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Databricks releases, every cloud

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20 releases of 1321

Last updated

  1. 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.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. 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.

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

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

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. Serve custom LLMs with Custom Model Serving (Beta)

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

    #Machine Learning#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  5. Customer-managed keys now support MLflow managed evaluation features

    Supports MLflow 3 scorers and requires non-CMK encrypted catalog.

    #MLflow#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Updated UI navigation for Databricks Apps

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

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, 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. Databricks Apps supports uv for Python dependency management

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

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  9. Lakebase databases as Databricks Apps resources

    Replaces manual database configuration, requires Lakebase setup.

    #Databricks Apps#Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. 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.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  11. New resources for Databricks Apps

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

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  12. Databricks Apps telemetry (Beta)

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

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  13. Endpoint telemetry for custom model serving endpoints (Beta)

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

    #Machine Learning#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  14. Deploy Databricks apps from Git repositories (Beta)

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

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  15. Store and query MLflow traces in Unity Catalog (Beta)

    Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.

    #Gen AI#MLflow
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  16. New resource types for Databricks Apps

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

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  17. Function calling and structured output now available using the Alibaba Cloud Qwen3-Next Instruct model (Beta)

    Supports Qwen3-Next 80B A3B Instruct model.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  18. Improved autoscaling behavior for Mosaic AI Model Serving

    Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  19. Mosaic AI Model Serving now supports OpenAI GPT 5 models (preview)

    Supports GPT-5, GPT-5 mini, and GPT-5 nano models for batch inference with AI Functions.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Anthropic Claude Opus 4.1 now available as a Databricks-hosted foundation model

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

    #Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  22. Route-optimized endpoints now require route-optimized URL path for querying

    Requires route-optimized URL path for querying, standard workspace URL path not supported for new endpoints.

    #Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, 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.