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370 releases of 1340

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  1. Databricks SQL alerts are now in Public Preview

    Offers a new editing experience, replacing the previous version.

    #Data Warehousing#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Improved full refresh flow for managed database connectors

    Reduces downtime by delaying table refresh until snapshot completion, minimizing PENDING_RESET errors.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. OpenAI GPT-5.1 now available as a Databricks-hosted model

    Accessible via Foundation Model APIs and AI Functions for pay-per-token and batch inference workloads.

    #Databricks AI
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  4. Convert foreign tables to Unity Catalog managed or external tables (Public Preview)

    Requires Databricks Runtime 17.0 LTS or above. Uses ALTER TABLE SET MANAGED or SET EXTERNAL.

    #Databricks SQL#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. SFTP connector (Public Preview)

    Extends Auto Loader to ingest files from SFTP servers.

    #Auto Loader#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. Lakeflow Declarative Pipelines has been renamed to Lakeflow Spark Declarative Pipelines

    Replaces Lakeflow Declarative Pipelines, see Spark Declarative Pipelines for details.

    #Lakeflow
    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. New MCP server tab

    Shows managed and external servers, and lists available servers from Databricks Marketplace.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. SQL Editor visualization fix

    Tooltips now display in front of the legend.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  10. Function calling and structured output now available using the Alibaba Cloud Qwen3-Next Instruct model (Beta)

    Supports Qwen3-Next 80B A3B Instruct model.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  11. JAR tasks are now supported on serverless compute

    Run JAR jobs without a cluster.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. Salesforce ingestion connector supports history tracking (SCD type 2)

    Enables history tracking, overwriting default SCD type 1 behavior.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. Databricks SQL version 2025.35 is now available in Preview

    Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  14. Feedback model deprecated for AI agents

    Replaced by log_feedback API in MLflow 3.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  15. Request logs and assessment logs tables deprecated

    Replaced by MLflow 3 for real-time tracing, stops populating November 15, 2025.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  16. Supervisor Agent now supports Unity Catalog functions and external MCP servers

    Delegates tasks to Unity Catalog functions and external MCP servers.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  17. OpenAI GPT 5 models are now generally available in Mosaic AI Model Serving

    Includes GPT-5 mini and nano models.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  18. Gemini 2.5 Pro and Flash models now supported on pay-per-token endpoints

    Supports pay-per-token endpoints and Function calling.

    #Databricks AI
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  19. Zerobus Ingest connector in Lakeflow Connect (Public Preview)

    Enables record-by-record ingestion into Delta tables via gRPC API.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Alibaba Cloud Qwen3-Next Instruct now available in Beta

    Supports 80B A3B Instruct in us-west-2 and ap-northeast-1 regions via pay-per-token APIs.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  22. New alert editing experience

    Replaces old editor with a multi-tab editor for unified workflow.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  23. Unified runs list (Public Preview)

    Combines job and pipeline runs into one list.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  24. Jobs can now be triggered on source table update

    Triggers require Databricks Runtime 7.0 or later.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  25. Create backfill job runs

    Triggers job runs to load past data, useful for repairing processing failures.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  26. Improved autoscaling behavior for Mosaic AI Model Serving

    Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  27. 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.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  28. Visualizations fix

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

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  29. 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.

    #Databricks AI#Model Serving
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  30. Anthropic Claude Sonnet 4.5 now available as a Databricks-hosted model

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

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  31. Prompt caching is now supported for Claude models

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

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  32. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  33. 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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  34. New requirement to create connections for Salesforce ingestion

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

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  35. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  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.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  37. Mosaic AI Agent Framework supports automatic authentication passthrough for Lakebase resources

    Requires MLFlow 3.3.2 or above.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  38. Discover files in Auto Loader efficiently using file events without enrollment (Public Preview)

    Requires file events enabled on external locations.

    #Auto Loader#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  39. Google Analytics Raw Data connector GA

    Enables ingestion of raw Google Analytics data into Databricks, requires Google Analytics 4 and Google BigQuery setup.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  40. Python custom data sources can be used with Spark Declarative Pipelines on Lakeflow

    Supports Python custom data sources and sinks in pipeline definitions.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  41. Spark Declarative Pipelines on Lakeflow now supports stream progress metrics in Public Preview

    Supports querying event log for stream progress metrics.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  42. AI agents: Authorize on-behalf-of-user Public Preview

    Lets agents act as the Databricks user who runs the query for added security.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)

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