End-to-end analytics platform with industry-leading price-performance for both cloud and on-premises workloads, built on OS @trinodb

Boston, MA
Starburst now runs SQL analytics on @Nvidia GPUs (via cuDF) — 3-4x faster than CPU, up to 7x on complex queries. It started with a Vera CPU benchmark that beat Intel and landed in Jensen's keynote. Now banks' idle GPU capacity now powers faster analytics.
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RSVP to join us at Starburst HQ during Boston AI Week for great food, drinks, and AI discussions. We’ll have a talk on the bad & the ugly of shipping AI agents in production. 📅 Tue, Sep 29 | 6–9 PM ET RSVP here: okt.to/d74Phm  #BostonAIWeek2026
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Data has gravity. The bigger it gets, the harder it is to move, so apps and tools end up orbiting it instead. Stop fighting that pull. Design for a permanently distributed data estate. Read more: okt.to/Xs4dSq #DataGravity #DataArchitecture #DataFederation
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From Sept 24–Oct 2, we're joining Boston's AI community for a week of conversation on where enterprise AI is headed. From data integrity to agents built on real enterprise data.  See the full Boston AI Week schedule: okt.to/4FaMye  #BostonAIWeek2026
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This blog explores the context layer, the tier between enterprise data and the people/agents using it. Read the full article: okt.to/HxCdt0 #EnterpriseAI #ContextLayer #AgenticAI #DataProducts #DataFederation
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Our latest blog explores business context, the rules, definitions, & institutional knowledge that turn technically correct queries into answers that are actually good for your business: okt.to/Heq2w6 #EnterpriseAI #BusinessContext #ContextEngineering #AgenticAI
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Enterprise AI has a data access problem. AI is only as smart as the data it can reach. Our latest post lays out a practical way to start breaking that bottleneck. Read the full article: okt.to/Z1wKb8 #EnterpriseAI #DataAccess #DataFederation #AgenticAI
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Centralizing your data doesn't mean it works together. Two tables in the same warehouse can still disagree on what "revenue" means or which system owns the truth. This article looks at fixing that with federation: okt.to/7X8M9R #DataFederation #DataArchitecture
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Your Snowflake data can be tidy and still leave AI agents guessing. The missing piece is context. Our new post explores how a governed context layer + Starburst's federation give agents that context: okt.to/BsAqQm #Snowflake #ContextEngineering #EnterpriseAI
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Sept 16: Starburst's Pachu Shrinivas breaks down modern data architecture: → How the layers work together for analytics & AI → Where federation fits (and when it doesn't) → How to audit your stack: keep, connect, or consolidate Register here: okt.to/mX0j51
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Apache Iceberg is the foundation of modern data lakehouses, but keeping tables healthy is a separate engineering challenge. This post examines how Icehouse LakeOps handles the maintenance required to address common challenges. Read more: okt.to/EBi7OW #ApacheIceberg
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Join @Ahmed Niyaz and @Lucas Lemos tomorrow for a walk through on how LakeOps takes Iceberg Ops off your team's plate. Register here: okt.to/fPBZwn #ApacheIceberg #Icehouse #EnterpriseAI
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Starburst has a new brand ambassador: Lando Norris! The best decisions, on track or in business, come down to the same thing. Asking the right question, trusting the answer, and acting before the moment passes. Ask. Know. Go. Full announcement here: okt.to/59Bfm3
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Something's been happening behind the scenes at Starburst. Speed means nothing without trust in the right data at the right moment. More soon. 🏁
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Data governance has never been more important. But in the age of AI, it's no longer enough. The article examines questions every enterprise is beginning to face. Read more: okt.to/oKw1YW #EnterpriseAI #DataGovernance
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AI stalls when context is fragmented, definitions are scattered, & you can't trust the data behind an answer. Join tomorrow's webinar to learn how to build governed, trusted data products. Register: okt.to/51aDfq #EnterpriseAI #DataProducts #AgenticAI
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Data governance keeps data accurate and secure. AI governance keeps model decisions explainable, auditable, and monitored. The gap matters most as AI moves into production. We break it down here: okt.to/APbFE4 #AIGovernance #DataGovernance
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