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Releases

Week of January 19, 2026

10 releases between January 19, 2026 and January 25, 2026, 2 of them change something you already run.

GA
2
Update
8
On
AWS 9, Azure 8, GCP 7
  1. Improved group sharing for automatic identity management

    Shares account-level assets with Microsoft Entra ID groups. Requires automatic identity management.

    #Security#Unity Catalog
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  2. Google Drive connector (Beta)

    Supports read_files, spark.read, COPY INTO, and Auto Loader for ingesting files.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Dashboard subscriptions, custom calculations, and visualization improvements

    Subscriptions can be sent to account-level users. Custom calculations can reference other custom calculations.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Front-end PrivateLink for performance-intensive services (Beta)

    Supports private connectivity to Zerobus Ingest and Lakebase Autoscaling.

    #Networking#Security
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  5. Genie Agent (formerly Genie Space) lineage and entity matching improvements

    Now discoverable in Unity Catalog lineage, supports bulk entity matching actions.

    #AI/BI#Genie Agents
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. Genie One search and discovery improvements

    Filters inactive apps, boosts certified content in search rankings.

    #AI/BI#Genie
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(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. Lakebase is now generally available

    Includes autoscaling and point-in-time recovery.

    #Lakebase
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  9. Genie One is generally available

    Provides a single interface for business users to interact with data and AI without technical knowledge.

    #AI/BI#Genie
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  10. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

    Defined with YAML files, they support Python, Python wheel, and notebook tasks.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Level of detail expressions for custom calculations

    Control aggregation granularity independently of visualization dimensions. Used for calculating percentages or comparing values to dataset-wide aggregates.

    #AI/BI#Dashboards
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)

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