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Databricks releases, every cloud

12 releases of 1321

Last updated

  1. Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)

    Replaces server hostname with workspace URL for connection.

  2. Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview

    Supports text and image inputs with a 1 million token context window. Access via Foundation Model APIs.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  3. Restrict access to AI Functions with Unity Catalog permissions (Public Preview)

    Requires account team enablement, restricts access to task-specific AI Functions.

  4. Omnigent coding agent meta-harness is now in Beta

    Wraps coding agents like Claude Code and Codex with a common platform. Swap runtimes with one line of configuration.

  5. ai_classify and ai_extract now support v2 signatures (Public Preview)

    Supports improved quality and performance with native composability with ai_parse_document.

  6. Connect to Databricks from Microsoft Excel (Public Preview)

    Imports data from tables or Metric Views, executes SQL queries in Excel.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Schedule data refreshes in Google Sheets (Public Preview)

    Refreshes occur hourly, daily, or weekly.

  9. 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.

  10. Managed MCP servers is now Public Preview

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

  11. AI agents: Authorize on-behalf-of-user Public Preview

    Lets agents act as the Databricks user who runs the query for added security.

  12. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

  13. External MCP servers are in Beta

    Enables agent access to external tools, requires connecting to Model Context Protocol servers.

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.