Quartic DataOps | Quartic.ai

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Brochure</a> </div> </div> </div> </section> <section class="DataOps-001sec darkGrayBg section comnVerticalPadding"> <div class="container"> <div class="DataOps-001sec-content mxWidth-1200 mx-auto " data-aos="fade-up"> <h2 class="section-heading-1">The Challenge of Industrial Data Management</h2> <div class="comn-listStyle-holder"> <ul> <li> <p><span>Data Engineering Complexity: </span>Significant effort is needed to prepare industrial data for processing.</p> </li> <li> <p><span>IT-OT Divide: </span>Enterprise tech stacks don’t align with OT protocols like OPC UA and MQTT.</p> </li> <li> <p><span>Real-time Integration: </span>Integrating asynchronous data in real-time is highly complex.</p> </li> <li> <p><span>Incomplete Solutions:</span> Existing solutions require custom coding, hindering scalability.</p> </li> <ul> </div> </div> </div> </section> <section class="DataOps-002sec section comnVerticalPadding blackBg"> <div class="container"> <div class="DataOps-002sec-content text-center mxWidth-1200 mx-auto" data-aos="fade-up"> <h2 class="section-heading-1">Quartic DataOps: Redefining Industrial DataOps</h2> <div class="dscText"> <p> Quartic’s DataOps bridges the gap between IT and OT, creating an analytics-ready, event-driven data pipeline with standardized models for equipment, product, and process. This enables seamless data consumption at both the edge and the cloud, integrating IT technologies on the shop floor and delivering operational insights to enterprise teams. </p> </div> </div> </div> </section> <section class="DataOps-003sec section comnVerticalPadding darkGrayBg"> <div class="container"> <div class="DataOps-003sec-content mxWidth-1200 mx-auto" > <div class="row gy-4 gx-4 gx-xl-5"> <div class="col-md-7" data-aos="fade-up-right"> <div class="img-holder"> <img src="https://www.quartic.ai/wp-content/uploads/Data-Processing-with-Context-in-Motion.png" alt="" width="920" height="600"> </div> </div> <div class="col-md-5 text-center text-md-start" data-aos="fade-up"> <div class="content-block "> <h2 class="section-heading-2">Data Processing with Context-in-Motion</h2> <div class="dscText"> <p>Quartic DataOps simplifies data integration and processing by combining MQTT’s simplicity at the edge and the distributed storage and processing of Kafka, with a purpose-built context engine. This results in a high-throughput, low-latency streaming data pipeline ready for real-time analytics. </p> </div> </div> </div> </div> </div> </div> </section> <section class="DataOps-004sec section comnVerticalPadding blackBg"> <div class="container"> <div class="DataOps-004sec-content mxWidth-1200 mx-auto"> <h2 class="section-heading-2 mb_35">Why Choose Quartic DataOps?</h2> <div class="row gy-5 gx-4 gx-xl-5"> <div class="col-md-4"> <div class="iconInfoBox-block text-md-start d-flex flex-column justify-content-between"> <div class="icon-img" data-aos="zoom-in-up"> <img src="https://www.quartic.ai/wp-content/uploads/DataOps-004sec-icon1-1-1.svg" alt="" /></div> <div class="dsc-holder mt-auto d-flex flex-column" data-aos="fade-up"> <h3 class="headingText">Accelerate IT-OT Collaboration </h3> <p class="smInfoText mt-auto">Leverage ISA95/88 or custom industrial schemas to crowd-source context. </p> </div> </div> </div>  <div class="col-md-4"> <div class="iconInfoBox-block text-md-start d-flex flex-column justify-content-between"> <div class="icon-img" data-aos="zoom-in-up"> <img src="https://www.quartic.ai/wp-content/uploads/DataOps-004sec-icon2-1-1.svg" alt="" /></div> <div class="dsc-holder mt-auto d-flex flex-column" data-aos="fade-up"> <h3 class="headingText">Democratize Useful Data </h3> <p class="smInfoText mt-auto">Share processed data through Kafka or GraphQL for broad application support. </p> </div> </div> </div>  <div class="col-md-4"> <div class="iconInfoBox-block text-md-start d-flex flex-column justify-content-between"> <div class="icon-img" data-aos="zoom-in-up"> <img src="https://www.quartic.ai/wp-content/uploads/DataOps-004sec-icon3-1-1.svg" alt="" /></div> <div class="dsc-holder mt-auto d-flex flex-column" data-aos="fade-up"> <h3 class="headingText">Scale to Enterprise </h3> <p class="smInfoText mt-auto">Use existing enterprise infrastructure to build scalable industrial applications. </p> </div> </div> </div>  </div> </div> </div> </section> <section class="DataOps-003sec DataOps-005sec section comnVerticalPadding darkGrayBg"> <div class="container"> <div class="DataOps-003sec-content mxWidth-1200 mx-auto"> <div class="row gy-4 gx-4 gx-xl-5"> <div class="col-md-7" data-aos="fade-up-right"> <div class="img-holder"> <img src="https://www.quartic.ai/wp-content/uploads/Industrializing-Kafkas-Data-in-Motion-with-Quartics-Context-in-Motion.png" alt="" width="900" height="720"> </div> </div> <div class="col-md-5 text-center text-md-start" data-aos="fade-up"> <div class="content-block"> <h2 class="section-heading-2">Industrializing Kafka's Data-in-Motion with Quartic's Context-in-Motion</h2> <div class="dscText"> <p>By leveraging Kafka for large-scale data operations, Quartic DataOps ensures data consistency, scalability, and fault tolerance. It seamlessly integrates time-series OT and MES data with transactional business systems data, creating enterprise-grade system-oriented data streams. </p> </div> </div> </div> </div> </div> </div> </section> <section class="DataOps-003sec DataOps-006sec section comnVerticalPadding blackBg"> <div class="container"> <div class="DataOps-003sec-content mxWidth-1200 mx-auto"> <div class="row gy-4 gx-4 gx-xl-5"> <div class="col-md-7" data-aos="fade-up-right"> <div class="img-holder"> <img src="https://www.quartic.ai/wp-content/uploads/Unified-Data-with-Kafka-MQTT-Streaming.png" alt="" width="842" height="493"> </div> </div> <div class="col-md-5 text-center text-md-start" data-aos="fade-up"> <div class="content-block"> <h2 class="section-heading-2">Unified data with Kafka and MQTT streaming </h2> <div class="dscText"> <p>Quartic DataOps publish-subscribe architecture combines MQTT’s lightweight device connectivity and the event-driven processing power of Kafka, creating a unified namespace for seamless data integration across industrial applications. It also integrates legacy OPC-UA with Kafka and supports CDC for business systems, unifying manufacturing and enterprise data with a common context. </p> </div> </div> </div> </div> </div> </div> </section> <section class="DataOps-001sec DataOps-007sec darkGrayBg section comnVerticalPadding"> <div class="container"> <div class="DataOps-001sec-content mxWidth-1200 mx-auto" data-aos="fade-up"> <h2 class="section-heading-2">Quartic DataOps Outperforms Traditional Systems</h2> <div class="comnDesText"><p>Unlike traditional IoT, Data Hub, and ETL systems that require custom coding, Quartic DataOps offers-</p></div> <div class="comn-listStyle-holder"> <ul> <li> <p><span>No-Code, Bi-Directional OT Connectivity:</span> OPC-UA, MQTT Sparkplug B, Aveva PI historian, DeltaV Batch, Wonderware Batch, and SQL.</p> </li> <li> <p><span>Cloud data Connectivity:</span> S3, Redshift, Snowflake, and Google BigQuery. </p> </li> <li> <p><span>Flexible Data Modeling:</span> ISA95, ISA88, and user-defined schemas. </p> </li> <li> <p><span>Event-Driven Data Processing:</span> Powered by Kafka and Spark.</p> </li> <li> <p><span>Scalable and Fault-Tolerant:</span> Designed for scale and high availability.</p> </li> <ul> </div> </div> </div> </section> <section class="DataOps-002sec DataOps-008sec section comnVerticalPadding blackBg"> <div class="container"> <div class="DataOps-002sec-content text-center mxWidth-1200 mx-auto" data-aos="fade-up"> <h2 class="section-heading-1">Pioneering Industrial Data Management</h2> <div class="dscText"> <p>Quartic DataOps enables a decentralized, domain-oriented data architecture, aligning with data mesh principles. It empowers teams to treat data as a product, creating self-service pipelines that keep your organization ahead of industry trends. </p> </div> </div> </div> </section> <section class="DataOps-009sec darkGrayBg section comnVerticalPadding"> <div class="container"> <div class="DataOps-009sec-content mxWidth-1200 mx-auto" data-aos="fade-up"> <h2 class="section-heading-2 mb-5">Explore more</h2> <div class="row gy-5"> <div class="col-md-6"> <div class="comn-listStyle-holder h-100 d-flex flex-column text-start"> <h3 class="blockHeadingText">Video</h3> <ul> <li> <p> <a href="https://www.youtube.com/watch?v=8H_0_PbO6U8" target="_blank" title="https://www.youtube.com/watch?v=8H_0_PbO6U8" > Quartic for DataOps </a> </p> </li> <li> <p> <a href="https://www.youtube.com/watch?v=A_wc7e_TSyg&t=33s" target="_blank" title="https://www.youtube.com/watch?v=A_wc7e_TSyg&t=33s" > The Modern Operations Data Platform </a> </p> </li> <li> <p> <a href="https://www.youtube.com/watch?v=-OWjAf8ma18" target="_blank" title="https://www.youtube.com/watch?v=-OWjAf8ma18" > Batch Manufacturing Data Accessibility for Analytics </a> </p> </li> </ul> <div class="button-holder mt-auto text-left"> <a class="btn q-btn mt-5" href="https://www.youtube.com/@quarticai7719" target="_blank">View More</a> </div> </div> </div> <div class="col-md-6"> <div class="comn-listStyle-holder h-100 d-flex flex-column text-left"> <h3 class="blockHeadingText">Blog</h3> <ul> <li> <p><a href="https://www.quartic.ai/blog/the-current-challenges-of-life-science-manufacturing/">The Current Challenges of Life Science Manufacturing Require the Adoption of Modern Solutions</a></p> </li> <li> <p><a href="https://www.quartic.ai/blog/the-nature-of-industrial-data/">The Nature of Industrial Data</a></p> </li> </ul> <div class="button-holder mt-auto text-left"> <a class="btn q-btn mt-5" target="" href="https://www.quartic.ai/blog/" role="button">Read More</a> </div> </div> </div> </div> </div> </div> </section> <section class="DataOps-010sec section comnVerticalPadding"> <div class="container"> <div class="DataOps-010sec-content mx-auto mxWidth-1200" data-aos="fade-up"> <h2 class="section-heading">Ready to Transform Your Industrial Data Management?</h2> <div class="desText mt-5"> <p>Join industry leaders who have successfully implemented Quartic DataOps. 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