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Databricks releases, every cloud

161 releases of 1321

Last updated

  1. Search in metric views fix

    Now returns correct results across paginated results and supports filtering by display name.

  2. 5X-Large SQL warehouse size (Beta)

    Available in all supported regions, controlled from Previews page.

  3. Google Gemini 3.1 Flash Lite now available as a Databricks-hosted model

    Access via Foundation Model APIs or AI Functions, supporting pay-per-token and batch inference workloads.

  4. OpenAI GPT-5.4 now available as a Databricks-hosted model

    Accessible via Foundation Model APIs on a pay-per-token basis, requires compliance with OpenAI's Acceptable Use Policy.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  5. Supervisor Agent is now available in additional regions

    Now available in 9 more regions, see list of supported regions for details.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  6. Managed OAuth flows for external MCP servers

    Eliminates need to register own OAuth app, supports Glean, GitHub, Google Drive, and SharePoint APIs.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Version 18.0

    Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.

  9. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  10. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  11. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  12. Google Gemini 3.1 Pro Preview now available as a Databricks-hosted model

    Access via Foundation Model APIs, AI Functions for batch inference.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  13. Anthropic Claude Sonnet 4.6 now available as a Databricks-hosted model

    Accessible via Foundation Model APIs on a pay-per-token basis.

  14. Databricks SQL version 2025.40 is now available in Preview

    Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.

  15. 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.

  16. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  17. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  18. 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.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  19. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

    Defined with YAML files, they support Python, Python wheel, and notebook tasks.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  22. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  23. Anthropic Claude Haiku 4.5 now available as a Databricks-hosted model

    Accessible via Foundation Model APIs on a pay-per-token basis.

  24. Gemini 3 Flash now available as a Databricks-hosted model

    Offers speed and scale for video analysis and data extraction. Requires no setup.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  25. OpenAI GPT-5.2 now available as a Databricks-hosted model

    Accessible via Foundation Model APIs on a pay-per-token basis.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  26. 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.

  27. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  28. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  29. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  30. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  31. New MCP server tab

    Shows managed and external servers, and lists available servers from Databricks Marketplace.

  32. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  33. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  34. Function calling and structured output now available using the Alibaba Cloud Qwen3-Next Instruct model (Beta)

    Supports Qwen3-Next 80B A3B Instruct model.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  35. Databricks SQL version 2025.35 is now available in Preview

    Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.

  36. Supervisor Agent now supports Unity Catalog functions and external MCP servers

    Delegates tasks to Unity Catalog functions and external MCP servers.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  37. Gemini 2.5 Pro and Flash models now supported on pay-per-token endpoints

    Supports pay-per-token endpoints and Function calling.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  38. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  39. New alert editing experience

    Replaces old editor with a multi-tab editor for unified workflow.

  40. Improved autoscaling behavior for Mosaic AI Model Serving

    Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.

  41. 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.

  42. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

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.