Databricks releases, every cloud
- AI Functions REST API is now generally available
Includes ai_parse_document, ai_extract, and ai_classify calls.
- Consumer access to query Unity Gateway services will become generally available Coming soon
Requires account admins to set budgets and rate limits beforehand to control model traffic.
- ai_extract precision mode is now generally available
Supports multi-page documents and schemas with 50+ fields.
- JAR tasks on serverless compute are now generally available
Requires matching Scala, Java Development Kit, and Databricks Connect versions.
- Unity Gateway is now generally available
Controls AI service access and traffic, part of Unity Catalog, with some features still in Beta.
- Serverless compute access control is now generally available
Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Budgets are now generally available
Define spending thresholds with optional per-user overrides and actions like email alerts.
- ai_query is now generally available
Lets you query AI models from SQL or Python.
- AUTO CDC flows for streaming tables in Databricks SQL are generally available
Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.
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.
- Foundation model Unity Catalog permissions is generally available
Requires account team enablement, controls access to system.ai schema.
- Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available
Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks SQL alerts are now generally available
Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.
- Workspace base environments are now generally available
Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_parse_document is now generally available
Parses structured content from unstructured documents, limited to 500 pages and 100 MB.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Sample Data Explorer is generally available
Lets you ask questions about Unity Catalog tables using natural language, returning SQL queries.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Supervisor Agent is now Generally Available
Available in select US regions for workspaces without Enhanced Security.
- Serverless workspaces are now generally available
Come pre-configured with serverless compute and default storage.
- Knowledge Assistant is now generally available
Available in select US regions for workspaces without Enhanced Security.
- OpenAI GPT 5 models are now generally available in Mosaic AI Model Serving
Includes GPT-5 mini and nano models.
- New SQL editor is generally available
Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.