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11 releases of 1321

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  1. Custom trace views in the MLflow trace explorer are in Beta

    Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.

    #Gen AI#MLflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. MLflow trace storage in Unity Catalog is now generally available

    Stores traces in OpenTelemetry format with unlimited storage and SQL query access.

    #MLflow#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  3. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

    #Admin#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  4. 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)
  5. MLflow trace storage in Unity Catalog is now in Public Preview

    Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.

    #MLflow#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Workspace base environments are now generally available

    Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.

    #Admin#Serverless
    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. 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)
  9. New Azure Databricks accounts will not have access to legacy features

    Accounts created after December 18, 2025 use Unity Catalog exclusively.

    #Admin#Unity Catalog
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  10. New Databricks accounts will not have access to legacy features

    New accounts use Unity Catalog, lack DBFS root access. Applies to accounts created after December 18, 2025.

    #Admin#Unity Catalog
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  11. Disable legacy features settings are now GA

    Disables access to DBFS, Hive Metastore, and shared compute in new workspaces.

    #Admin
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. Automate classic workspace creation with AWS IAM temporary delegation

    Replaces AWS Quickstart template, grants temporary access to provision IAM roles and S3 bucket.

    #Admin
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(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.