Starburst, the data platform for apps and AI, today announced a comprehensive set of product innovations across its flagship offerings: Starburst Enterprise Platform and Starburst Galaxy. The new Starburst AI Agent and new AI Workflows are designed to accelerate enterprise AI initiatives and support the transition to a future-ready data architecture built on a data lakehouse. By bringing distributed, hybrid data lakeside to power AI, apps and analytics, Starburst enables faster, more secure, and collaborative data access. With native AI tooling, the Starburst Data Catalog, and advancements to data ingestion, table maintenance and governance, enterprises can unlock the full power of the modern data lakehouse.
At the heart of Starburst’s latest innovations is Starburst AI Workflows, a purpose-built suite of capabilities that speeds AI experimentation to production for enterprises. AI Workflows connect the dots between vector-native search, metadata-driven context, and robust governance, all on an open data lakehouse architecture.
Starburst is also launching Starburst AI Agent, an out-of-the-box natural language interface for Starburst’s data platform that can be built and deployed by data analysts and application-layer AI agents to bring faster insights to business stakeholders. With AI Workflows and the Starburst AI Agent, enterprises can build and scale AI applications faster, with reliable performance, lower cost, and greater confidence in security, compliance and control.
“AI is raising the bar for enterprise data platforms, but most architectures aren’t ready,” said Justin Borgman, CEO and Co-Founder of Starburst. “At the end of the day, your AI is only as powerful as the data it can access. Starburst is removing the friction between data and AI by bringing distributed, hybrid data lakeside, enabling enterprise data teams to rapidly build AI, apps, agents, and analytics on a single, governed foundation.”
“We’re turning the data lakehouse into an enterprise-grade platform for AI agents and applications – designed from the ground up to support air-gapped environments without compromising on flexibility. Whether deployed in a secure on-premise environment or cloud-enabled ecosystem, Starburst delivers federated, governed access, real-time context, and high performance query processing.” said Matt Fuller, VP of AI/ML Products, Starburst. “We’re not just accelerating AI innovation; we’re operationalizing it, securely and at scale.”
“Starburst uniquely helps enterprises speed up AI adoption, reduce costs, and realize value faster by enabling access to all their data, no matter where it lives, across clouds, on-premises, or hybrid environments. The best part? Because data has gravity, they don’t need to move or migrate it to build, train, or tune their AI models,” said Rob Strechay, Managing Director & Principal Analyst, theCUBE Research.
George Karapalidis, Director of Data, Checkatrade, said, “User Role-Based Routing in Galaxy made it simple to direct queries to the right cluster based on team roles. It’s intuitive, seamlessly integrated into the Galaxy UX, and helps us optimize for both performance and cost without adding operational overhead.”
According to Ricardo Cardante, Staff Engineer, TalkDesk, “Before Starburst, maintaining our Iceberg tables was a manual, error-prone process that only covered a fraction of our data. With Automated Table Maintenance, we applied compaction and cleanup across the board, going from 16% table maintenance coverage to 100%. This enhancement led to a 66% reduction in S3 storage costs for our data platform buckets and contributed to an overall 20% decrease in S3 storage expenses across the company. It’s a game changer for scaling Iceberg performance with minimal overhead.”
