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Databricks releases, every cloud

142 releases of 1348

Last updated

  1. 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.

  2. CPU_MEDIUM and CPU_LARGE workload types for Model Serving (Beta)

    Trade concurrency for more memory per worker on same CPU hardware, for models needing more memory than standard CPU workload.

  3. Version 18.1

    Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.

  4. ai_parse_document is now generally available

    Parses structured content from unstructured documents, limited to 500 pages and 100 MB.

  5. Anthropic Claude Opus 4.7 now available as a Databricks-hosted model

    Accessible via Foundation Model APIs, supports pay-per-token queries.

  6. AI Gateway now governs MCP servers (Beta)

    Enforces access control and monitors usage across MCP interactions, replacing prior governance methods.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon

    Deletes now retain associated tables by default, set cascade=true to remove them.

  9. ai_prep_search (Beta)

    Transforms ai_parse_document output into search-ready chunks for vector search and RAG pipelines.

  10. Agent Bricks Knowledge Assistant and Supervisor Agent are now available on GCP

    Available in 6 GCP regions, requiring cross-geo processing in europe-west3 and asia-southeast1.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  11. Databricks Documentation site table of contents tabs

    Replaces static sidebar with tabbed navigation, includes 6 context tabs.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  12. ai_classify and ai_extract now support v2 signatures (Public Preview)

    Supports improved quality and performance with native composability with ai_parse_document.

  13. Supervisor Agent is now available by default for Enhanced Security and Compliance customers

    Requires compliance security profile and specific controls like HIPAA or PCI-DSS.

  14. OpenAI GPT-5.4 mini and GPT-5.4 nano now available as Databricks-hosted models

    Access via Foundation Model APIs pay-per-token, 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)
  15. Empty vector search endpoints no longer incur charges

    Charges stop 24 hours after last index is deleted.

  16. 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.

  17. 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)
  18. Managed OAuth flows for external MCP servers

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

  19. Version 18.0

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

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  21. 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)
  22. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  23. Change to use_case field in VPC endpoint API responses Coming soon

    Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  24. 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)
  25. Anthropic Claude Sonnet 4.6 now available as a Databricks-hosted model

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

  26. Qwen3-Embedding-0.6B now available in Public Preview as a Databricks-hosted model

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

  27. 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.

  28. New GCP regions support serverless compute

    Available in me-central1 and southamerica-east1 regions.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  29. 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)
  30. 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)
  31. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  32. Managed MCP servers is now Public Preview

    Allows AI agents to connect to Databricks resources and external APIs.

  33. 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.

  34. 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)
  35. 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)
  36. Anthropic Claude Haiku 4.5 now available as a Databricks-hosted model

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

  37. 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)
  38. Serverless workspaces are now available in new GCP regions

    Available in most GCP regions, see documentation for list.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  39. 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)
  40. 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.

  41. 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)
  42. 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)

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