Join StarRocks Community on Slack
Connect on SlackNovember feels like the perfect time to “harvest” what matters most: real outcomes from real customers. In this edition, we’re spotlighting how teams are breaking through slow dashboards, complex pipelines, and runaway costs with StarRocks and CelerData. Whether you’re running customer-facing analytics, real-time risk engines, or an open lakehouse, we hope these in-production stories spark ideas for your own architecture and make your next performance win a little easier.
In Production: How Teams Win With StarRocks/CelerData
How Cisco Webex Unified Real-Time Analytics with StarRocks

How Intuit Achieved Sub-4-Second Real-Time Analytics at 100K+ Events Per Second

Explore why Intuit replaced Druid with StarRocks for real-time OLAP—now processing 100K events per second while keeping TP99 query latency under 500ms and improving aggregation speed by 98.33%.
How Coinbase Powers Blockchain Analytics at Scale with StarRocks
See how Coinbase analyzes 573 billion rows in 300+ tables across 10 blockchains with StarRocks—keeping up with 30K messages per second ingestion to power fast, accurate investigations into suspicious activity.
How Celonis Built a Process Mining Platform on StarRocks to Handle 20+ Billion Row Queries
Explore how Celonis delivers interactive process mining at enterprise scale with StarRocks—sub-2-second responsiveness on 20 billion row queries and analytics that routinely span 100+ table joins.
From Hours to Seconds: How Yuno Accelerated Customer-Facing Analytics By Switching Off Snowflake and Athena
Find out how Yuno moved beyond batch analytics with CelerData Cloud—delivering <1s latency, 5-second data freshness, and 100s of concurrency for real-time merchant dashboards and routing decisions.
How Demandbase Built a Scalable Data Lakehouse with StarRocks and Iceberg

Get an inside look at how Demandbase runs petabyte-scale data on an open, resilient StarRocks + Iceberg lakehouse—delivering blazing fast ingestion and always-on analytics for B2B go-to-market teams.
How Splitmetrics Replaced PostgreSQL with StarRocks for Customer-Facing Analytics

From multi-minute waits to instant insights—Splitmetrics’ move to StarRocks delivered a 20x P99 improvement, 50% cost reduction, and consistently sub-second dashboard performance.
VBill Payment: Handling Billions of Records in Real-Time with StarRocks
Follow VBill’s journey from fragile Lambda architecture to a unified StarRocks engine, reducing redundant storage by 20%, cutting failure recovery to under 5 minutes, and keeping P99 end-to-end ingestion latency below 1 second.
Webinars
Building an Open, Governed Lakehouse with Apache Polaris

We had the pleasure of hosting Yufei Gu (Snowflake) — Apache Polaris (Incubating) PPMC, Iceberg PMC, and Hadoop PMC — for an in-depth conversation on Apache Polaris and an inside look at how it unifies governance for Iceberg.

We hope you had a wonderful Thanksgiving weekend. As we head into the final stretch of the year, we’re feeling especially grateful for you — the users, customers, contributors, and community members who make StarRocks and CelerData what they are. Thank you for the feedback, the PRs, the questions, the meetups, the webinars, and for trusting us with your most important analytics workloads.
Wishing you a smooth, restful start to the holiday season from all of us at CelerData!
Prefer updates in your feed? Subscribe to our LinkedIn newsletter.
