Databricks releases, every cloud
- Faster inference tables for custom model serving endpoints
Ingests through endpoint telemetry, with configurable sampling, and requires AI Gateway setup.
- Agent Bricks Supervisor Agent now supports Unity Catalog volumes as subagent tools
Adds Unity Catalog volumes as subagent tools, allowing coordinated access.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_classify is now generally available
Classifies text content according to custom labels with support for multi-label classification.
- ai_extract is now generally available
Extracts structured data from text and documents according to a provided schema. Supports nested objects and arrays.
- Endpoint telemetry for custom model serving endpoints is generally available
Persists OpenTelemetry logs, traces, and metrics to Unity Catalog tables.
- Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Anthropic Claude Fable 5 now available as a Databricks-hosted model
Requires pay-per-token Foundation Model APIs.
- Reorganized Spark Declarative Pipelines on Lakeflow documentation
Conceptual topics are now under Concepts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Search supports selected text columns, sorting, and aggregations (Beta)
Supports keyword matching in selected columns, sorting by indexed columns, and aggregate counts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.