Databricks on GCP
1090 releases that have landed on GCP, newest first.
- Feedback model deprecated for AI agents
Replaced by log_feedback API in MLflow 3.
- New compute policy form is now generally available
Allows admins to configure policies using dropdown menus, no syntax required.
- Request logs and assessment logs tables deprecated
Replaced by MLflow 3 for real-time tracing, stops populating November 15, 2025.
- 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.
- Serverless compute has been updated to version 17.3
Updated from version 17.2, requires no configuration changes.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- ai_parse_document (Public Preview)
Extracts information from documents, available for testing.
- 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.
- Column drop behavior updated
Fails if column has governed tags, requires removing tags first.
- 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.
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- 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.
- Jobs can now be triggered on source table update
Triggers require Databricks Runtime 7.0 or later.
- 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.
- The Data Science Agent can now also use models served through Anthropic on Databricks
Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled.
- Databricks Runtime maintenance updates (10/07)
Includes bug fixes, security patches, and performance improvements.
- 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.
- 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.