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Databricks releases, every cloud

26 releases of 1321

Last updated

  1. Base environments are now supported on classic compute (Beta)

    Manages Python dependencies using Databricks-provided or custom environments.

  2. Git Folder Serverless is in Beta

    Shares serverless compute and pyproject.toml environment across notebooks and files.

  3. Default Python package repositories are GA for Lakeflow pipelines and classic compute

    Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.

  4. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

  5. Target an Azure capacity reservation group for classic compute

    Requires VNet injection, guarantees compute capacity for constrained VM types.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  6. 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.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Web terminal on serverless GPU compute (AI Runtime) is in Public Preview

    Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  9. Dedicated group clusters will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Enables shared compute for groups with compliance security profile, supporting Databricks Runtime for ML and RDD APIs.

  10. Serverless compute is now available in the Azure UK West region

    Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs
  11. Databricks connector for Power Platform is generally available

    Connects Databricks to Power Platform services like Power BI and Power Apps. Requires Databricks account and Power Platform license.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  12. Use OAuth to authenticate Databricks connections in Power Platform

    Replaces personal access tokens, requires setup in Power Platform.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  13. Schedule deferred policy enforcement for all-purpose compute

    Applies on next restart or immediately, and admins can cancel scheduled enforcements.

  14. Instance events and instance pools system tables are now available (Public Preview)

    Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.

  15. Databricks Container Services for standard compute is now available (Beta)

    Requires Databricks Runtime 18.3 or later, allows custom Docker images in shared compute.

  16. Power BI connections will transition to ADBC Coming soon

    Replaces ODBC, requires manual update for existing connections.

  17. Compute log delivery to volumes is now GA

    Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage.

  18. Serverless compute is enabled by default

    Eligible Google Cloud workspaces are affected, account admins no longer need to manually enable it.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  19. Flexible node types are now generally available

    Falls back to alternative instance types when specified type is unavailable, improving launch reliability.

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  21. Add Azure Databricks Genie MCP server to Azure AI Foundry (Public Preview)

    Enables AI agents to connect to Genie Agents and query data. Requires Azure AI Foundry setup.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  22. Connect Genie Agents to Microsoft Copilot Studio (Public Preview)

    Requires Managed MCP Servers preview enabled.

  23. Configure compute to use AWS Capacity Blocks

    Replaces on-demand instances, requires AWS account setup.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  24. Databricks Connector for Google Sheets offers additional features (Public Preview)

    Saves queries within a Google Sheet spreadsheet for easy data refresh and reuse.

  25. Interact with Azure Databricks jobs in a Power Automate flow (Public Preview)

    Adds Azure Databricks job action to Power Automate flows. Requires adding the action to a flow.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  26. Azure Databricks connector in Microsoft Power Platform is now GA

    Replaces beta version, requires Azure Databricks account.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  27. Power BI Azure Databricks connector supports M2M OAuth

    Replaces personal access tokens for service principals with Client credentials authentication.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  28. Power BI Databricks connector supports M2M OAuth

    Replaces personal access tokens for service principals with Client credentials authentication.

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

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.