At its annual AI & Datanova event, Starburst today announced the Starburst Enterprise Intelligence Platform, enabling enterprises to run AI directly on governed data across distributed environments. At the center of the platform is AIDA, now generally available, which brings AI-powered intelligence directly into the workflows, applications, and agents where business users work. Starburst also introduced new AI-Ready Data Products that provide consistent business context for queries, models, and AI agents, along with additional capabilities including Icehouse Ingest and Icehouse LakeOps for Apache Iceberg operations, and Bring Your Own Cloud (BYOC) deployments for customer-managed infrastructure.
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Starburst today announced the Starburst Enterprise Intelligence Platform, enabling enterprises to run AI directly on governed data across distributed environments. At the center of the platform is AIDA, now generally available, which brings AI-powered intelligence directly into the workflows, applications, and agents where business users work.
According to Mavvrik’s 2025 research, 84% of companies report AI costs are reducing gross margins by more than 6% — not because AI doesn’t work, but because the data beneath it doesn’t. Data remains fragmented across clouds, lakes, SaaS apps, and operational systems, forcing expensive data movement, creating governance blind spots, and eroding confidence in AI outputs. The result is slower, lower-confidence decisions, higher costs, and AI initiatives that stall before they scale.
Starburst’s answer is to bring AI to the data, not the other way around. The Starburst Enterprise Intelligence Platform gives enterprises a single platform to run AI directly on distributed data, in place, without moving or replatforming, while providing consistent business context to queries, models, and agents regardless of where data is stored or processed — across clouds, catalogs, and enterprise systems.
“At Vizient, we’re focused on improving how teams across the organization access, connect and use trusted data in a complex healthcare environment. As part of that effort, we’ve been building the foundations for a governed internal data marketplace and reusable data products that support cross-domain analytics and AI enablement. Our approach incorporates a range of technologies, including Starburst, to help teams work more effectively across distributed datasets while reducing unnecessary data duplication,” said Ram Radhakrishnan, Engineering Leader – Data & AI Platforms, Vizient.
“Enterprises are realizing that scaling AI depends less on the models and more on access to trusted, governed data across complex hybrid environments,” said Brad Shimmin, VP & Practice Lead, Data Intelligence, Analytics, and Infrastructure at The Futurum Group. “The industry is shifting toward architectures that reduce data movement while preserving governance and business context. Starburst’s latest announcement reflects that trend with a focus on distributed data access, embedded AI, and enterprise-scale analytics performance.”
Intelligence Where Work Happens: AIDA
Starburst’s AIDA is now generally available. Built for executives and business users who cannot afford to wait on dashboards or data teams, AIDA operates directly inside the workflows, applications, and agents where they work. Unlike AI tools that rely on centralized or duplicated data, AIDA works across distributed enterprise data in place, using Starburst’s AI-Ready Data Products to provide consistent business definitions and governed context at runtime, regardless of where data resides.
AIDA helps users move from question to action by generating visualizations, triggering workflows, opening tickets, updating records, and initiating processes across connected systems — without leaving the applications they use. Through support for the Model Context Protocol (MCP), AIDA can also connect to external tools, unstructured content, and third-party systems to provide richer context across enterprise workflows.
“AI has outpaced data architecture,” said Justin Borgman, co-founder and CEO of Starburst. “Most enterprises are trying to layer AI on top of fragmented, ungoverned data, and it’s not working. At AI & Datanova, we’re showing a different path. With the Starburst Enterprise Intelligence Platform and AIDA, organizations can finally operationalize AI — in weeks, not months — on top of the data they already have, without moving it or rebuilding their stack.”
Building the Foundation for Trusted Enterprise AI
AI systems produce unreliable answers when they query data without understanding what it means. Starburst addresses this through AI-Ready Data Products, which combine governed data, metadata, and business definitions into reusable, trusted assets for analytics and AI, regardless of where data resides.
Rather than requiring organizations to rebuild semantic definitions from scratch, Starburst previewed its new query-in-place approach to business context that already exists across catalogs, BI tools, and data pipelines. New AI-Ready Data Products capabilities include Data Products as Code, now in public preview, and Automatic Metadata Enrichment, now generally available.
Performance & Resilience Built for AI-Scale Analytics
Powered by an engine that delivers up to 2x the performance of open source Trino, Starburst gives enterprises the speed they need to run AI and analytics workloads at scale. New resilience capabilities in the Starburst Enterprise Platform (SEP) ensure mission-critical AI and agentic systems continue operating without disruption during infrastructure failures.
Starburst is also introducing Managed Icehouse, a new capability built on the open architecture of Apache Iceberg and Trino — already used by Netflix, Apple, Shopify, and Stripe — that automates the full lifecycle of Apache Iceberg tables across two core capabilities:
- Icehouse Ingest for streaming and batch ingestion of files
- Icehouse LakeOps for intelligent table optimization, query tuning and comprehensive table health observability
Managed Icehouse gives enterprises a fully managed way to operate open lakehouse infrastructure across hybrid and multi-cloud environments.
Bringing Managed Analytics to the Customer’s Cloud
Starburst introduced a Bring Your Own Cloud (BYOC) deployment model, now in preview, that extends Starburst Galaxy into customer cloud environments while preserving customer control over infrastructure, networking, security, and compliance.
Customers retain compute, networking, and data in their own cloud accounts while benefiting from Starburst’s managed experience, eliminating the tradeoff between operational simplicity and infrastructure sovereignty.
Availability
AIDA is generally available on Starburst Galaxy and Starburst Enterprise Platform.
Deployment of Starburst-managed functionality for BYOC deployments is currently in preview, with design partner programs underway.
New Starburst Enterprise Platform enhancements are available across private and public preview, with select capabilities included in the May 2026 LTS release.
For more on Starburst’s vision for enterprise AI and distributed data, read Justin Borgman’s AI & Datanova keynote blog post at: https://www.starburst.io/blog/engineering-the-ai-leap/.
For more information on AI & Datanova sessions, visit https://www.starburst.io/ai-and-datanova-2026/miami/.
About Starburst
Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments across on-premises systems, multiple clouds, and hybrid architectures, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation.
By enabling federated access to complete enterprise context, Starburst helps AI platforms, applications, and teams move from pilots to production with trusted, actionable data. Built on open standards with Trino and Apache Iceberg, Starburst integrates with existing technologies while helping organizations avoid vendor lock-in. For more information, visit starburst.ai.
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