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Databricks releases, every cloud

12 releases of 1321

Last updated

  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.

  2. MLflow trace storage in Unity Catalog is now generally available

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

  3. Solution Accelerators in Databricks Marketplace are now published as apps or notebooks

    They are now categorized as apps or notebooks, with unchanged content.

  4. Install third-party apps from Databricks Marketplace

    Installs apps directly in Unity Catalog-governed workspaces, keeping provider code closed-source.

  5. Use Universal Commits to purchase Marketplace partner products

    Up to 10% of Universal Commits can be used for third-party products.

  6. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Customer-managed keys now support MLflow managed evaluation features

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

  9. 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.

  10. Databricks Marketplace listing creation wizard

    Guides setup of general info, data assets, and attributes in separate steps.

  11. Databricks Documentation site table of contents tabs

    Replaces static sidebar with tabbed navigation, includes 6 context tabs.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  12. Store and query MLflow traces in Unity Catalog (Beta)

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

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  13. List MCP servers in Databricks Marketplace (Public Preview)

    Lets users install MCP servers to connect AI agents to external data sources.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)

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