Databricks releases, every cloud
- Managed OAuth flows for external MCP servers
Eliminates need to register own OAuth app, supports Glean, GitHub, Google Drive, and SharePoint APIs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OpenAI GPT-5.3 Codex now available as a Databricks-hosted model
Available via Foundation Model APIs pay-per-token, requiring compliance with OpenAI's Acceptable Use Policy.
- Databricks SQL version 2025.40 is rolling out in Current
Replaces version 2025.39, requires no setup changes.
- Google Gemini 3.1 Pro Preview now available as a Databricks-hosted model
Access via Foundation Model APIs, AI Functions for batch inference.
- Anthropic Claude Sonnet 4.6 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Databricks SQL version 2025.40 is now available in Preview
Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Anthropic Claude Opus 4.6 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, supports pay-per-token and query reasoning and vision models.
- OpenAI GPT-5.2 Codex now available as a Databricks-hosted model
Excels at code generation and refactoring tasks. Accessible via Foundation Model APIs pay-per-token.
- OpenAI GPT-5.2 Codex now available as a Databricks-hosted model
Excels at code generation and debugging tasks, accessed via Foundation Model APIs pay-per-token.
- Knowledge Assistant is now available in more regions
Available in us-east-2, ca-central-1, eu-central-1, eu-west-1, ap-southeast-1, and ap-southeast-2. Requires cross-geo processing in ap-southeast-1 and ap-southeast-2.
- OpenAI GPT-5.1 Codex Max and Codex Mini now available as Databricks-hosted models
Access via Foundation Model APIs pay-per-token, subject to OpenAI's Acceptable Use Policy.
- OpenAI GPT-5.1 Codex Max and Codex Mini now available as Databricks-hosted models
Supports code generation and refactoring via Foundation Model APIs. Requires pay-per-token access.
- Anthropic Claude Haiku 4.5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Gemini 3 Flash now available as a Databricks-hosted model
Offers speed and scale for video analysis and data extraction. Requires no setup.
- OpenAI GPT-5.2 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Anthropic Claude Opus 4.5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions, supports pay-per-token and batch inference workloads.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- Google Gemini 3 Pro Preview now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions, supporting pay-per-token and batch inference workloads.
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- Google Gemini 3 Pro Preview now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions for pay-per-token and batch inference workloads.
- OpenAI GPT-5.1 now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions for pay-per-token and batch inference workloads.
- New MCP server tab
Shows managed and external servers, and lists available servers from Databricks Marketplace.
- SQL Editor visualization fix
Tooltips now display in front of the legend.
- Function calling and structured output now available using the Alibaba Cloud Qwen3-Next Instruct model (Beta)
Supports Qwen3-Next 80B A3B Instruct model.
- Databricks SQL version 2025.35 is now available in Preview
Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.
- Supervisor Agent now supports Unity Catalog functions and external MCP servers
Delegates tasks to Unity Catalog functions and external MCP servers.
- Gemini 2.5 Pro and Flash models now supported on pay-per-token endpoints
Supports pay-per-token endpoints and Function calling.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- Improved autoscaling behavior for Mosaic AI Model Serving
Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.
- SQL MCP server now available (Beta)
Executes SQL queries against Unity Catalog tables using SQL warehouses. Available at https://<workspace-hostname>/api/2.0/mcp/sql.
- Visualizations fix
Fixes legend selection for charts with aliased series names in SQL editor and notebooks.
- Mosaic AI Model Serving now supports OpenAI GPT 5 models (preview)
Supports GPT-5, GPT-5 mini, and GPT-5 nano models for batch inference with AI Functions.
- Anthropic Claude Sonnet 4.5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Prompt caching is now supported for Claude models
Caches thinking messages, images, and tool use via cache_control parameter.
- Semantic metadata in metric views
Requires YAML 1.1 and Databricks Runtime 17.3 or higher.
- Databricks SQL version 2025.30 is now available in Preview
Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.
- Mosaic AI Agent Framework supports automatic authentication passthrough for Lakebase resources
Requires MLFlow 3.3.2 or above.
- Databricks SQL version 2025.25 is rolling out in Current
Rolls out from August 20th to August 28th, 2025.
- Databricks SQL version 2025.25 is now available in Preview
Adds recursive common table expressions and spatial SQL expressions.
- Fixed timeout handling for materialized views and streaming tables
New views and tables apply warehouse timeout, existing ones require CREATE OR REFRESH. Default timeout is 2 days.
- Token-based rate limits now available on AI Gateway
Configures rate limits on model serving endpoints, replacing legacy governance settings, and requires configuration updates.
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.