Databricks releases, every cloud
- SFTP connector (Public Preview)
Extends Auto Loader to ingest files from SFTP servers.
- Lakeflow Declarative Pipelines has been renamed to Lakeflow Spark Declarative Pipelines
Replaces Lakeflow Declarative Pipelines, see Spark Declarative Pipelines for details.
- New MCP server tab
Shows managed and external servers, and lists available servers from Databricks Marketplace.
- SQL Editor visualization fix
Tooltips now display in front of the legend.
- Function calling and structured output now available using the Alibaba Cloud Qwen3-Next Instruct model (Beta)
Supports Qwen3-Next 80B A3B Instruct model.
- JAR tasks are now supported on serverless compute
Run JAR jobs without a cluster.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Salesforce ingestion connector supports history tracking (SCD type 2)
Enables history tracking, overwriting default SCD type 1 behavior.
- Databricks SQL version 2025.35 is now available in Preview
Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.
- Feedback model deprecated for AI agents
Replaced by log_feedback API in MLflow 3.
- Request logs and assessment logs tables deprecated
Replaced by MLflow 3 for real-time tracing, stops populating November 15, 2025.
- Supervisor Agent now supports Unity Catalog functions and external MCP servers
Delegates tasks to Unity Catalog functions and external MCP servers.
- OpenAI GPT 5 models are now generally available in Mosaic AI Model Serving
Includes GPT-5 mini and nano models.
- Gemini 2.5 Pro and Flash models now supported on pay-per-token endpoints
Supports pay-per-token endpoints and Function calling.
- Zerobus Ingest connector in Lakeflow Connect (Public Preview)
Enables record-by-record ingestion into Delta tables via gRPC API.
- 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.
- New alert editing experience
Replaces old editor with a multi-tab editor for unified workflow.
- Unified runs list (Public Preview)
Combines job and pipeline runs into one list.
- Jobs can now be triggered on source table update
Triggers require Databricks Runtime 7.0 or later.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Create backfill job runs
Triggers job runs to load past data, useful for repairing processing failures.
- Improved autoscaling behavior for Mosaic AI Model Serving
Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.
- 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.
- Visualizations fix
Fixes legend selection for charts with aliased series names in SQL editor and notebooks.
- 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.
- Anthropic Claude Sonnet 4.5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Prompt caching is now supported for Claude models
Caches thinking messages, images, and tool use via cache_control parameter.
- Semantic metadata in metric views
Requires YAML 1.1 and Databricks Runtime 17.3 or higher.
- 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.
- New requirement to create connections for Salesforce ingestion
Requires Databricks connected app installed. Applies to new connections only.
- Databricks SQL version 2025.30 is now available in Preview
Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.
- 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.
- Mosaic AI Agent Framework supports automatic authentication passthrough for Lakebase resources
Requires MLFlow 3.3.2 or above.
- Discover files in Auto Loader efficiently using file events without enrollment (Public Preview)
Requires file events enabled on external locations.
- Google Analytics Raw Data connector GA
Enables ingestion of raw Google Analytics data into Databricks, requires Google Analytics 4 and Google BigQuery setup.
- Python custom data sources can be used with Spark Declarative Pipelines on Lakeflow
Supports Python custom data sources and sinks in pipeline definitions.
- Spark Declarative Pipelines on Lakeflow now supports stream progress metrics in Public Preview
Supports querying event log for stream progress metrics.
- AI agents: Authorize on-behalf-of-user Public Preview
Lets agents act as the Databricks user who runs the query for added security.
- Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is rolled back to Public Preview
Reverts migration feature to Public Preview due to issues. Requires re-enabling default publishing mode in pipelines.
- SQL Server connector supports SCD type 2
Maintains a history of changes, rather than overwriting outdated records.
- Default warehouse setting is now available in Beta
Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.
- External MCP servers are in Beta
Enables agent access to external tools, requires connecting to Model Context Protocol servers.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.