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Databricks on AWS

1201 releases that have landed on AWS, newest first.

  1. SQL MCP server now available (Beta)

    Executes SQL queries against Unity Catalog tables using SQL warehouses. Available at https://<workspace-hostname>/api/2.0/mcp/sql.

  2. AI/BI dashboard table and text widget improvements

    Control line thickness in line charts, copy link URLs from tables, and use DISTINCT and FILTER in aggregate functions.

  3. Context based ingress control (Beta)

    Enables account admins to set allow and deny rules based on caller identity, request type, and network source.

  4. Genie knowledge store enhancements and benchmark improvements

    Space editors can save messages to benchmark questions and generate benchmark SQL answers. Improves performance and latency.

  5. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

  6. Visualizations fix

    Fixes legend selection for charts with aliased series names in SQL editor and notebooks.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. The Data Science Agent can now also use models served through Anthropic on Databricks

    Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  9. Databricks Runtime maintenance updates (10/07)

    Includes bug fixes, security patches, and performance improvements.

  10. 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.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  11. Certification status system tag is in Public Preview

    Applies to catalogs, schemas, tables, and other data assets, indicating certification or deprecation status.

  12. Databricks Runtime 17.3 LTS and Databricks Runtime 17.3 LTS ML are in Beta

    Powered by Apache Spark 4.0.0, includes new configuration options.

  13. Delta Sharing recipients can apply row filters and column masks (GA)

    Recipients can filter and mask shared tables, but providers can't share tables with existing row-level security.

  14. Partition metadata is generally available

    Enables logging for external Unity Catalog tables, see documentation for setup.

  15. Anthropic Claude Sonnet 4 is available for batch inference in US regions

    It supports batch inference workflows and can be used in ai_query requests.

  16. Anthropic Claude Sonnet 4.5 now available as a Databricks-hosted model

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

  17. Notebook improvements

    Cell execution minimap appears in right margin, supports up to 100MB notebooks.

  18. Prompt caching is now supported for Claude models

    Caches thinking messages, images, and tool use via cache_control parameter.

  19. AI/BI dashboard enhancements and global filters improvements

    Fixes global filters panel overflow, adds copy and paste for widgets and pages.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Convert to Unity Catalog managed table from external table

    Uses ALTER TABLE SET MANAGED command. Converts external tables to managed for enhanced features.

  22. Genie Agent (formerly Genie Space) enhancements and thinking trace features

    Adds tables and metric views to spaces, treats extra output rows or columns as incorrect.

  23. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  24. Semantic metadata support for metric views

    Requires YAML spec 1.1 or higher and Databricks Runtime 17.3 or above.

  25. Git email identity configuration for Git folders

    Specifies email for Git author and committer identity, used for all commits through Git folders.

  26. New permissions for the Databricks GitHub App

    Allows Databricks to read GitHub account email, required for upcoming commit linking feature.

  27. Data classification system table Beta

    Captures sensitive data detections at column level across enabled catalogs.

  28. Pipeline update timeline table is now available (Public Preview)

    Tracks pipeline updates, triggers, results, and compute usage, with historical data.

  29. Anthropic Claude Opus 4.1 now available as a Databricks-hosted foundation model

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

  30. Lakeflow Pipelines Editor is now in public preview

    Replaces multi-file editor, edits pipelines as files in asset browser, defaults to Python and SQL code.

  31. New requirement to create connections for Salesforce ingestion

    Requires Databricks connected app installed. Applies to new connections only.

  32. AI/BI dashboard global filters panel improvements

    Opens by default on first visit, preserves last setting thereafter.

  33. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  34. Genie benchmarks and JOIN relationship enhancements

    Benchmarks run as background tasks, and accepted JOINs are confirmed with a checkmark.

  35. Databricks Runtime maintenance updates

    Includes bug fixes, security patches, and performance improvements.

  36. Migrate Spark Declarative Pipelines on Lakeflow pipelines from legacy publishing mode is generally available

    Replaces legacy mode that only published to a single catalog and schema. Now supports multiple catalogs and schemas.

  37. Mosaic AI Agent Framework supports automatic authentication passthrough for Lakebase resources

    Requires MLFlow 3.3.2 or above.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  38. Explore table data using an LLM (Public Preview)

    Generates SQL queries from natural language questions using metadata context and table usage patterns.

  39. 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.

  40. AI/BI dashboard Genie integration and publish dialog improvements

    Genie uses publisher's credentials for embedded dashboards, otherwise uses viewer's. Publish dialog is redesigned.

  41. Compliance support for Mosaic AI Vector Search standard endpoints

    Available in FedRAMP Moderate and IRAP workspaces, requires Databricks AI Search.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  42. Genie SQL improvements, API enhancements, and bug fixes

    Upgraded LLMs improve SQL authoring accuracy. Autocomplete is now available for Genie SQL editing.

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