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345 releases of 1354

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  1. OpenAI GPT-5.1 Codex Max and Codex Mini now available as Databricks-hosted models

    Supports code generation and refactoring via Foundation Model APIs. Requires pay-per-token access.

    #Databricks AI
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  2. Anthropic Claude Haiku 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)
  3. Meta Ads connector (Beta)

    Ingests data from Meta Ads, requires setup as a data source.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. MySQL connector in Lakeflow Connect (Public Preview)

    Enables incremental data ingestion from various MySQL databases. Requires access request through account team.

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

    Offers speed and scale for video analysis and data extraction. Requires no setup.

    #Databricks AI
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  6. Confluence connector (Beta)

    Ingests Confluence spaces and pages into Databricks, requires OAuth U2M configuration.

    #Data Ingestion#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. PostgreSQL connector in Lakeflow Connect (Public Preview)

    Enables incremental data ingestion from various PostgreSQL databases. Requires configuration.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. OpenAI GPT-5.2 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(not on this cloud)GCP, read it on their docsSAP(unknown)
  10. Change owner for materialized views or streaming tables defined in Databricks SQL

    Done through Catalog Explorer, replacing previous methods.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Customizable SharePoint connector (Beta)

    Ingests structured, semi-structured, and unstructured files into Delta tables with customizable schema inference and parsing options.

    #Data ingestion#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. Discover files in Auto Loader efficiently using file events

    Requires file events enabled on external locations. Replaces directory listing for efficiency.

    #Auto Loader#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. Jira connector (Beta)

    Ingests Jira issues, comments, and attachments metadata into Databricks.

    #Data Ingestion#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  14. Microsoft Dynamics 365 connector (Public Preview)

    Ingests data from Dynamics 365 apps into Databricks. Requires Lakeflow Connect.

    #Data ingestion#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  15. ForEachBatch for Spark Declarative Pipelines on Lakeflow is available (Public Preview)

    Allows processing streams as micro-batches in Python. Requires Lakeflow setup.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  16. Spark Declarative Pipelines on Lakeflow stream progress metrics are generally available

    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)
  17. Anthropic Claude Opus 4.5 now available as a Databricks-hosted model

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

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  18. Configure full refresh behavior for managed database connectors

    Applies to Lakeflow Connect managed database connectors, allowing scheduled full refresh snapshots and automatic recovery from unsupported schema changes.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  19. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Google Gemini 3 Pro Preview now available as a Databricks-hosted model

    Accessible via Foundation Model APIs and AI Functions, supporting 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)
  22. Google Gemini 3 Pro Preview 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)
  23. Jobs can now be triggered on source view update

    Supports views referencing supported table types, see documentation for specifics.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  24. Databricks SQL alerts are now in Public Preview
    #Data Warehousing#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  25. 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)
  26. 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)
  27. 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)
  28. 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)
  29. 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)
  30. 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)
  31. 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)
  32. 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)
  33. 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)
  34. 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)
  35. 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)
  36. 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)
  37. 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)
  38. 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)
  39. 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)
  40. 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)
  41. 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)
  42. 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)

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