Engineering the Data Foundation for Production AI and Analytics

Starburst’s October 2026 Galaxy release positions the platform as a production data foundation for AI and analytics, emphasizing accuracy, consistency, auditability, and governed business context to reduce unreliable AI outcomes. Key additions include expanded AIDA conversational analytics capabilities with role-based access, safety guardrails, audit logs, usage monitoring, customizable personas, external tool connections, and APIs for metadata and data-quality automation. The release also introduces the Icehouse Console for centralized Apache Iceberg management, automated schema-drift monitoring, serverless table maintenance, incremental materialized-view refreshes, distributed metadata planning, and broader Iceberg v3 and cloud REST catalog support. Performance enhancements target high-concurrency and near-real-time log analytics through dynamic cross-catalog caching, improved cluster coordination, intelligent load balancing, and claimed two- to threefold higher query throughput. Galaxy further adds OpenTelemetry exports to Datadog and AWS CloudWatch, extended query-history reporting for FinOps and compliance, a redesigned SQL editor and data-centric navigation, guided onboarding, decoupled engine and control-plane upgrades for zero-downtime operations, and expanded interoperability with Databricks Unity Catalog and Delta Lake.

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