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class="nRhiJb-DARUcf"><div class="Wdmc0c nRhiJb-DbgRPb-wNfPc-cGMI2b"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c nRhiJb-BFbNVe-r8s4j-bMElCd dIsJJe" track-name="databases"track-type="tag">Databases</div><div class="nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-R6PoUb"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-EehZO nRhiJb-fmcmS-oXtfBe"><h1 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><span class="FewWi"></span>How AlloyDB unifies OLTP and OLAP workloads for Tricent</div></h1></div></div><div class="nRhiJb-fmcmS-oXtfBe dEogG">November 2, 2024</div></div></section><div class="EKklye"><div class="nRhiJb-DARUcf ZWw7T"><div class="npzWPc"><div class="dzoHJ"><div class="nRhiJb-DX2B6 nRhiJb-DX2B6-OWXEXe-h30Snd"><div class="nRhiJb-j5y3u"><ul class="nRhiJb-Qijihe phRaUe" role="list"><li class="hpHPGf"><a class="nRhiJb-ARYxNe" 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Tricent%0A%0ATricent says AlloyDB shines at OLTP, processing millions of real-time updates, while the columnar engine speeds up complex analytical OLAP queries.%0A%0Acloud.google.com/blog/products/databases/tricent-standardizes-on-alloydb-for-olap-and-oltp-workloads"track-metadata-module="social icons" target="_blank" rel="noopener"><svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-DX2B6 nRhiJb-Bz112c-OWXEXe-nSuQf" viewBox="0 0 24 24" role="presentation" aria-hidden="true" role="presentation" aria-hidden="true"><path d="M20 4H4c-1.1 0-2 .9-2 2v12c0 1.1.9 2 2 2h16c1.1 0 2-.9 2-2V6c0-1.1-.9-2-2-2zm-.8 2L12 10.8 4.8 6h14.4zM4 18V7.87l8 5.33 8-5.33V18H4z"></path></svg></a></li></ul></div></div></div></div></div><div><section class="nRhiJb-DARUcf"><div class="nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><section class="DA9Qj nRhiJb-ObfsIf nRhiJb-fmcmS-oXtfBe"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-c5RTEf"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-qWD73c"><h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">Jakob Tolstrup Bech</h5><p class="nRhiJb-qJTHM khCp7b">Chief Product & Technology Officer, Tricent Security Group A/S</p></div></section></div></section><div class="nRhiJb-DARUcf"><div class="nRhiJb-ObfsIf nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-qWD73c-cGMI2b"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re dzoHJ"><div class="aLW4J" track-metadata-module="left rail"><h5 class="qZDXV Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-wNfPc">Google Cloud Summit Series</h5><p class="nRhiJb-cHYyed Mrfygc nRhiJb-BP2Omd-ma6Yeb-KE6vqe nRhiJb-DbgRPb-R6PoUb-cGMI2b">Discover the latest in AI, Security, Workspace, App Dev, & more.</p><a class="nRhiJb-LgbsSe nRhiJb-LgbsSe-OWXEXe-CNusmb-o6Shpd " href="https://cloudonair.withgoogle.com/summit_series_24?utm_source=cgc-blog&utm_medium=blog&utm_campaign=summit-series-2024&utm_content=summit-series-left-hand-rail-cta&utm_term=-" track-metadata-module="left rail"track-metadata-module_headline="google cloud summit series" track-name="register"track-type="button"track-metadata-position="cta"track-metadata-eventdetail="cloudonair.withgoogle.com/summit_series_24?utm_source=cgc-blog&utm_medium=blog&utm_campaign=summit-series-2024&utm_content=summit-series-left-hand-rail-cta&utm_term=-">Register </a></div></div><div class="OYL9D nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf" jsname="tx2NYc"><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><strong style="font-style:italic;vertical-align:baseline">Editor’s Note: </strong><a href="https://www.tricent.com/" rel="noopener" target="_blank"><span style="font-style:italic;text-decoration:underline;vertical-align:baseline">Tricent Security Group A/S</span></a><span style="font-style:italic;vertical-align:baseline">, a leader in file-sharing security, faced efficiency and performance challenges with their PostgreSQL database infrastructure. Their OLTP workloads needed to process millions of real-time updates efficiently, while their OLAP workloads needed faster query performance to handle complex analytics. Moving to </span><a href="https://cloud.google.com/alloydb?hl=en"><span style="font-style:italic;text-decoration:underline;vertical-align:baseline">AlloyDB for PostgreSQL</span></a><span style="font-style:italic;vertical-align:baseline"> helped transform Tricent’s database operations, resulting in faster query response times and the ability to handle up to 250 million daily transactions. With AlloyDB’s high availability and scalability, Tricent not only solved its performance issues, but also positioned itself for future growth.</span></p> <hr> <p><span style="vertical-align:baseline">At </span><a href="https://www.tricent.com/" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">Tricent Security Group A/S</span></a><span style="vertical-align:baseline">, we keep digital workspaces secure. As the CPTO, I lead our engineering, product, DevOps, and SecOps teams in the navigation of an evolving threat landscape. To that end, we've developed a suite of tools that help companies manage their shared files with comprehensive visibility, efficient bulk file management, and automated governance.</span></p> <p><span style="vertical-align:baseline">As cyber threats become more sophisticated, there’s a greater need for scalable security solutions like ours. In fact, our customer base has expanded significantly over the past few years, which means our database needs have grown. However, our previous PostgreSQL setup was managed on a regular VM, making it difficult to manage vacuuming processes that clean up old versions of updated or deleted records. On top of that, our previous setup’s excessively large data footprint used wide tables with many columns, significantly limiting performance.</span></p> <p><span style="vertical-align:baseline">We needed a database solution that could keep up with our ambitions — one capable of efficiently managing both our online transaction processing (OLTP) and online analytics processing (OLAP) workloads. Our OLTP challenges were rooted in needing to process millions of real-time updates, such as frequent changes to file-sharing permissions, without causing latency for customers. On the OLAP side, we needed fast performance for complex analytical queries, particularly for our 'Insights' product, which required deep analysis across large datasets. Our previous system's performance lagged under this dual workload, limiting our scalability and response times.</span></p></span></section><section class="k6ctOd"><aside class="IwVNTb"><div class="ecJG2e nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf nRhiJb-snVHke-ibL1re-X66g3b nRhiJb-snVHke-R6PoUb-UFsB2c"><h4 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">$300 in free credit to try Google Cloud databases</h4><p class="nRhiJb-qJTHM nRhiJb-DbgRPb-R6PoUb-ma6Yeb"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>Try fully managed database services with $300 in free credit for new customers. Plus, all customers get free monthly usage of 20+ products, including Cloud Firestore.</p></span></p><a class="nRhiJb-LgbsSe nRhiJb-LgbsSe-OWXEXe-MNynB-o6Shpd LZTd1c" href="http://console.cloud.google.com/freetrial?redirectPath=/products?#databases" target="_blank" rel="noopener" track-name="start building for free"track-type="button"track-metadata-position="body"track-metadata-eventdetail="http://console.cloud.google.com/freetrial?redirectPath=/products?#databases"track-metadata-module="aside"track-metadata-module_headline="$300 in free credit to try google cloud databases" track-name="start building for free"track-type="button"track-metadata-position="body"track-metadata-eventdetail="http://console.cloud.google.com/freetrial?redirectPath=/products?#databases">Start building for free </a></div></div></aside></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">AlloyDB syncs up with our database needs</strong></h3> <p><span style="vertical-align:baseline">When we started looking for a new database solution, </span><a href="https://cloud.google.com/alloydb"><span style="text-decoration:underline;vertical-align:baseline">AlloyDB for PostgreSQL</span></a><span style="vertical-align:baseline"> quickly rose to the top of our list. Its compatibility with our existing PostgreSQL setup meant we could migrate without</span><span style="vertical-align:baseline"> </span><span style="vertical-align:baseline">changing our database code at all — a significant advantage given our rapid development pace.</span></p> <p><span style="vertical-align:baseline">The migration process was notably smooth. AlloyDB provided an immediate performance boost, particularly for our resource-intensive OLAP workloads. With its columnar engine, SQL query processing for scans, joins, and aggregates became significantly faster, enabling us to handle demanding analytical queries. The columnar engine's ability to automatically reorganize data into a column-oriented format without manual intervention was especially valuable for us. This has reduced query execution times while simultaneously improving the efficiency of our insights and analytics tools.</span></p> <p><span style="vertical-align:baseline">AlloyDB's unique architecture separates compute and storage, giving us the flexibility to adapt quickly to changing demands. For instance, when we recently hit a performance bottleneck in our primary database instance, we were able to double our vCPU and RAM resources promptly. This gave us the breathing room we needed while we optimized our queries and code. Once we'd improved efficiency, we easily scaled back down. This kind of elasticity is invaluable when dealing with unpredictable workloads and rapid growth.</span></p> <p><span style="vertical-align:baseline">AlloyDB didn't just solve our immediate problems, but it also opened up new possibilities. With our database concerns significantly reduced, we could focus more on what we do best: innovating new security solutions for our customers.</span></p> <h3><strong style="vertical-align:baseline">File under “success”</strong></h3> <p><span style="vertical-align:baseline">The switch to AlloyDB has also been transformative for our operations. Handling both our OLTP and OLAP workloads, it sits at the core of our architecture. For OLTP, it efficiently processes millions of real-time updates from our customers' file-sharing activities, ensuring these are reflected without adding latency. On the OLAP side, the columnar engine boosts performance for our most complex analytical queries.</span></p> <p><span style="vertical-align:baseline">Meanwhile, AlloyDB’s scalability lets us optimize our costs without compromising on performance or reliability. Our system now processes approximately 250 million transactions per day without breaking a sweat. We see a month-over-month savings between 10% and 25% when factoring in the increased efficiency in our operations. The managed service model means less time worrying about infrastructure and more time focusing on innovation. In short, it's allowing us to push the boundaries of what we can offer, scale with confidence, and continuously improve our services. </span></p> <p><span style="vertical-align:baseline">AlloyDB will continue to play a pivotal role in our growth. Our vision involves deeper integration with Google Workspace and its comprehensive suite of APIs. We're also excited about the potential to use more of Google Cloud's AI and machine learning capabilities. With AlloyDB's tight integration into the Google Cloud ecosystem, we see opportunities to enhance our threat-detection capabilities and provide even more insightful analytics to our customers.</span></p> <p><span style="font-style:italic;vertical-align:baseline">Ready to get started with AlloyDB in your own environment? Check out the following resources:</span></p> <ul> <li style="list-style-type:disc;font-style:italic;vertical-align:baseline"> <p><span style="font-style:italic;vertical-align:baseline">Discover how</span><a href="https://inthecloud.withgoogle.com/alloydb-ebook-lp-email/dl-cd.html" rel="noopener" target="_blank"><span style="font-style:italic;text-decoration:underline;vertical-align:baseline"> AlloyDB combines the best of PostgreSQL with the power of Google Cloud</span></a><span style="font-style:italic;vertical-align:baseline"> in our latest e-book.</span></p> </li> <li style="list-style-type:disc;font-style:italic;vertical-align:baseline"> <p><a href="https://cloud.google.com/blog/products/databases/run-your-postgresql-database-in-an-alloydb-free-trial-cluster?e=13802955"><span style="font-style:italic;text-decoration:underline;vertical-align:baseline">Try AlloyDB at no cost for 30 days</span></a><span style="font-style:italic;vertical-align:baseline"> with AlloyDB free trial clusters!</span></p> </li> <li style="list-style-type:disc;font-style:italic;vertical-align:baseline"> <p><a href="https://cloud.google.com/alloydb/docs/overview" style="font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Oxygen,Ubuntu,Cantarell,'Open Sans','Helvetica Neue',sans-serif"><span style="font-style:italic;text-decoration:underline;vertical-align:baseline">Learn more about AlloyDB for PostgreSQL</span></a><strong style="font-style:italic;vertical-align:baseline">.</strong></p> </li> </ul></span></section><section class="kcBhad"><section class="Fabbec"><span class="WrMNjb">Posted in</span><ul class="FzXI4e"><li class="I4B51b"><a href="https://cloud.google.com/blog/products/databases" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/databases"track-metadata-module="tag list"track-metadata-module_headline="posted in">Databases</a></li><li class="I4B51b"><a href="https://cloud.google.com/blog/topics/customers" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/topics/customers"track-metadata-module="tag list"track-metadata-module_headline="posted in">Customers</a></li></ul></section></section></div></div></div></div></div><section class="nRhiJb-DARUcf " track-metadata-module="related articles" track-metadata-module_headline="related articles"><div class="nRhiJb-DbgRPb-c5RTEf-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><h5 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-wNfPc nRhiJb-DbgRPb-II5mzb-cGMI2b">Related articles</h5><section class="m9cUGf HGev3 nJD2Qe nRhiJb-ObfsIf"><div class=" QaGyvd nRhiJb-kR0ZEf-OWXEXe-GV1x9e-c5RTEf nRhiJb-kR0ZEf-OWXEXe-GV1x9e-qWD73c-V2iZpe"><div class="mA0uBe"><a href="https://cloud.google.com/blog/products/databases/new-proxy-adapter-eases-cassandra-to-spanner-migration" class="lD2oe" track-name="new cassandra to spanner adapter simplifies yahoo's migration 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OLAP queries.",[1730502000],"https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-2600x2600.jpg","https://cloud.google.com/blog/products/databases/tricent-standardizes-on-alloydb-for-olap-and-oltp-workloads",[1730502001,667351000]],[["Jakob Tolstrup Bech","Chief Product \u0026 Technology Officer, Tricent Security Group A/S"]],[null,"\u003cscript type\u003d\"application/ld+json\"\u003e{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"@id\":\"https://cloud.google.com/blog/products/databases/tricent-standardizes-on-alloydb-for-olap-and-oltp-workloads\",\"headline\":\"Tricent standardizes on AlloyDB for OLAP and OLTP workloads\",\"description\":\"Tricent says AlloyDB shines at OLTP, processing millions of real-time updates, while the columnar engine speeds up complex analytical OLAP queries.\",\"image\":\"https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-2600x2600.jpg\",\"author\":[{\"@type\":\"Person\",\"name\":\"Jakob Tolstrup Bech\",\"url\":\"\"}],\"datePublished\":\"2024-11-01\",\"publisher\":{\"@type\":\"Organization\",\"name\":\"Google Cloud\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https://www.gstatic.com/devrel-devsite/prod/v8bb8fa0afe9a8c3a776ebeb25d421bb443344d789b3607754dfabea418b8c4be/cloud/images/cloud-logo.svg\"}},\"url\":\"https://cloud.google.com/blog/products/databases/tricent-standardizes-on-alloydb-for-olap-and-oltp-workloads\",\"keywords\":[\"Databases\",\"Customers\"],\"timeRequired\":\"PT4M\"}\u003c/script\u003e"],["How AlloyDB unifies OLTP and OLAP workloads for Tricent"],null,null,[[null,null,[null,[null,"\u003cp\u003e\u003cstrong style\u003d\"font-style:italic;vertical-align:baseline\"\u003eEditor\u2019s Note: \u003c/strong\u003e\u003ca href\u003d\"https://www.tricent.com/\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"font-style:italic;text-decoration:underline;vertical-align:baseline\"\u003eTricent Security Group A/S\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"font-style:italic;vertical-align:baseline\"\u003e, a leader in file-sharing security, faced efficiency and performance challenges with their PostgreSQL database infrastructure. Their OLTP workloads needed to process millions of real-time updates efficiently, while their OLAP workloads needed faster query performance to handle complex analytics. Moving to \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/alloydb?hl\u003den\"\u003e\u003cspan style\u003d\"font-style:italic;text-decoration:underline;vertical-align:baseline\"\u003eAlloyDB for PostgreSQL\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"font-style:italic;vertical-align:baseline\"\u003e helped transform Tricent\u2019s database operations, resulting in faster query response times and the ability to handle up to 250 million daily transactions. With AlloyDB\u2019s high availability and scalability, Tricent not only solved its performance issues, but also positioned itself for future growth.\u003c/span\u003e\u003c/p\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eAt \u003c/span\u003e\u003ca href\u003d\"https://www.tricent.com/\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eTricent Security Group A/S\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e, we keep digital workspaces secure. As the CPTO, I lead our engineering, product, DevOps, and SecOps teams in the navigation of an evolving threat landscape. To that end, we've developed a suite of tools that help companies manage their shared files with comprehensive visibility, efficient bulk file management, and automated governance.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eAs cyber threats become more sophisticated, there\u2019s a greater need for scalable security solutions like ours. In fact, our customer base has expanded significantly over the past few years, which means our database needs have grown. However, our previous PostgreSQL setup was managed on a regular VM, making it difficult to manage vacuuming processes that clean up old versions of updated or deleted records. On top of that, our previous setup\u2019s excessively large data footprint used wide tables with many columns, significantly limiting performance.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eWe needed a database solution that could keep up with our ambitions \u2014 one capable of efficiently managing both our online transaction processing (OLTP) and online analytics processing (OLAP) workloads. Our OLTP challenges were rooted in needing to process millions of real-time updates, such as frequent changes to file-sharing permissions, without causing latency for customers. On the OLAP side, we needed fast performance for complex analytical queries, particularly for our 'Insights' product, which required deep analysis across large datasets. Our previous system's performance lagged under this dual workload, limiting our scalability and response times.\u003c/span\u003e\u003c/p\u003e"]]],[null,["$300 in free credit to try Google Cloud databases",null,"Start building for free","http://console.cloud.google.com/freetrial?redirectPath\u003d/products?#databases",[null,"\u003cp\u003eTry fully managed database services with $300 in free credit for new customers. Plus, all customers get free monthly usage of 20+ products, including Cloud Firestore.\u003c/p\u003e"]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eAlloyDB syncs up with our database needs\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eWhen we started looking for a new database solution, \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/alloydb\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eAlloyDB for PostgreSQL\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e quickly rose to the top of our list. Its compatibility with our existing PostgreSQL setup meant we could migrate without\u003c/span\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e \u003c/span\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003echanging our database code at all \u2014 a significant advantage given our rapid development pace.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThe migration process was notably smooth. AlloyDB provided an immediate performance boost, particularly for our resource-intensive OLAP workloads. With its columnar engine, SQL query processing for scans, joins, and aggregates became significantly faster, enabling us to handle demanding analytical queries. The columnar engine's ability to automatically reorganize data into a column-oriented format without manual intervention was especially valuable for us. This has reduced query execution times while simultaneously improving the efficiency of our insights and analytics tools.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eAlloyDB's unique architecture separates compute and storage, giving us the flexibility to adapt quickly to changing demands. For instance, when we recently hit a performance bottleneck in our primary database instance, we were able to double our vCPU and RAM resources promptly. This gave us the breathing room we needed while we optimized our queries and code. Once we'd improved efficiency, we easily scaled back down. This kind of elasticity is invaluable when dealing with unpredictable workloads and rapid growth.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eAlloyDB didn't just solve our immediate problems, but it also opened up new possibilities. With our database concerns significantly reduced, we could focus more on what we do best: innovating new security solutions for our customers.\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eFile under \u201csuccess\u201d\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThe switch to AlloyDB has also been transformative for our operations. Handling both our OLTP and OLAP workloads, it sits at the core of our architecture. For OLTP, it efficiently processes millions of real-time updates from our customers' file-sharing activities, ensuring these are reflected without adding latency. On the OLAP side, the columnar engine boosts performance for our most complex analytical queries.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eMeanwhile, AlloyDB\u2019s scalability lets us optimize our costs without compromising on performance or reliability. Our system now processes approximately 250 million transactions per day without breaking a sweat. We see a month-over-month savings between 10% and 25% when factoring in the increased efficiency in our operations. The managed service model means less time worrying about infrastructure and more time focusing on innovation. In short, it's allowing us to push the boundaries of what we can offer, scale with confidence, and continuously improve our services.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eAlloyDB will continue to play a pivotal role in our growth. Our vision involves deeper integration with Google Workspace and its comprehensive suite of APIs. We're also excited about the potential to use more of Google Cloud's AI and machine learning capabilities. With AlloyDB's tight integration into the Google Cloud ecosystem, we see opportunities to enhance our threat-detection capabilities and provide even more insightful analytics to our customers.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"font-style:italic;vertical-align:baseline\"\u003eReady to get started with AlloyDB in your own environment? Check out the following resources:\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli style\u003d\"list-style-type:disc;font-style:italic;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cspan style\u003d\"font-style:italic;vertical-align:baseline\"\u003eDiscover how\u003c/span\u003e\u003ca href\u003d\"https://inthecloud.withgoogle.com/alloydb-ebook-lp-email/dl-cd.html\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"font-style:italic;text-decoration:underline;vertical-align:baseline\"\u003e AlloyDB combines the best of PostgreSQL with the power of Google Cloud\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"font-style:italic;vertical-align:baseline\"\u003e in our latest e-book.\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;font-style:italic;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003ca href\u003d\"https://cloud.google.com/blog/products/databases/run-your-postgresql-database-in-an-alloydb-free-trial-cluster?e\u003d13802955\"\u003e\u003cspan style\u003d\"font-style:italic;text-decoration:underline;vertical-align:baseline\"\u003eTry AlloyDB at no cost for 30 days\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"font-style:italic;vertical-align:baseline\"\u003e with AlloyDB free trial clusters!\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;font-style:italic;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003ca href\u003d\"https://cloud.google.com/alloydb/docs/overview\" style\u003d\"font-family:-apple-system,BlinkMacSystemFont,\u0026#39;Segoe UI\u0026#39;,Roboto,Oxygen,Ubuntu,Cantarell,\u0026#39;Open Sans\u0026#39;,\u0026#39;Helvetica Neue\u0026#39;,sans-serif\"\u003e\u003cspan style\u003d\"font-style:italic;text-decoration:underline;vertical-align:baseline\"\u003eLearn more about AlloyDB for PostgreSQL\u003c/span\u003e\u003c/a\u003e\u003cstrong style\u003d\"font-style:italic;vertical-align:baseline\"\u003e.\u003c/strong\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e"]]]],[["Databases","New Cassandra to Spanner adapter simplifies Yahoo's migration journey","A new proxy adapter makes it easier to migrate NoSQL Cassandra workloads to Spanner without any changes to the application logic.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg"],null,7,null,"https://cloud.google.com/blog/products/databases/new-proxy-adapter-eases-cassandra-to-spanner-migration",null,1,[["Nitin Sagar","Sr. Product Manager, Google Cloud"],["Eike Falkenberg","Engineering Manager, Google"]],null,"55589"],["Databases","AlloyDB Omni supercharges performance: Faster transactions, analytics, and vector search","AlloyDB Omni 15.7.0 enhances PostgreSQL workflows with faster performance, an ultra-fast disk cache, SCaNN indexing in GA, and a Kubernetes operator.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg"],null,4,null,"https://cloud.google.com/blog/products/databases/whats-new-in-alloydb-omni-version-15-7-0",null,1,[["Bjoern Rost","Product Manager"],["Ravi Murthy","Engineering Director, AlloyDB"]],null,"55581"],["Databases","Google is a Leader in The Forrester Wave\u2122: Translytical Data Platforms, Q4 2024","Google is a Leader in The Q4 2024 Forrester Wave: Translytical Data Platforms report for AlloyDB\u2019s transactional, analytical, and AI workload support.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg"],null,4,null,"https://cloud.google.com/blog/products/databases/leader-in-the-forrester-wave-translytical-data-platforms-q4-2024",null,1,[["Gurmeet (GG) Goindi","Director Product Management, Databases"],["Aalok Muley","Group Product Manager, Databases"]],null,"55542"],["Databases","Google Cloud database news roundup, October 2024 edition","A roundup of the new products, features, and customer wins across the Google Cloud database portfolio in October 2024.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/10_-_Databases.max-700x700.jpg"],null,8,null,"https://cloud.google.com/blog/products/databases/google-cloud-database-news-for-october-2024",null,1,[["Joey Hernandez","Product Marketing, Google Cloud Databases"],["Kiran Shenoy","Sr. Product Manager, Google Cloud Databases"]],null,"55504"]],null,"Databases",["Google Cloud Summit Series","Discover the latest in AI, Security, Workspace, App Dev, \u0026 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