CelerData
@CelerData
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CelerData is the only SQL engine that is fast enough to run the most demanding workloads directly on your data lakehouse. All powered by @StarRocksLabs.
Joined August 2022
š Crypto data isnāt just ābigā ā itās open, noisy, and mission-critical for compliance. Coinbase rebuilt their analytics stack to trace money flows across 10+ blockchains, run joins on 573B+ rows, and keep fraud detection real-time. Full storyš https://t.co/3dcDmZlFLd
celerdata.com
Discover how Coinbase powers massive blockchain fraud detection and compliance with StarRocksā573B+ rows across 10 chains, real-time Kafka ingestion, and sub-second analytics at global scale.
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š”How do you keep queries fast when your Iceberg data is constantly changing? This blog from Fresha shows how StarRocks Incremental MV connects mutable Iceberg tables with real-time analytics while reducing refresh cost and latency. š Full article:
medium.com
StarRocks IVM: how TVR semantics, aggregate combinators and Iceberg snapshots enable row-incremental refresh instead of partition based.
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š„ Watch on-demand: https://t.co/6eDmZt2bh6 Missed our āCelerData Cloud BYOC: New Features, Smarter Scaling for Real-time Analyticsā webinar ā or want to give it another watch? The full recording is now available!
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90 minutes until we go LIVE! RSVP: https://t.co/L7PVYwwtht Weāre walking through the latest CelerData Cloud BYOC release: smarter autoscaling, stronger failover, better observability & security for StarRocks in production. Join us for a live tour of whatās new + whatās next.
celerdata.wistia.com
The latest CelerData Cloud BYOC release delivers major improvements in elasticity, automation, and operational simplicity ā including enhanced Group Autoscaling, stronger failover controls, better...
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The last Fed meeting of 2025 is a stress test for any trading stack: can your risk, P&L and portfolio dashboards keep up, or are they still tied to batch ETL? Learn how to fix that gap with real-time analytics using StarRocks in our article + live demo
celerdata.com
Explore strategies for building a modern financial data warehouse for real time analytics and business intelligence for equities trading.
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š£ Meet the 2025 StarRocks Award Recipients! Weāre celebrating this yearās standout contributors who help accelerate our global community. š Full list: https://t.co/9aYlZlquTh Thank you to every engineer, builder, and community champion shaping the StarRocks ecosystem. šš¦¦
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Yuno, a fast-growing LatAm fintech, took customer-facing analytics from ~3s ā sub-second and ~1h latency ā ~5s, while supporting 100s of concurrent users in production ā after switching off Snowflake & Athena for CelerData (StarRocks). Story š https://t.co/6OR9q6j69E
celerdata.com
How Yuno cut analytics latency from seconds to sub-1s and achieved 5-second freshness by replacing Snowflake and Athena with CelerData for real-time customer dashboards.
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Whatās new in CelerData Cloud BYOC? Join us this Thu, Dec 11 to see the latest: elasticity upgrades, better autoscaling, stronger failover controls, and richer observability. See firsthand how the Cloud is streamlining the StarRocks journey š https://t.co/e6dXHJhcl3
celerdata.wistia.com
The latest CelerData Cloud BYOC release delivers major improvements in elasticity, automation, and operational simplicity ā including enhanced Group Autoscaling, stronger failover controls, better...
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š„± UA managers waiting 3ā10 min for data = stalled decisions. SplitMetrics (Apple Search Ads + analytics) rebuilt its backend: PostgreSQL ā StarRocks. ā” Results: sub-2s updates, predictable P99s, ~50% lower costs. What broke/changed/repeatš https://t.co/Xhr38f29cj
celerdata.com
SplitMetricsā journey from PostgreSQL to StarRocks: sub-2s real-time updates, faster predictable dashboards, 50% lower infra costsāarchitecture, results, takeaways.
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Your P99 is the real user experience. š One viral campaign. One hot tenant. One uneven partition. Suddenly, āsub-secondā dashboards feel like sludge. Thatās data skew Hereās why it matters + how to fix it:
celerdata.com
Learn what data skew is, why itās especially dangerous in multi-tenant customer-facing applications, and how to solve it with multi-level partitioning.
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ā”Every second counts for 100M+ customers. Intuit IPS delivers 100k+ events/sec with TP99 <500 ms and <4 s freshness. ML ~2 s e2e. Druid ā StarRocks = simpler ops, fast joins, native upserts, 98.33% faster aggs. Read more:
celerdata.com
How Intuitās IPS team replaced Druid with StarRocks to power real-time OLAP: sub-4s freshness, 100K+ events/sec, native upserts, fast joins, and simpler operations.
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Join us next Thu, Dec 11 for a look at whatās new in CelerData Cloud BYOCāelasticity upgrades, better autoscaling, stronger failover, richer observability, and more. Get an inside view of how Cloud is evolving the StarRocks operational experience š https://t.co/x25JsYlSbL
celerdata.wistia.com
The latest CelerData Cloud BYOC release delivers major improvements in elasticity, automation, and operational simplicity ā including enhanced Group Autoscaling, stronger failover controls, better...
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How do you power dashboards that join over 100 tables and scan 20B rowsāyet still respond in under two seconds? That was the challenge facing Celonis. See how they re-engineered their analytics architecture to achieve sub-second process mining performance. https://t.co/AzjLlXhQhP
celerdata.com
How Celonis achieved sub-2-second queries on 20B+ rows and 100-table joins with StarRocks ā redefining process mining performance at enterprise scale.
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š„āBuilding an Open, Governed Lakehouse with Apache Polarisā ā recording now available: https://t.co/z6rhMSQ1pT Huge thanks to @apachepolaris PPMC Yufei Gu for the clear deep dive into Icebergās governance gaps and how Polaris creates a unified path forward for the Lakehouse.
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š¦š Feeling extra thankful this November ā and not just for pumpkin pie! Our latest newsletter is out, packed with real production wins from teams across industries using StarRocks & CelerData to tackle some of their toughest data challenges. Dive in š https://t.co/4rW4IuzTES
linkedin.com
November feels like the perfect time to āharvestā what matters most: real outcomes from real customers. In this edition, weāre spotlighting how teams are breaking through slow dashboards, complex...
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Going LIVE in 90 minutes! Still time to join us š https://t.co/PLzvRB0Kg9 Yufei Gu will walk through how Apache Polaris brings unified governance to Iceberg lakehouses ā plus reliable commits, conflict resolution, easy client integrations, and more. Plus Q&A with Yufei + Ron!
celerdata.wistia.com
Traditional Iceberg catalogs often struggle with fragmented governance, inconsistent security, and poor table addressingāchallenges that make managing large-scale Lakehouse environments complex and...
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Awesome crowd at the @apachepolaris Meetup at Snowflake! Alvin Zhao ā StarRocks TSC Chair & CelerData CTO ā shared how to build an open lakehouse with StarRocks + Polaris. Missed it? Join us online next Tue for Yufei Gu on Polaris + Iceberg governance: https://t.co/1Aodemyz2p
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š Thank you, Seattle, for a fantastic Real-Time Data Lakes & AI Meetup. We appreciated everyone who came out, engaged in the discussions, and joined Kevin Chenās talk on Iceberg performance and engine-level optimizationļ¼ Already excited for the next meetup!
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š Raleigh, NC tomorrow! Ron Kapoor is speaking at the Apache Iceberg Meetup šļø https://t.co/SQvXO34hyo Heāll explore Iceberg security at scaleāOAuth2 token exchange, multi-tenant authorization, enterprise identity integration for compliant growth, and more. See you there!
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š Seattle tomorrow! Catch our Product Lead Kevin Chen at the Real-Time Data Lakes & AI Meetup šļø https://t.co/mzgJTKmzsX Heāll dig into making Iceberg fast: low latency, high concurrency, and engine techniques that actually move the needle. Plus talks from Altinity + AWS!
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