CelerData

Join us next Thursday, Dec 11, to hear from Kiran K. (Head of Cloud Product) and Sida Shen (PM) on the latest CelerData Cloud BYOC release and how it’s shaping the StarRocks operational experience. The update introduces key enhancements across elasticity, automation, and simplicity — from improved Group Autoscaling and failover controls to richer observability and upgraded security. What we’ll cover: ✅ How CelerData Cloud reduces operational overhead and improves reliability ✅ New capabilities: auto-scaling, failover groups, observability enhancements, and resource isolation ✅ A live walk-through of the latest Cloud Console features Join us for an inside look at what’s new—and what’s next—for CelerData Cloud BYOC! #DataAnalytics  #DataEngineering

🤔 How do you power dashboards that join 100+ tables and scan 20 billion rows—yet still respond in under two seconds? That was the challenge facing Celonis, the global leader in process mining. They needed a query engine that could handle extreme join complexity, real-time updates, and the scale of process mining analytics. The answer: StarRocks. Dive into the full story of how Celonis re-engineered its analytics architecture for sub-second insights and real-time process visibility 👉 https://lnkd.in/gDXb3dSJ #DataAnalytics  #DataEngineering  #RealTimeAnalytics

🦃🍁 Feeling extra thankful this November — and not just for pumpkin pie. We just shipped our latest newsletter, and it’s packed with real production wins from teams across industries using StarRocks and CelerData to solve some of their toughest data and analytics challenges. Get a taste of what we’ve been cooking up in November and see if these stories spark ideas for your own data stack. 💙 Wishing everyone a very happy Thanksgiving (for those who celebrate) and a restful holiday season from all of us at CelerData! #DataAnalytics  #DataEngineering  #DataLakeAnalytics  #DataLake  #DataLakeHouse #RealTimeAnalytics

🎥 Watch on-demand: https://lnkd.in/g-We4_sU - Missed our “Building an Open, Governed Lakehouse with Apache Polaris” webinar — or want to give it another watch? The full recording is now available. Huge thanks to Yufei Gu (Snowflake) - Apache Polaris (Incubating) PPMC, Iceberg PMC, and Hadoop PMC for joining us! Yufei dives deep into the governance pain points of traditional Iceberg catalogs and shares an inside look at how Apache Polaris centralizes and standardizes Lakehouse governance. 👉 Watch the recording to catch all the insights: https://lnkd.in/g-We4_sU #DataAnalytics  #DataEngineering  #DataLakeAnalytics  #DataLake  #DataLakeHouse

Going LIVE in just 90 minutes! Still time to join — register here https://hubs.la/Q03VMmW90 In the session with Yufei Gu, we’ll walk through: 📌The governance and security gaps in traditional Iceberg catalogs 📌How Apache Polaris creates a unified, open governance standard 📌How Polaris expands on the Iceberg REST Catalog 📌Features like reliable commits, conflict resolution, and easy integrations with Spark, Trino, Flink, and more 📌How centralized security simplifies operations 📌How the community is working together toward an interoperable Lakehouse We’ll wrap with a Q&A with Yufei and Ron so you can dig deeper into Polaris and the broader ecosystem. If you can’t join live, feel free to register — we’ll send the recording afterward. #DataAnalytics #DataLakeAnalytics #DataLakeHouse #DataEngineering #DataLake

Tomorrow, Nov 25, we’re going live with Yufei Gu (Snowflake — Apache Polaris (Incubating) PPMC member — and we’d love for you to join us!   In the session, we’ll walk through: 📌 The governance and security gaps in traditional Iceberg catalogs 📌 How Apache Polaris creates a unified, open governance standard 📌 How Polaris expands on the Iceberg REST Catalog 📌 Features like reliable commits, conflict resolution, and easy integrations with Spark, Trino, Flink, and more 📌 How centralized security simplifies operations 📌 How the community is working together toward an interoperable Lakehouse   We’ll wrap with a Q&A with Yufei and Ron Kapoor so you can dig deeper into Polaris and the broader ecosystem.   If you can’t join live, feel free to register — we’ll send the recording afterward. https://lnkd.in/gw8hc3HJ #DataAnalytics #DataEngineering  #DataLakeAnalytics #DataLake   #DataLakeHouse

With millions of global users relying on Webex every day, Cisco needed faster, more reliable real-time analytics than its fragmented Pinot + Trino stack could deliver. To break through the limits of joins, stability, and operational complexity, Cisco turned to StarRocks. By unifying everything on StarRocks, the Webex team achieved: ✅ 50% lower query latency ✅ 70% of queries faster than Trino ✅ 10× boost on common workloads with materialized views ✅ Unified SQL + simplified operations across all analytics teams Read the full story here 👉 https://hubs.la/Q03VldYc0 #RealTimeAnalytics #DataEngineering #OLAP #DataAnalytics

Such a great crowd at the Apache Polaris (Incubating) Meetup at the Snowflake office! Alvin Zhao — StarRocks TSC Chair and CelerData’s Co-Founder/CTO — shared his insights and expertise on how to build an open lakehouse with StarRocks + Apache Polaris. Missed it? Come join us online next Tuesday — Yufei Gu ( will be walking through how Polaris is changing governance for Iceberg-based lakehouses: https://lnkd.in/gw8hc3HJ #DataAnalytics #DataEngineering  #DataLakeAnalytics #DataLake   #DataLakeHouse

Next Tuesday, we’re hosting a live webinar with Yufei Gu, an Apache Polaris (Incubating) PPMC member who works at Snowflake — diving into how Polaris is reshaping governance for Iceberg-based lakehouses. Here’s what we’ll cover: 📌 Why traditional Iceberg catalogs struggle with fragmented governance, inconsistent security, and messy table addressing 📌 How Apache Polaris (Incubating) provides a unified, open standard for Lakehouse governance 📌 How Polaris builds on the Iceberg REST Catalog specification 📌 Key capabilities, including: — Reliable commits and conflict-resolution — Simplified client integration across Spark, Trino, Flink, and more — Centralized security and access control for Iceberg tables 📌 How Polaris reduces operational overhead and brings consistent governance across systems 📌 How the community is collaborating to reduce data fragmentation and build an interoperable, governed Lakehouse And after the talk, stick around for a live Q&A with Yufei and Ron to go deeper into Polaris and the Lakehouse ecosystem. Can’t make it? Register anyway and we’ll send you the recording. #DataAnalytics #DataEngineering  #DataLakeAnalytics #DataLake