Skip to content

Databricks releases, every cloud

9 releases of 1321

Last updated

  1. Budgets are now generally available

    Define spending thresholds with optional per-user overrides and actions like email alerts.

  2. ai_query is now generally available

    Lets you query AI models from SQL or Python.

  3. ai_classify is now generally available

    Classifies text content according to custom labels with support for multi-label classification.

  4. ai_extract is now generally available

    Extracts structured data from text and documents according to a provided schema. Supports nested objects and arrays.

  5. Endpoint telemetry for custom model serving endpoints is generally available

    Persists OpenTelemetry logs, traces, and metrics to Unity Catalog tables.

  6. Foundation model Unity Catalog permissions is generally available

    Requires account team enablement, controls access to system.ai schema.

  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 SQL alerts are now generally available

    Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.

  9. Lakebase is now generally available with compliance security profile

    Requires HIPAA, C5, TISAX, or None compliance standard.

  10. Lakebase is now generally available on Azure

    Adds autoscaling compute and scale-to-zero to 11 new Azure regions.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs

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.