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Databricks releases, every cloud

55 releases of 1321

Last updated

  1. Databricks Apps is now on by default for workspaces with the compliance security profile enabled

    Requires compliance security profile.

  2. Databricks Apps telemetry is now generally available

    Collects traces, logs, and metrics to Unity Catalog tables using OpenTelemetry.

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

    Manages Python dependencies using Databricks-provided or custom environments.

  4. Session restore for serverless jobs is in Public Preview

    Restores Python variables and Spark session into a new notebook for debugging or exploration, requires eligible serverless compute job runs.

  5. Horizontal scaling for Databricks Apps will soon be available for workspaces with the compliance security profile enabled Coming soon

    Automatically enabled in October 2026 for compliance workspaces, allowing multiple instances behind a single URL.

  6. Genie Code for AI Runtime (Public Preview)

    Generates distributed training code and resolves environment issues. Requires AI Runtime.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. User authorization for Databricks Apps will soon be available for workspaces with the compliance security profile enabled Coming soon

    Enables apps to act with user identity, enforcing existing permissions. Automatically enabled in late September 2026.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  9. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

  10. Session restore for serverless jobs is now in Beta

    Restores Python variables and Spark session into a new notebook. Captures state snapshots on failure or long runs.

  11. Search and replace text across files

    Works in Databricks Git folders or Declarative Automation Bundles projects from the Search pane.

  12. Organize your work with spaces

    Preserves open tabs for specific folders or projects.

  13. 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)
  14. Git CLI commands in Git folders are now in Public Preview

    Enables standard Git commands like git stash and rebase in Databricks terminals. Requires workspace eligibility.

  15. Mention Genie Code in notebook comments

    Triggers AI help inline by typing @ and selecting Genie Code.

  16. Protobuf tensor input for custom model serving endpoints (Public Preview)

    Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.

  17. Custom Docker images for AI Runtime CLI workloads (Beta)

    Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  18. AI Runtime CLI (Beta)

    Submits and manages distributed training workloads on serverless GPU compute from a local machine.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  19. Databricks Apps horizontal scaling (Beta)

    Runs across multiple instances behind a single URL, supports zero-downtime deployments.

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  21. Serve custom LLMs with Custom Model Serving (Beta)

    Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  22. App telemetry for Databricks Apps is now in Public Preview

    Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.

  23. Faster package installs with %uv pip in serverless notebooks

    Requires environment version 5 or above. Replaces %pip for faster installs.

  24. Native data profiling for notebook results tables

    View column statistics by selecting headers and clicking Open selection details. Available in notebooks and new SQL editor.

  25. AI Runtime 1xH100 accelerator (Beta)

    Supports 1xH100 accelerator, see Hardware options for details.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  26. Updated UI navigation for Databricks Apps

    Streamlines app editing and deployment workflows, accessible from the app switcher.

  27. Git-backed app deployments are now generally available

    Deploys apps from Git repositories, allowing Git-only deployments across a workspace.

  28. AI Runtime is now in Public Preview

    Adds GPU support to serverless compute for deep learning workloads.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  29. Databricks Apps supports uv for Python dependency management

    Uses pyproject.toml and uv.lock files. Replaces prior dependency management methods.

  30. Lakebase databases as Databricks Apps resources

    Replaces manual database configuration, requires Lakebase setup.

  31. Databricks Apps compute sizing support for compliance security profile standards

    Available by default for workspaces with compliance security profile enabled, supporting all Databricks compliance standards.

  32. Declarative Feature Engineering APIs (Beta)

    Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(not on this cloud)
  33. New resources for Databricks Apps

    Adds app-to-app communication and governed table access. Requires Unity Catalog tables.

  34. Databricks Apps telemetry (Beta)

    Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.

  35. Endpoint telemetry for custom model serving endpoints (Beta)

    Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  36. Notebook tagging (Public Preview)

    Organizes notebooks for easier management, supports governed tags for trust levels or lifecycle status.

  37. Deploy Databricks apps from Git repositories (Beta)

    Deploys from any branch, tag, or commit, without uploading files to the workspace.

  38. Tag Databricks Apps (Public Preview)

    Organize and categorize apps, but search is not supported.

  39. Paste images into notebooks

    Copies images from local file system using ⌘ + V or Ctrl + V.

  40. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

  41. Compute sizing for Databricks Apps is now generally available

    Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.

  42. View latest scheduled notebook job results

    Shows latest scheduled run in notebooks and dashboards, can update notebook with latest results.

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.