B- in Reliability. Stonebranch did not participate in the RFI process. Stonebranch’s C+ grade in Product Experience was impacted by its C- in Capability where it could add functionality to address data pipeline development, deployment and test automation. Customer Experience was impacted by its C++ grade in TCO/ROI where it could better articulate its strategic value and help customers estimate costs. Stonebranch performed best in Customer Experience with a B- grade, notably in Validation, where its B- grade was due to its viability and support. In Adaptability, customization and APIs are strengths, earning a B+ grade. Stonebranch’s technology architecture and operations led to its healthy performance and B- grade in Reliability. In the Data Observability Buyers Guide, our analysis classified Stonebranch as a vendor of Merit, receiving an overall grade of C++ with a 55.8% performance. Stonebranch’s best grouped results came in Customer Experience at 57.5% performance and a B- grade due in part to its B- in Validation. In Product Experience, Stonebranch received a C++ grade with a 55.3% performance due to its 72.6% performance in Adaptability. Stonebranch did not participate in the RFI process. Stonebranch’s C++ grade in Product Experience was impacted by its C+ in Capability where it could improve data reliability resolution and prevention. Customer Experience was impacted by its C++ grade in TCO/ROI where it could better articulate its strategic value and provide more documentation and tools to help customers calculate costs. Stonebranch performed best in Customer Experience with a B- grade, notably in Validation, receiving a B- due to its support and product roadmap. In Reliability, technology architecture and operations and continuity are strengths, earning Stonebranch a B-. Stonebranch’s configuration, customization and APIs led to its B+ grade in Adaptability. In the Data Orchestration Buyers Guide, our analysis classified Stonebranch as a vendor of Merit, receiving an overall grade of B- with a 56.4% performance. Stonebranch’s best grouped results came in Customer Experience at 57.5% performance and a B- grade due in part to its B- in Validation. In Product Experience, Stonebranch received a C++ grade with a 56.1% performance due to its 72.6% performance in Adaptability. Stonebranch achieved a B- in Reliability and a C++ in Manageability. Stonebranch did not participate in the RFI process. Stonebranch’s C++ grade in Product Experience was impacted by its C++ in Usability where it could enhance intelligence and accessibility. Customer Experience was impacted by its C++ grade in TCO/ROI where it could better articulate its strategic value and provide information and tools to help customers calculate costs. Stonebranch performed best in Customer Experience with a B- grade, notably in Validation where it received a B- due to its references and case studies and product roadmap. In Reliability, technology architecture and operations and continuity are strengths. Stonebranch’s focus on customization and APIs led to its B+ grade in Adaptability. Stonebranch did not meet the inclusion criteria for the Data Pipelines Buyers Guide and thus was not included. This assessment was based on Universal Automation Center, Version 7.4, released May 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Stonebranch_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Prefect is Vendor of Merit in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/prefect-is-vendor-of-merit-in-dataops-buyers-guide", "datePublished": "20/11/2023", "dateModified": "20/11/2023", "articleBody": "We are happy to share some insights about Prefect drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Prefect and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Prefect as a vendor of Merit, receiving an overall grade of C+ with a 46.9% performance. Prefect’s best grouped results came in Customer Experience at 57.6% performance and B- grade due in part to its B+ in Validation. In Product Experience, Prefect received a C+ grade with a 45.1% performance due to its 38.0% performance in Capability. Prefect received a B+ in Adaptability and a B- in Manageability. Prefect did not participate in the RFI process. Prefect’s C+ grade in Product Experience was impacted by its C in Capability where it could add data observability functionality and expand data pipeline development, deployment and test automation. Customer Experience was impacted by its C+ grade in TCO/ROI where it could better articulate its strategic value and potential business benefits. Prefect performed best in Customer Experience with a B- grade, notably in Validation where its performance was due to its product roadmap. In Adaptability where it received a B+ grade, customization and APIs were strong points. Prefect’s technology administration focus led to its decent grade of B- in Manageability. In the Data Orchestration Buyers Guide, our analysis classified Prefect as a vendor of Merit, receiving an overall grade of B- with a 57.9% performance. Prefect’s best grouped results came in Product Experience at 58.0% performance and a B- grade due in part to its B+ in Adaptability. In Customer Experience, Prefect received a B- grade with a 57.6% performance due to its 69.9% performance in Validation. Prefect achieved a B- in Manageability and a B- in Capability. Prefect did not participate in the RFI process. Prefect’s B- grade in Product Experience was impacted by its C in Reliability where it could provide more information regarding performance, scalability and continuity. Customer Experience was impacted by its C+ grade in TCO/ROI where it could better articulate strategic value and enhance tools to help customers calculate costs. Prefect performed best in Product Experience with a B- grade, notably in Adaptability where it received a B+ due to its customization and APIs. In Validation, product roadmap and references and case studies are strengths. Prefect’s focus on technology administration led to its B- grade in Manageability. In the Data Pipelines Buyers Guide, our analysis classified Prefect as a vendor of Merit, receiving an overall grade of C++ with a 54.4% performance. Prefect’s best grouped results came in Customer Experience at 57.6% performance and B- grade due in part to its B+ in Validation. In Product Experience, Prefect received a C++ with a 53.5% performance due to its 72.6% performance in Adaptability. Prefect received a B- in both Manageability and Usability. Prefect did not participate in the RFI process. Prefect’s C++ grade in Product Experience was impacted by its C in Reliability where it could enhance its information in relation to performance, scalability and continuity. Customer Experience was impacted by its C+ in TCO/ROI where it could better articulate its strategic value and provide more information in relation to calculating costs. Prefect performed best in Customer Experience with a B- grade, notably in Validation where it received a B+ due to its product roadmap as well as references and case studies. In Manageability, technology administration is a strength and led to a B- grade. Prefect’s customization and API support led to its B+ in Adaptability. Prefect did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Prefect Cloud, Version 2.10.18, released June 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Prefect_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Sigma Computing is Vendor of Merit in Analytics and Data Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/sigma-computing-is-vendor-of-merit-in-analytics-and-data-buyers-guide", "datePublished": "17/11/2023", "dateModified": "17/11/2023", "articleBody": "We are happy to share some insights about Sigma Computing drawn from our latest market research, Ventana Research Buyers Guide: Analytics and Data, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published five Ventana Research 2023 Analytics and Data Buyers Guides, an assessment of technology vendors and products that provide individual and combined analytics and data, augmented analytics, collaborative analytics, embedded analytics and mobile analytics and platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for analytics and data platforms for any use in your organization. We developed five technology assessments and buyers guides to focus on overall analytics and data requirements as well as specific augmented analytics, collaborative analytics, mobile analytics and embedded analytics use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and data. We evaluated Sigma Computing and 21 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and on data derived from our benchmark research on analytics and data. In the overall Analytics and Data Buyers Guide, our analysis classified Sigma Computing as a vendor of Merit, ranking 22nd in the overall research at 43.6%. Sigma Computing’s best performance came in Customer Experience at 32.7%, ranking 20th, due in part to its 20th-place ranking in Validation. In Product Experience, Sigma Computing placed 22nd at 45.6% due to low performance in Reliability, Adaptability and Capability. Sigma Computing did not participate in the RFI process. Sigma Computing’s Product Experience was impacted by its 43.3% performance in Capability, where it could provide more predictive and notification functionality. Customer Experience was impacted by its 32.2% performance in TCO/ROI, where it could provide more information the help an organization quantify costs and benefits. Sigma Computing performed best in Product Experience, notably in Usability, where its 50.2% performance was due to its support for data entry, which few vendors offer, and rapid training based on its spreadsheet-style interface. In addition, Sigma Computing’s collaborative functionality, both within the product and in third-party products, boosted its performance in Capability. In the Augmented Analytics Buyers Guide, our analysis classified Sigma Computing as a vendor of Merit, ranking 22nd in the overall research at 43.6%. Sigma Computing’s best performance came in Customer Experience at 32.7%, ranking 20th, due in part to its 20th-place ranking in Validation. In Product Experience, Sigma Computing placed 22nd at 39.9% due to low performance in Reliability, Adaptability and Capability. Sigma Computing did not participate in the RFI process. Sigma Computing’s Product Experience was impacted by its 32.9% performance in Capability, where it lacks NLP and predictive modeling functionality. It also lacks automated agents and alerting. Customer Experience was impacted by its 32.2% performance in TCO/ROI, where it could provide more information the help an organization quantify costs and benefits. Sigma Computing performed best in Product Experience, notably in Usability, where its 50.2% performance was due to its support for data entry, which few vendors offer, and rapid training based on its spreadsheet-style interface. In addition, Sigma Computing provides built-in forecasting functionality based in part on its data entry capabilities. In the Collaborative Analytics Buyers Guide, our analysis classified Sigma Computing as a vendor of Merit, ranking 22nd in the overall research at 42.5%. Sigma Computing’s best performance came in Customer Experience at 32.7%, ranking 20th, due in part to its 20th-place ranking in Validation. In Product Experience, Sigma Computing placed 21st at 45.2% due to low performance in Reliability and Adaptability. Sigma Computing did not participate in the RFI process. Sigma Computing’s Product Experience was impacted by its 48.3% performance in Reliability, where it lacks NLP functionality. Customer Experience was impacted by its 32.2% performance in TCO/ROI, where it could provide more information the help an organization quantify costs and benefits. Sigma Computing performed best in Product Experience, notably in Capability, where its 14th-place ranking was due to its support for sharing analyses individually, via subscriptions or in discussion groups including via external collaboration tools. It provides version control of shared analyses via tagging. In addition, Sigma Computing’s provides a unique capability for simultaneous live editing of analyses. In the Embedded Analytics Buyers Guide, our analysis classified Sigma Computing as a vendor of Merit, ranking 22nd in the overall research at 44.6%. Sigma Computing’s best performance came in Customer Experience at 32.7%, ranking 20th, due in part to its 20th-place ranking in Validation. In Product Experience, Sigma Computing placed 22nd at 47.0% due to low performance in Reliability, Adaptability and Capability. Sigma Computing did not participate in the RFI process. Sigma Computing’s Product Experience was impacted by its 45.2% performance in Capability, where it lacks some of the data access functionality of other products. Customer Experience was impacted by its 32.2% performance in TCO/ROI, where it could provide more information the help an organization quantify costs and benefits. Sigma Computing performed best in Product Experience, notably in Usability, where it 50.2% performance was due to its unique support for spreadsheet-style data entry, which few vendors offer, and rapid training based on its spreadsheet-style interface. In addition, Sigma Computing provides built in forecasting functionality based in part on its data entry capabilities. In the Mobile Analytics Buyers Guide, our analysis classified Sigma Computing as a vendor of Merit, ranking 22nd in the overall research at 46.7%. Sigma Computing’s best performance came in Customer Experience at 32.7%, ranking 20th, due in part to its 20th-place ranking in Validation. In Product Experience, Sigma Computing placed 22nd at 49.4% due to low performance in Reliability and Adaptability. Sigma Computing did not participate in the RFI process. Sigma Computing’s Product Experience was impacted by its 48.3% performance in Reliability, where it could provide more support for performance optimization and business continuity. Customer Experience was impacted by its 32.2% performance in TCO/ROI, where it could provide more information the help an organization quantify costs and benefits. Sigma Computing performed best in Product Experience, notably in Usability, where its 50.2% performance was due to its support for data entry, which few vendors offer, and rapid training based on its spreadsheet-style interface. In Capability, Sigma Computing offers two design modes: synchronized mobile layout and customized mobile layout, enabling highly customized mobile designs or design once, deploy anywhere functionality. This assessment was based on Sigma, Version July 2023, and was available in July of 2023. This research-based index is the most comprehensive assessment of the value of analytics and data software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: Analytics and Data Buyers Guide Augmented Analytics Buyers Guide Collaborative Analytics Buyers Guide Embedded Analytics Buyers Guide Mobile Analytics Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Sigma_Computing_is_Vendor_of_Merit_in_Analytics_and_Data_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Infoworks.io is Vendor of Merit in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/infoworks.io-is-vendor-of-merit-in-dataops-buyers-guide", "datePublished": "17/11/2023", "dateModified": "17/11/2023", "articleBody": "We are happy to share some insights about Infoworks.io drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Infoworks.io and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Infoworks as a vendor of Merit, receiving an overall grade of C+ with a 47.7% performance. Infoworks’ best group results came in Customer Experience at 49.9% performance and C+ grade due in part to its C++ in Validation. In Product Experience, Infoworks received a C+ grade with a 47.3% performance due to its 39.9% performance in Capability. Infoworks received a B+ in Adaptability and a B+ in Reliability. Infoworks did not participate in the RFI process. Infoworks’ C+ grade in Product Experience was impacted by its C in Capability where it could add data observability functionality and enhance data pipeline development, deployment and test automation. Customer Experience was impacted by its C+ grade in TCO/ROI where it could increase investment in articulating its benefits and facilitating cost estimation. Infoworks performed best in Customer Experience with a C+ grade, notably in Validation, receiving a C++ due to its product roadmap and support offerings. In Reliability, Infoworks was rated highly in technology architecture and operations, as well as scalability. Infoworks’ configuration and customization options led to its solid B+ grade in Adaptability. In the Data Orchestration Buyers Guide, our analysis classified Infoworks.io as a vendor of Merit, receiving an overall grade of B- with a 57.1% performance. Infoworks.io's best grouped results came in Product Experience at 59.1% performance and a B- grade due in part to its B+ in Adaptability. In Customer Experience, Infoworks.io received a C+ grade with a 49.9% performance due to its 54.9% performance in Validation. Infoworks.io achieved a B+ in Reliability and a B- in Capability. Infoworks.io did not participate in the RFI process. Infoworks.io's B- grade in Product Experience was impacted by its C+ in Usability where it could improve intelligence and accessibility. Customer Experience was impacted by its C+ grade in TCO/ROI where it could better articulate its strategic value and provide information and tools to help customers calculate costs. Infoworks.io performed best in Product Experience with a B- grade, notably in Adaptability where it received a B+ due to its configuration and APIs. In Reliability, technology architecture and operations and scalability are strengths. Infoworks.io’s support and product roadmap led to its C++ grade in Validation. In the Data Pipelines Buyers Guide, our analysis classified Infoworks.io as a vendor of Merit, receiving an overall grade of C++ with a 55.2% performance. Infoworks.io’s best grouped results came in Product Experience at 56.7% performance and B- grade due in part to its B+ in both Adaptability and Reliability. In Customer Experience, Infoworks.io received a C+ with a 49.9% performance due to its 54.9% performance in Validation. Infoworks.io received a C++ for both Capability and Manageability. Infoworks.io did not participate in the RFI process. Infoworks.io’s B- grade in Product Experience was impacted by its C+ grade in Usability where it could enhance intelligence and accessibility. Customer Experience was impacted by its C+ grade in TCO/ROI where it could provide documentation and tooling to help customers calculate costs and better articulate strategic value. Infoworks.io performed best in Product Experience with a B- grade, notably in Adaptability where it received a B+ due to its configuration and APIs. In Validation, support and product roadmap are strengths led to a grade of C++. Infoworks.io’s focus on technology architecture and operations and scalability led to its B+ in Reliability. Infoworks.io did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Infoworks Platform, Version 5.4.2, released May 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Infoworks.io_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Y42 is Vendor of Merit in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/y42-is-vendor-of-merit-in-dataops-buyers-guide", "datePublished": "16/11/2023", "dateModified": "16/11/2023", "articleBody": "We are happy to share some insights about Y42 drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Y42 and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Y42 as a vendor of Merit, receiving an overall grade of C+ with a 48.6% performance. Y42’s best grouped results came in Customer Experience at 50.3% performance and C++ grade due in part to its B- in Validation. In Product Experience, Y42 received a C+ grade with a 48.3% performance due to its 41.7% performance in Capability. Y42 achieved a B+ in Adaptability and a B in Usability. Y42 did not participate in the RFI process. Y42’s C+ grade in Product Experience was impacted by its C in Capability where it could add functionality to address data observability. Customer Experience was impacted by its C grade in TCO/ROI where it could articulate its strategic value and costs. Y42 performed best in Customer Experience, notably in Validation with a B- grade due to its product roadmap and references. In Adaptability, customization and APIs are strengths and earned a B+ grade. Y42’s user experience focus led to its healthy performance and B grade in Usability. In the Data Orchestration Buyers Guide, our analysis classified Y42 as a vendor of Merit, receiving an overall grade of B- with a 58.3% performance. Y42’s best grouped results came in Product Experience at 60.4% performance and a B- grade due in part to its B+ in Adaptability. In Customer Experience, Y42 received a C++ grade with a 50.3% performance due to its 57.3% performance in Validation. Y42 achieved a B in Usability and a B- in Capability and Manageability. Y42 did not participate in the RFI process. Y42’s B- grade in Product Experience was impacted by its C+ in Reliability where it could provide more information about performance and scalability. Customer Experience was impacted by its C grade in TCO/ROI where it could better articulate its strategic value and help customers calculate costs. Y42 performed best in Product Experience with a B- grade, notably in Adaptability where it received a B+ due to its configuration, customization and APIs. In Usability, intelligence and user experience are strengths. Y42’s references and case studies and product roadmap led to its B- grade in Validation. In the Data Pipelines Buyers Guide, our analysis classified Y42 as a vendor of Merit, receiving an overall grade of B- with a 56.9% performance. Y42’s best grouped results came in Product Experience at 58.6% performance and B- grade due in part to its B+ in Adaptability. In Customer Experience, Y42 received a C++ with a 50.3% performance due to its 57.3% performance in Validation. Y42 received a B in Usability and B- in both Capability and Manageability. Y42 did not participate in the RFI process. Y42’s B- grade in Product Experience was impacted by its C+ grade in Reliability where it could provide more information in relation to performance and scalability. Customer Experience was impacted by its C grade in TCO/ROI where it could better articulate strategic value and provide documentation and tools to help customers calculate costs. Y42 performed best in Product Experience with a B- grade, notably in Adaptability where it received a B+ due to its configuration, customization and APIs. In Validation, product roadmap and references and customer case studies were strengths and led to a B- grade. Y42’s focus on user experience led to its B in Usability. Y42 did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Y42, Version 2, released Nov 2022. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Y42_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Hitachi Vantara is Vendor of Merit in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/hitachi-vantara-is-vendor-of-merit-in-dataops-buyers-guide", "datePublished": "15/11/2023", "dateModified": "15/11/2023", "articleBody": "We are happy to share some insights about Hitachi Vantara drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Hitachi Vantara and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Hitachi Vantara as a vendor of Merit, receiving an overall grade of C++ with a 51.1% performance. Hitachi Vantara’s best performance came in Customer Experience at 60.8% performance with a B- grade due in part to its B++ in Validation. In Product Experience, Hitachi Vantara received a C+ grade with a 49.4% performance due to its 40.1% performance in Capability. Hitachi Vantara was designated a Leader in Adaptability and Usability. Hitachi Vantara did not participate in the RFI process. Hitachi Vantara’s C+ grade in Product Experience was impacted by its C in Capability where it could add data observability functionality and enhance data pipeline development. Customer Experience was impacted by its C grade in TCO/ROI where it could better articulate its strategic value. Hitachi Vantara performed best in Customer Experience with a B- grade, notably in Validation, where its B++ grade was due to its viability, services and customer service. In Product Experience, Hitachi Vantara did well in Adaptability, receiving a B++ grade due to its customization and API capabilities. In the Data Orchestration Buyers Guide, our analysis classified Hitachi Vantara as a vendor of Merit, receiving an overall grade of B- with a 62.3% performance. Hitachi Vantara’s best grouped results came in Product Experience at 62.7% performance and a B grade due in part to its B++ in Adaptability. In Customer Experience, Hitachi Vantara received a B- grade with a 60.8% performance due to its 79.6% performance in Validation. Hitachi Vantara was designated a Leader in Adaptability. Hitachi Vantara did not participate in the RFI process. Hitachi Vantara’s B grade in Product Experience was impacted by its B- in Capability where it could enhance pipeline monitoring and management. Customer Experience was impacted by its C grade in TCO/ROI where it could better articulate its strategic value and enhance information for customers to calculate costs. Hitachi Vantara performed best in Product Experience with a B grade, notably in Adaptability where it received a B++ due to its customization and APIs. In Usability, Hitachi Vantara scored well in accessibility as well as user experience. Hitachi Vantara’s services, viability and customer commitment led to its B++ grade in Validation. In the Data Pipelines Buyers Guide, our analysis classified Hitachi Vantara as a vendor of Merit, receiving an overall grade of B- with a 58.8% performance. Hitachi Vantara’s best grouped results came in Customer Experience at 60.8% performance and B- grade due in part to its B++ in Validation. In Product Experience, Hitachi Vantara received a B- with a 58.3% performance due to its 75.5% performance in Adaptability. Hitachi Vantara was designated a Leader in Adaptability. Hitachi Vantara did not participate in the RFI process. Hitachi Vantara’s B- grade in Product Experience was impacted by its C+ grade in Capability where it could enhance pipeline testing and deployment. Customer Experience was impacted by its C grade in TCO/ROI where it could better help customers build a business case and provide information and tooling to calculate costs. Hitachi Vantara performed best in Customer Experience with a B- grade, notably in Validation where it received a B++ due to its services, support and viability. In Usability, Hitachi Vantara performed well in relation to the user experience. Hitachi Vantara’s customization and APIs led to its B++ in Adaptability and designation as Leader. Hitachi Vantara did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Pentaho Data Integration and Analytics, Version 9.5, released May 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Hitachi_Vantara_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Astronomer is Vendor of Merit in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/astronomer-is-vendor-of-merit-in-dataops-buyers-guide", "datePublished": "14/11/2023", "dateModified": "14/11/2023", "articleBody": "We are happy to share some insights about Astronomer drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Astronomer and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Astronomer as a vendor of Merit, receiving an overall grade of C++ with a 52.4% performance. Astronomer’s best grouped results came in Customer Experience with a 64.2% performance and B grade due in part to its B in Validation. In Product Experience, Astronomer received a C++ with a 50.3% performance due to its 42.5% performance in Capability. Astronomer received an A- in Reliability and a B+ in Adaptability. Astronomer did not participate in the RFI process. Astronomer’s C++ grade in Product Experience was impacted by its C in Capability, which could be improved by adding data observability functionality and enhancing data pipeline development. Customer Experience was impacted by its B grade in TCO/ROI where it could increase investment and improve information about its tooling. Astronomer performed best in Customer Experience, notably in Validation, receiving a B in both due to its product roadmap and services. In Product Experience, it did well with a C++, most notably in Reliability, specifically in technology architecture and operations, scalability and continuity. In the Data Orchestration Buyers Guide, our analysis classified Astronomer as an Innovative vendor, receiving an overall grade of B with a 67.2% performance. Astronomer’s best grouped results came in Product Experience at 67.9% performance and a B grade due in part to its A- in Reliability. In Customer Experience, Astronomer received a B grade with a 64.2% performance due to its 67.7% performance in Validation. Astronomer achieved a B+ in Adaptability and Capability and a B- in TCO/ROI. Astronomer did not participate in the RFI process. Astronomer’s B grade in Product Experience was impacted by its C+ in Usability where it could improve accessibility and the overall user experience. Customer Experience was impacted by its B- grade in TCO/ROI where it could better articulate the business case and provide tools for customers to calculate costs. Astronomer performed best in Product Experience with a B grade, notably in Reliability where it received an A- due to its focus on technology architecture and operations, as well as scalability. In Capability, pipeline management and workflow management are strengths. Astronomer’s focus on configuration and APIs led to its B+ grade in Adaptability. In the Data Pipelines Buyers Guide, our analysis classified Astronomer as a vendor of Merit, receiving an overall grade of B- with a 58.0% performance. Astronomer’s best grouped results came in Customer Experience at 64.2% performance and B grade due in part to its B in Validation. In Product Experience, Astronomer received a B- with a 56.4% performance due to its 82.4% performance in Reliability. Astronomer received a B+ for Adaptability and a B- for Manageability. Astronomer did not participate in the RFI process. Astronomer’s B- grade in Product Experience was impacted by its C+ in Capability where it could enhance pipeline testing and deployment. Customer Experience was impacted by its B- grade in TCO/ROI where it could better assist customers in building a business case and enhance its tools for calculating costs. Astronomer performed best in Customer Experience, notably in Validation where it received a B due to its services and product roadmap. In Reliability, technology architecture and operations, scalability and continuity are strengths. Astronomer’s customization and APIs led to its B+ in Adaptability. Astronomer did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Astro, Astronomer Software, Version 8.4, released May 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Astronomer_is_Vendor_of_Merit_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Matillion is Vendor of Assurance in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/matillion-is-vendor-of-assurance-in-dataops-buyers-guide", "datePublished": "13/11/2023", "dateModified": "13/11/2023", "articleBody": "We are happy to share some insights about Matillion drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Matillion and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Matillion as a vendor of Assurance, receiving an overall grade of C++ with a 55.7% performance. Matillion’s best grouped results came in Customer Experience at 74.6% performance and B+ grade due in part to its B++ in TCO/ROI. In Product Experience, Matillion received a C++ grade with a 52.4% performance due to a 42.4% performance in Capability. Matillion achieved an A- in Reliability and a B+ in Adaptability. Matillion did not participate in the RFI process. Matillion’s C++ grade in Product Experience was impacted by its C in Capability where it could add data observability functionality. Customer Experience was impacted by its B+ grade in Validation where it could better articulate its commitment to customer success. Matillion performed best in Customer Experience with a B+ grade, notably in TCO/ROI where it received a B++ grade due to its focus on assisting potential customers to make a business case. In Reliability, Matillion scored well in relation to scalability and continuity, receiving an A- grade. Matillion’s focus on customization led to its decent performance in Adaptability with a B+ grade. In the Data Orchestration Buyers Guide, our analysis classified Matillion as a vendor of Assurance, receiving an overall grade of B with a 68.2% performance. Matillion’s best grouped results came in Customer Experience at 74.6% performance and a B+ grade due in part to its B++ in TCO/ROI. In Product Experience, Matillion received a B grade with a 66.5% performance due to its 83.7% performance in Reliability. Matillion achieved a B+ in Adaptability and a B+ in Validation. Matillion did not participate in the RFI process. Matillion’s B grade in Product Experience was impacted by its B- in Capability where it could enhance pipeline and workflow management. Customer Experience was impacted by its B+ grade in Validation where it could improve its articulation of customer commitment. Matillion performed best in Customer Experience with a B+ grade, notably in TCO/ROI where it received a B++ due to its articulation of strategic value and resources to help customers build a business case. In Adaptability, customization and APIs are strengths. Matillion’s scalability and continuity capabilities led to its A- grade in Reliability. In the Data Pipelines Buyers Guide, our analysis classified Matillion as a vendor of Assurance, receiving an overall grade of B with a 67.0% performance. Matillion’s best grouped results came in Customer Experience at 74.6% performance and B+ grade due in part to its B++ in TCO/ROI. In Product Experience, Matillion received a B with a 65.0% performance due to its 83.7% performance in Reliability. Matillion received a B+ in Adaptability and a B in Manageability. Matillion did not participate in the RFI process. Matillion’s B grade in Product Experience was impacted by its B- grade in Usability where it could enhance intelligence and accessibility. Customer Experience was impacted by its B+ grade in Validation where it could better articulate its customer commitment. Matillion performed best in Customer Experience with a B+ grade, notably in TCO/ROI where it received a B++ due to its articulation of business benefits and assisting customers to make a business case. In Adaptability, customization and APIs are strengths and led to a B+ grade. Matillion’s focus on scalability and continuity led to its A- in Reliability. Matillion did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Data Productivity Cloud, Version 1.71, released May 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_Matillion_is_Vendor_of_Assurance_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "StreamSets is Vendor of Merit in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/streamsets-is-vendor-of-merit-in-dataops-buyers-guide", "datePublished": "09/11/2023", "dateModified": "09/11/2023", "articleBody": "We are happy to share some insights about StreamSets drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated StreamSets and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified StreamSets as a vendor of Merit, receiving an overall grade of C++ with a 54.2% performance. StreamSets’s best grouped results came in Customer Experience at 59.5% performance and B- grade due in part to its B+ in Validation. In Product Experience, StreamSets received a C++ grade with a 53.3% performance due to its 48.8% performance in Capability. StreamSets received a B+ in Adaptability and a B in Manageability. StreamSets did not participate in the RFI process. StreamSets’s C++ grade in Product Experience was impacted by its C+ in Capability where it could add functionality to address data observability. Customer Experience was impacted by its C+ grade in TCO/ROI where it could better articulate its strategic value and costs. StreamSets performed best in Customer Experience, notably in Validation with a B+ grade due to its support and product roadmap. In Adaptability, customization and APIs are strengths, earning a B+ grade. StreamSets’ security focus led to its decent performance and B grade in Manageability. In the Data Orchestration Buyers Guide, our analysis classified StreamSets as a vendor of Merit, receiving an overall grade of B with a 62.9% performance. StreamSets’ best grouped results came in Product Experience at 63.8% performance and a B grade due in part to its B+ in Adaptability. In Customer Experience, StreamSets received a B- grade with a 59.5% performance due to its 70.7% performance in Validation. StreamSets achieved a B in Capability and Manageability. StreamSets did not participate in the RFI process. StreamSets’ B grade in Product Experience was impacted by its C++ in Reliability where it could provide more information about performance and scalability. Customer Experience was impacted by its C+ grade in TCO/ROI where it could better articulate its strategic value. StreamSets performed best in Product Experience with a B grade, notably in Adaptability where it received a B+ due to its configuration, customization and APIs. StreamSets’ support and product roadmaps contributed to its B+ grade in Validation. In the Data Pipelines Buyers Guide, our analysis classified StreamSets as a vendor of Merit, receiving an overall grade of B- with a 61.9% performance. StreamSets’ best grouped results came in Product Experience at 62.6% performance and B grade due in part to its B+ in Adaptability. In Customer Experience, StreamSets received a B- with a 59.5% performance due to its 70.7% performance in Validation. StreamSets received a B in both Capability and Manageability. StreamSets did not participate in the RFI process. StreamSets’ B grade in Product Experience was impacted by its C++ grade in Reliability where it could improve its information related to performance and scalability. Customer Experience was impacted by its C+ grade in TCO/ROI where it could better articulate strategic value and provide documentation and tools to help customers calculate costs. StreamSets performed best in Product Experience with a B grade, notably in Adaptability, where it received a B+ due to its configuration, customization and APIs. In Validation, support and product roadmap are strengths and led to a grade of B+. StreamSets’ focus on technology administration and security led to its B in Manageability. StreamSets did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on StreamSets platform, Version June 2023, released June 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_StreamSets_is_Vendor_of_Merit_in_DataOps_Buyers_Guide%20.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "AWS is Exemplary in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/aws-is-exemplary-in-dataops-buyers-guide", "datePublished": "08/11/2023", "dateModified": "08/11/2023", "articleBody": "We are happy to share some insights about AWS drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated AWS and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified AWS as Exemplary, receiving an overall grade of B- with 58.8% performance. AWS’ best grouped results came in Customer Experience at 86.0% with an A- grade due in part to its A- in both Validation and TCO/ROI. In Product Experience, AWS received C++ grade at 54.1% performance due to its 44.6% performance in Capability. AWS was designated a Leader in Customer Experience and Reliability. AWS did not participate in the RFI process. AWS’ C++ grade in Product Experience was impacted by its C+ in Capability where it could add data observability functionality and enhance data pipeline development. Customer Experience was impacted slightly by its A- grade in Validation where it could reiterate the investments it is making in enhancing customer experience and continue to develop strong and quantified customer use cases. AWS performed best in Customer Experience where it was a Leader, notably in TCO/ROI, receiving an A- grade in both, due to its business case documentation, strategic value, tools and costs. In Product Experience, it did well with a C++. AWS was a Leader in Reliability with A- grade due to its commitment to technology architecture and operations and scalability. In the Data Orchestration Buyers Guide, our analysis classified AWS as Exemplary, receiving an overall grade of B+ with a 71.8% performance. AWS’ best grouped results came in Customer Experience at 86.0% performance and an A- grade due in part to receiving an A- in both TCO/ROI and Validation. In Product Experience, AWS received a B grade with a 68.0% performance due to its 85.6% performance in Reliability. AWS was designated a Leader in Customer Experience and Reliability. AWS did not participate in the RFI process. AWS’ B grade in Product Experience was impacted by its C++ in Usability where it could improve accessibility and intelligence. Customer Experience was impacted by its A- grade in Validation where it could improve references and case studies, as well as information related to sales and onboarding. AWS performed best in Customer Experience with an A- grade, notably in TCO/ROI where it received an A- due to its articulation of strategic value and documentation and tools to help customers calculate costs. In Reliability, scalability, performance and continuity are strengths. AWS’ focus on configuration and APIs led to its B+ grade in Adaptability. In the Data Pipelines Buyers Guide, our analysis classified AWS as Exemplary, receiving an overall grade of B+ with a 69.6% performance. AWS’ best grouped results came in Customer Experience with a 86.0% performance and A- grade due in part to its A- in both TCO/ROI and Validation. In Product Experience, AWS received a B with a 65.2% performance due to its 85.6% performance in Reliability. AWS was designated a Leader in Customer Experience and Reliability. AWS did not participate in the RFI process. AWS’ B grade in Product Experience was impacted by its B- in Capability where it could enhance pipeline testing and deployment. Customer Experience was impacted by its A- grade in Validation where it could provide more in-depth information in relation to sales and onboarding as well as references and case studies. AWS performed best in Customer Experience with an A- grade, notably in TCO/ROI where it received an A- due to its documentation and tools to facilitate the understanding of costs and strategic value. In Reliability, performance, scalability and continuity were strengths. AWS’ privacy and security focus led to its B++ in Manageability. AWS did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Amazon Managed Workflows for Apache Airflow, Version 2.5.1, released January 2023; AWS Glue, Version 4.0, released January 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_AWS_is_Exemplary_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "SAP is Exemplary in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/sap-is-exemplary-in-dataops-buyers-guide", "datePublished": "07/11/2023", "dateModified": "07/11/2023", "articleBody": "We are happy to share some insights about SAP drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated SAP and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified SAP as Exemplary, receiving an overall grade of B- with a 59.1% performance. SAP’s best grouped results came in Customer Experience at 85.2% performance and A- grade due in part to its A- in both TCO/ROI and Validation. In Product Experience, SAP received a C++ grade with a 54.5% performance due to its 45.5% performance in Capability. SAP was designated a Leader in Manageability. SAP did not participate in the RFI process. SAP’s C++ grade in Product Experience was impacted by its C+ in Capability where it could add functionality to address data observability. Although the company scored well in Customer Experience with an A-, it could improve information about its tooling for TCO/ROI and references in Validation. SAP performed best in Customer Experience, where its performance was due to its business case documentation in TCO/ROI and services and support in Validation. In Manageability, where it was a Leader with a B++ grade, privacy, security and technology administration are strengths. SAP’s technology architecture and operations and scalability led to its healthy performance and B+ grade in Reliability. In the Data Orchestration Buyers Guide, our analysis classified SAP as Exemplary, receiving an overall grade of B+ with a 71.3% performance. SAP’s best grouped results came in Customer Experience at 85.2% performance and an A- grade due to receiving an A- in both TCO/ROI and Validation. In Product Experience, SAP received a B grade with a 67.7% performance due to its 80.4% performance in Manageability, in which SAP was designated a Leader. SAP did not participate in the RFI process. SAP’s B grade in Product Experience was impacted by its B- in Usability where it could improve intelligence and accessibility. Customer Experience could be improved with better articulation of benefits. SAP performed best in Customer Experience with an A- grade due to tooling to help customers calculate costs in TCO/ROI, and service, support and viability in Validation. In Reliability, technology architecture and operations and scalability are strengths. SAP’s focus on technology administration, security and privacy led to its B++ grade in Manageability. In the Data Pipelines Buyers Guide, our analysis classified SAP as Exemplary, receiving an overall grade of B+ with a 69.3% performance. SAP’s best grouped results came in Customer Experience at 85.2% performance and A- grade due in part to its A- in both TCO/ROI and Validation. In Product Experience, SAP received a B+ with a 65.1% performance due to its 80.4% performance in Manageability. SAP was designated a Leader in Manageability. SAP did not participate in the RFI process. SAP’s B+ grade in Product Experience was impacted by its B- grade in Capability where it could enhance pipeline testing and deployment. Customer Experience could be improved with better articulation of benefits. SAP performed best in Customer Experience with an A- grade due to tolling to help customers calculate costs in TCO/ROI and service, support and viability in Validation. In Reliability, technology architecture and operations and security are strengths and led to a grade of B+. SAP’s focus on privacy and security led to its B++ grade and designation of Leader in Manageability. SAP did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Data Intelligence Cloud, Version 2023, released May 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_SAP_is_Exemplary_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "BMC is Exemplary in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/bmc-is-exemplary-in-dataops-buyers-guide", "datePublished": "06/11/2023", "dateModified": "06/11/2023", "articleBody": "We are happy to share some insights about BMC drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated BMC and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified BMC as Exemplary, receiving an overall grade of B- with a 59.6% performance. BMC’s best grouped results came in Customer Experience with a 82.1% performance and A- grade due in part to its A- in Validation. In Product Experience, BMC received C++ with a 55.7% performance due to its 51.3% performance in Reliability. BMC received a B+ in Adaptability and a B- in Usability. BMC partially participated in the RFI process. BMC’s C++ grade in Product Experience was impacted by its C++ in Reliability where it could improve its performance and scalability. Customer Experience was impacted by its B++ grade in TCO/ROI where it could improve information about its tooling. BMC performed best in Customer Experience with an A- grade, notably in Validation where its A- was due to its service, support, customer commitment, and sales and onboarding. In Product Experience, it did well in Adaptability with a B+ grade due to its configuration and API capabilities. In the Data Orchestration Buyers Guide, our analysis classified BMC as Exemplary, receiving an overall grade of B+ with a 72.6% performance. BMC’s best grouped results came in Customer Experience at 82.1% performance and an A- grade due in part to its A- in Validation. In Product Experience, BMC received a B+ grade with a 70.1% performance due to its 79.6% performance in Capability, where BMC was designated a Leader. BMC partially participated in the RFI process. BMC’s B+ grade in Product Experience was impacted by its C++ in Reliability where it could provide more information related to performance and scalability. Customer Experience was impacted by its B++ grade in TCO/ROI where it could improve tools to help customers calculate costs. BMC performed best in Customer Experience with an A- grade, notably in Validation where it received an A- due to its services and articulation of customer commitment. In Adaptability, configuration and APIs are strengths. BMC’s focus on workflow orchestration contributed to its B++ grade in Capability. In the Data Pipelines Buyers Guide, our analysis classified BMC as a vendor of Assurance, receiving an overall grade of B with a 67.2% performance. BMC’s best grouped results came in Customer Experience at 82.1% performance and A grade due in part to its A- in Validation. In Product Experience, BMC received a B grade with a 63.2% performance due to its 73.5% performance in Adaptability. BMC received a B++ in TCO/ROI and a B in Capability. BMC partially participated in the RFI process. BMC’s B grade in Product Experience was impacted by its C++ in Reliability where it could provide more information in relation to performance, scalability and continuity. Customer Experience was impacted by its B++ grade in TCO/ROI where it could provide more information about tooling to calculate costs and value. BMC performed best in Customer Experience with an A- grade, notably in Validation where it received an A- due to its services and demonstration of customer commitment. In Adaptability, APIs and configuration are strengths and led to a grade of B+. BMC’s pipeline development functionality led to its B grade in Capability. BMC did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Control-M, Version 9.0.21.100, released May 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. Click below to read the individual reports: DataOps Buyers Guide Data Observability Buyers Guide Data Orchestration Buyers Guide Data Pipelines Buyers Guide", "image": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/MP_BMC_is_Exemplary_in_DataOps_Buyers_Guide.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "ISG Software Research", "url": "https://research.isg-one.com/market-perspectives/author/isg-software-research", "sameAs": "https://www.linkedin.com/company/ventana-research" }, "publisher": { "@type": "Organization", "name": "ISG", "url": "research.isg-one.com", "logo": { "@type": "ImageObject", "url": "https://www.ventanaresearch.com/hubfs/ISG_Software_Research_Logo_Color@2x.png" } } }</script> <script type="application/ld+json"> { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Google is Exemplary in DataOps Buyers Guide", "mainEntityOfPage": "https://research.isg-one.com/market-perspectives/google-is-exemplary-in-dataops-buyers-guide", "datePublished": "03/11/2023", "dateModified": "03/11/2023", "articleBody": "We are happy to share some insights about Google drawn from our latest market research, Ventana Research Buyers Guide: DataOps, which assesses how well vendors’ offerings meet buyers’ requirements. We recently published four Ventana Research 2023 DataOps Buyers Guides, an assessment of technology vendors and products that provide individual and combined DataOps, data observability, data orchestration and data pipeline platform support. At Ventana Research, we continue to believe that, for most use-cases, there is a clear choice for DataOps platforms for any use in your organization. We developed four technology assessments and buyers guides to focus on overall DataOps requirements as well as specific data observability, data orchestration and data pipeline platform use-cases. In all of our Buyers Guides, we utilize a structured research methodology called the Value Index that includes evaluation categories designed to reflect real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for DataOps. We evaluated Google and 17 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). In the overall DataOps Buyers Guide, our analysis classified Google as Exemplary, receiving an overall grade of B- with a 61.1% performance. Google’s best grouped results came in Customer Experience at 84.2% performance and A- grade due in part to its A- in both Validation and TCO/ROI. In Product Experience, Google received a B- with a 57.1% performance due to its 49.2% performance in Capability. Google was designated a Leader in Reliability and Validation. Google did not participate in the RFI process. Google’s B- grade in Product Experience was impacted by its C+ in Capability where it could add data observability functionality and improve collaboration capabilities. Customer Experience was impacted by its A- grade in TCO/ROI where it could better articulate the business case for customer investment. Google performed best in Customer Experience, notably in Validation where it was a Leader, both receiving an A- grade. Strong points in that category include viability, customer support, services and product roadmap. In Product Experience, it did well in Reliability where it was a Leader with an A grade due to its performance, scalability and continuity. In the Data Orchestration Buyers Guide, our analysis classified Google as Exemplary, receiving an overall grade of B+ with a 73.0% performance. Google’s best grouped results came in Customer Experience at 84.2% performance and an A- grade due in part to achieving A- grades in both TCO/ROI and Validation. In Product Experience, Google received a B+ grade with a 70.0% performance due to its 90.1% performance in Reliability. Google was designated a Leader in Reliability and Validation. Google did not participate in the RFI process. Google’s B+ grade in Product Experience was impacted by its C++ in Usability where it could improve intelligence and accessibility. Customer Experience was impacted by its A- grade in TCO//ROI where it could provide information to help customers build a business case. Google performed best in Customer Experience with an A- grade, notably in Validation where it received an A- due to its services, support and articulation of customer commitment. In Manageability, technology administration, security and privacy are strengths. Google’s performance, scalability and continuity led to its A grade in Reliability. In the Data Pipelines Buyers Guide, our analysis classified Google as Exemplary, receiving an overall grade of B+ with a 71.1% performance. Google’s best grouped results came in Customer Experience at 84.2% performance and A- grade due in part to its A- in both TCO/ROI and Validation. In Product Experience, Google received a B with a 67.6% performance due to its 90.1% performance in Reliability. Google was designated a Leader in Reliability and Validation. Google did not participate in the RFI process. Google’s B grade in Product Experience was impacted by its C++ in Usability where it could enhance accessibility and intelligence. Customer Experience was impacted by its A- grade in TCO/ROI where it could better facilitate customers to build a business case. Google performed best in Customer Experience with an A- grade, notably in Validation where it received an A- due to its support and viability. In Manageability, privacy, security and technology administration are strengths and led to a grade of B+ and Leader designation. Google’s focus on performance, scalability and continuity led to its A in Reliability and Leader designation. Google did not meet the inclusion criteria for the Data Observability Buyers Guide and thus was not included. This assessment was based on Cloud Composer, Version 2.3.2 released June 2023; Cloud Dataprep by Trifacta, Version 10.1, released July 2023. This research-based guide is the most comprehensive assessment of the value of DataOps software in the industry. Technology buyers can learn more about how to use our Buyers Guide by clicking here and included vendors that wish to learn more can click here. 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