Databricks on Azure
1149 releases that have landed on Azure, newest first.
- Dashboard publishing, scheduling, and field management improvements
Notify viewers is off by default. Custom calculations support over 170 functions.
- Databricks JDBC Driver 2.7.5
Adds Kerberos support with proxy connections, fixes issues with complex queries and Unity Catalog ingestion.
- Genie benchmark scaling and SQL function support
Maximum benchmarks per Genie Agent increased to 500. Supports Unity Catalog SQL functions as answers.
- 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.
- Column drop behavior updated
Fails if column has governed tags, requires removing tags first.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Databricks Runtime 17.3 LTS is now GA
Replaces 7.3 LTS, requires Databricks account.
- Compatibility Mode (Public Preview)
Enables external clients like Amazon Athena to read tables without sacrificing Databricks performance. Refreshes up to near real-time.
- Databricks Runtime maintenance updates (10/21)
Includes bug fixes, security patches, and performance improvements.
- Zstd is now the default compression for new managed tables
Replaces Snappy compression, applies to Databricks Runtime 16.0 and above.
- 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.
- Databricks Connector for Google Sheets offers additional features (Public Preview)
Saves queries within a Google Sheet spreadsheet for easy data refresh and reuse.
- Serverless workspaces are now available (Public Preview)
Comes pre-configured with serverless compute and default storage.
- Dashboard and Genie Agents tagging (Public Preview)
Adds organization and automation via API, replaces manual tracking.
- Dashboard pivot tables, gridlines, and drill-through enhancements
Supports contains, startswith, endswith functions in pivot tables. Gridlines can be toggled on and off in charts.
- Declarative Automation Bundles in the workspace is GA
Allows collaborative editing and deployment of bundle updates through the UI.
- Genie API updates, benchmark explanations, and JOIN improvements
JOIN relationships are now sortable, Genie API endpoints move from Beta to Public Preview.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Jobs can now be triggered on source table update
Triggers require Databricks Runtime 7.0 or later.
- The SAP Business Data Cloud (BDC) Connector for Azure Databricks is generally available
Enables secure data sharing between SAP BDC and Unity Catalog-enabled Azure Databricks workspaces.
- Create backfill job runs
Triggers job runs to load past data, useful for repairing processing failures.
- Data Classification (Public Preview)
Supports all catalog types, consolidates results into a system table.
- Improved autoscaling behavior for Mosaic AI Model Serving
Ignores brief traffic surges, scaling on sustained load increases. Reduces unnecessary concurrency scaling.
- Multimodal support is now available
Supports real-time and batch inference workloads for foundation models.
- 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.
- 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.
- Context based ingress control (Beta)
Enables account admins to set allow and deny rules based on caller identity, request type, and network source.
- Genie knowledge store enhancements and benchmark improvements
Space editors can save messages to benchmark questions and generate benchmark SQL answers. Improves performance and latency.
- 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.
- Visualizations fix
Fixes legend selection for charts with aliased series names in SQL editor and notebooks.
- Databricks Runtime maintenance updates (10/07)
Includes bug fixes, security patches, and performance improvements.
- Certification status system tag is in Public Preview
Applies to catalogs, schemas, tables, and other data assets, indicating certification or deprecation status.
- 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.
- 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.
- Partition metadata is generally available
Enables logging for external Unity Catalog tables, see documentation for setup.
- Serverless private git (Public Preview)
Uses Azure Private Link for secure connection, requires setup configuration.
- 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.
- Anthropic Claude Sonnet 4.5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Notebook improvements
Cell execution minimap appears in right margin, supports up to 100MB notebooks.
- Prompt caching is now supported for Claude models
Caches thinking messages, images, and tool use via cache_control parameter.