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Databricks releases, every cloud

40 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. Data Classification now scans Unity Catalog views (Beta)

    Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.

  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. Git Folder Serverless is in Beta

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

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

  9. 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)
  10. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

  11. 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)
  12. 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.

  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. 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.

  15. Data Classification is now available by default for additional compliance standards

    Requires compliance security profile with C5, TISAX, or IRAP controls.

  16. 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
  17. Data Classification is now available by default for some workspaces with the compliance security profile enabled

    Requires compliance security profile and specific controls like HIPAA or HITRUST.

  18. Schedule deferred policy enforcement for all-purpose compute

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

  19. Databricks Apps horizontal scaling (Beta)

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

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  21. 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.

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

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

  23. App telemetry for Databricks Apps is now in Public Preview

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

  24. Databricks Data Classification is now GA

    Automatically classifies and tags sensitive data in Unity Catalog using AI.

  25. Compute log delivery to volumes is now GA

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

  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. Databricks Apps supports uv for Python dependency management

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

  29. Lakebase databases as Databricks Apps resources

    Replaces manual database configuration, requires Lakebase setup.

  30. 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)
  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. New resources for Databricks Apps

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

  33. Databricks Apps telemetry (Beta)

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

  34. Deploy Databricks apps from Git repositories (Beta)

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

  35. Tag Databricks Apps (Public Preview)

    Organize and categorize apps, but search is not supported.

  36. Compute sizing for Databricks Apps is now generally available

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

  37. Flexible node types are now generally available

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

  38. New resource types for Databricks Apps

    Adds MLflow experiments, vector search indexes, UDFs, and Unity Catalog connections as resources.

  39. Configure compute size for Databricks Apps (Public Preview)

    Controls CPU, memory, and cost based on workload requirements.

  40. 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)
  41. Data Classification (Public Preview)

    Supports all catalog types, consolidates results into a system table.

  42. Data classification system table Beta

    Captures sensitive data detections at column level across enabled catalogs.

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.