Starburst has announced new AI platform capabilities for its Starburst Enterprise Platform and Starburst Galaxy, introducing Starburst AI Agent and AI Workflows to accelerate enterprise AI adoption. These innovations unify distributed data to power AI, apps, and analytics with enhanced governance and performance on a data lakehouse architecture.
Starburst’s AI Agent, in private preview, offers a natural language interface for data analysts and AI agents to generate insights and documentation securely. “AI is raising the bar for enterprise data platforms, but most architectures aren’t ready,” said Justin Borgman, CEO of Starburst. Supporting hybrid and air-gapped environments, it ensures secure data access for regulated sectors like finance, where Starburst serves 10 of the top 15 banks, driving faster AI adoption.
Starburst AI Workflows, in private preview, accelerates AI from experimentation to production by integrating vector-native search, metadata-driven context, and robust governance. Teams can transform unstructured data into vector embeddings in Apache Iceberg, run LLM tasks via SQL, and enforce model access controls without data movement. “We’re turning the data lakehouse into an enterprise-grade platform for AI agents,” said Matt Fuller, VP of AI/ML Products, Starburst, highlighting scalability and security.
The Starburst Data Catalog, in private preview, replaces Hive Metastore with native Iceberg support, reducing metadata sprawl and boosting query performance. Starburst Galaxy’s Fully Managed Iceberg Pipelines automate maintenance tasks like compaction and snapshot cleanup, cutting costs. Ricardo Cardante of TalkDesk noted a 66% reduction in S3 storage costs using Automated Table Maintenance, demonstrating its impact on large-scale Iceberg operations.
Starburst Galaxy’s AI-Powered Auto-Tagging, generally available, uses LLMs to detect sensitive data like PII, enabling secure self-service access. Automatic Query Routing, with User Role-Based Routing generally available and Deployment Set Routing in private preview, optimizes performance by directing queries based on load or role. The Data-to-AI Readiness Blueprint service aligns data infrastructure with AI strategies, ensuring governance and efficiency.
Starburst’s AI capabilities and data lakehouse innovations enable enterprises to overcome fragmented data challenges, accelerating AI adoption with secure, scalable solutions. With a strategic investment from Citi, Starburst is positioned to drive AI transformation across industries, delivering cost-efficient data management and faster insights.
Starburst is the data platform built for flexibility, delivering fast, secure access to all your data, wherever it lives. Whether on-premises, across clouds, or in hybrid environments, Starburst provides choice and control to your architecture. Built on an open data stack with Trino and Apache Iceberg, it unifies distributed data without complex or costly migrations, unleashing the full power of the data lakehouse for analytics and AI.
With our Lakeside AI architecture, enterprises gain federated access, governed collaboration, and full data lineage, laying the foundation for scalable, compliant AI innovation. Starburst empowers data-intensive and security-conscious organizations to unlock the full potential of their data while ensuring performance, governance, and control.
Enterprises in 60+ countries, including Comcast, Citigroup, and 4 of the top 5 global banks, trust Starburst to maximize data value. Our strategic partnerships with AWS, Dell Technologies, and top cloud providers ensures seamless interoperability across environments.
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