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    October delivered both momentum and milestones. StarRocks 4.0 is live, Summit replays are up on YouTube, and the ecosystem is buzzing. This post rounds up the highlights—what shipped, what to watch, and where to meet us next.


    All About StarRocks 4.0

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    StarRocks 4.0 is a milestone release—a major step forward for real-time and lakehouse analytics. It delivers up to 60% faster performance year-over-year, with native Iceberg and JSON support, improved cost efficiency, and stronger governance—all designed to simplify data pipelines and help teams get more value from their data.


    Kick Things Off With These

    Dig Deeper Into 4.0

     

    StarRocks Summit 2025 — Now On-Demand

    25+ engineer-led sessions are now available online — featuring teams from Coinbase, Intuit, Pinterest, Demandbase, TRM Labs, and more — sharing real architectures, hard-earned lessons, and what worked in production across real-time analytics, the lakehouse, and AI.

    Highlights to Queue Up

    StarRocks Summit 2025 Customer Keynote: OLAP at Intuit with StarRocks

    How does Intuit keep analytics fast and fresh at scale? In this keynote, Gaurav Doon and Daniel Russotto walk through their StarRocks adoption, the architecture serving customer experiences, and what they’ve learned about performance, scalability, and reliability. They also show how simplifying infra translates into faster insights.

    Analytical Data Storage at Pinterest

    Pinterest’s Kapil Bajaj traces the evolution of their analytical storage—and why they landed on StarRocks. In public talks, Pinterest reports ~50% lower p90 latency while using ~32% of the prior infra, ~1,200 QPS, and ~10s freshness after adopting StarRocks. Watch the recording to see the architecture and rollout path. 

    StarRocks at Coinbase: Best Practices

    Inside Coinbase’s analytics stack: pragmatic data modeling for crypto transaction and graph retrieval workloads, plus a high-throughput Kafka pipeline at ~30K rec/s (~45 MiB/s). Freshness lands in a few seconds, and Unity Catalog + StarRocks enable joining hot and cold data without copies. Watch the recording for their patterns and pitfalls.

     

    Demandbase: Ditching Denormalization with StarRocks

    If you’ve assumed “normalized = slow,” this talk flips the script. Nicholas Reich shows how Demandbase uses StarRocks to run sub-second analytics across multi-table joins, outlines a practical path off denormalized schemas, and highlights the operational wins from removing duplicate data. The recording has the step-by-step.

     

    CelerData Cloud tutorials (BYOC)

    Curious about CelerData Cloud (BYOC)? Check out Ron Kapoor’s two short walkthroughs — you’ll be up and running in minutes.

    Ready to give it a spin? Start your free 30-day trial.

     

    Partnerships & Ecosystem

    CelerData × HPE: We’ve partnered with Hewlett Packard Enterprise to bring high-performance analytics to the modern data lakehouse—combining HPE Alletra Storage MP X10000 and HPE ProLiant + Morpheus Enterprise with CelerData Enterprise (powered by StarRocks) for real-time, unified insights across massive datasets. 👉 Read the full guide

    StarRocks × Apache Polaris: We’re excited to join the growing Apache Polaris ecosystem. The new integration brings high-performance SQL analytics to the open data lakehouse—pairing unified governance with blazing-fast queries. 👉 Learn more

     

    Community Shout-Outs

    Customer story: Byung Ju Kim of CloudShift shares how HAEZOOM 해줌 moved past Apache Druid’s limits with StarRocks, powering Korea’s renewable energy shift across 6,000+ power stations and 2.3M users. 👉 Read the story

    Conference talk: At Apache Iceberg Europe (London), Anton Borisov breaks down how StarRocks hits sub-second performance on Iceberg—through metadata caching, federated catalogs, materialized views, and advanced equality delete handling. 👉 Watch the recording

    Webinars


    What’s New in StarRocks 4.0

    Get a clear look at what’s new and improved in StarRocks 4.0 — from 60% faster query performance and seamless Iceberg integration to smarter governance and lower real-time costs — and see where we’re headed next on the StarRocks roadmap. Watch Thanks for being part of the community—whether you’re testing 4.0, catching Summit sessions, or meeting us on the road. See you online (and hopefully in person) soon! 👉 The Recording

    Locking Down the Lakehouse: Securing Apache Iceberg’s REST Catalog at Scale

    Explore how to secure your Apache Iceberg REST Catalog as adoption grows—covering OAuth2 token exchange, StarRocks 4.0 catalog-level access control, and JWT-based authentication. 👉 Watch The Recording

     

    Events

    We’ve been actively co-hosting Iceberg meetups, with two recent sessions in San Francisco and at Google Seattle. Across APAC, the team hosted the StarRocks × Kepro Meetup in Hong Kong and joined Big Data & AI World and #Token2049 in Singapore to connect with the broader data and AI community.

    Coming Up (November)

    More Iceberg meetups, developer conferences, and StarRocks community sessions are on the way :

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