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218 releases of 1348

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  1. Databricks SQL pipelines support notifications and performance mode (Beta)

    Supports failure notifications and serverless performance mode for materialized views and streaming tables.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  2. Workday HCM connector (Beta)

    Ingests Workday Human Capital Management data into Databricks.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  3. Serverless compute now available for IRAP and Canada Protected B workloads on Azure Databricks

    Requires environment version 5 to be enabled.

    #Security#Serverless
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  4. Lakebase now available in three additional regions

    Adds Canada Central, Europe London, and South America São Paulo regions.

    #Lakebase
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(not on this cloud)
  5. Lakebase now includes high availability

    Pairs primary compute with 1-3 secondary instances across zones, automatically promoting a secondary if primary fails.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  6. Version 18.0

    Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.

    #Serverless
    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. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. Change to use_case field in VPC endpoint API responses Coming soon

    Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.

    #API
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  10. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. TikTok Ads connector (Beta)

    Ingests data from TikTok Ads into Databricks.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. HubSpot connector (Beta)

    Ingests HubSpot Marketing Hub data into Databricks via Lakeflow Connect.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. Databricks SQL version 2025.40 is now available in Preview

    Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  14. Serverless compute now available for compliance standards

    Adds HITRUST, PCI-DSS, TISAX, and UK Cyber Essentials Plus support.

    #Serverless
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  15. Google Ads connector (Beta)

    Ingests data from Google Ads into Databricks via Lakeflow Connect.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  16. Lakebase now available on Azure (Beta)

    Lakebase on Azure offers autoscaling compute and scale-to-zero. Supported regions include eastus2, westeurope, and westus.

    #Lakebase
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  17. New GCP regions support serverless compute

    Available in me-central1 and southamerica-east1 regions.

    #Serverless
    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  18. Zendesk Support connector (Beta)

    Ingests ticket, help center, and community forum data from Zendesk Support.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  19. Trigger on update for pipelines (GA)

    Refreshes pipeline when source table changes, usable in Databricks SQL pipeline schedules.

    #Lakeflow
    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. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

    #Lakeflow#Notebooks#Workspace
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  22. Google Drive connector (Beta)

    Supports read_files, spark.read, COPY INTO, and Auto Loader for ingesting files.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  23. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

    Defined with YAML files, they support Python, Python wheel, and notebook tasks.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  24. Manage Lakebase from the Lakebase App

    Replaces Compute tab navigation in Lakehouse UI, accessed via apps switcher.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  25. Ingest Salesforce formula fields incrementally (Beta)

    Replaces snapshotting with incremental ingestion, improving performance and reducing costs.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  26. Row filtering for managed ingestion connectors (Beta)

    Applies conditions like a SQL WHERE clause, available for Google Analytics, Salesforce, and ServiceNow connectors.

    #Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  27. Connect to Lakebase from the SQL editor with read-write access

    Supports full read-write access, see documentation for setup.

    #Lakebase
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  28. Lakebase metrics dashboard

    Monitors system and database health with metrics like RAM and CPU usage.

    #Lakebase
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  29. 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)
  30. Lakebase ACL support

    Grants CAN CREATE or CAN MANAGE permissions from project settings.

    #Lakebase
    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  31. Serverless compute is now available in Azure China North 3

    Available for notebooks, jobs, pipelines, and SQL warehouses.

    #Serverless
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  32. 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)
  33. Serverless workspaces are now available in new GCP regions

    Available in most GCP regions, see documentation for list.

    #Serverless
    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  34. 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)
  35. 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)
  36. 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)
  37. 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)
  38. 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)
  39. Serverless compute is now available in new regions

    Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.

    #Serverless
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  40. 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)
  41. 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)
  42. 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)

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