Databricks releases, every cloud
- Automatic email notifications for expiring personal access tokens (Public Preview)
Sends emails 7 days before token expiration.
- Configure compute size for Databricks Apps (Public Preview)
Controls CPU, memory, and cost based on workload requirements.
- Genie APIs and Research Agent in Beta
Genie Create and Update APIs allow creating and updating Genie Agents. Research Agent enables multi-step reasoning and hypothesis testing.
- Add Azure Databricks Genie MCP server to Azure AI Foundry (Public Preview)
Enables AI agents to connect to Genie Agents and query data. Requires Azure AI Foundry setup.
- ABAC-secured assets shared using Delta Sharing is in Public Preview
Applies to tables and schemas, but not streaming tables or materialized views.
- Connect Genie Agents to Microsoft Copilot Studio (Public Preview)
Requires Managed MCP Servers preview enabled.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Databricks SQL alerts are now in Public Preview
Offers a new editing experience, replacing the previous version.
- 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.
- JDBC Unity Catalog connection in Beta
Requires Databricks Runtime 17.3 or above. Available on standard, dedicated, or serverless compute.
- SFTP connector (Public Preview)
Extends Auto Loader to ingest files from SFTP servers.
- TISAX compliance controls (Public Preview)
Enhances workspace compliance based on ISO/IEC 27001 and VDA ISA requirements.
- Migrate Community Edition workspaces to Free Edition (Public Preview)
Replaces Community Edition, requires migration tool.
- C5 and K-FSI compliance standards (Public Preview)
Adds German and Korean financial regulations compliance. Requires public preview setup.
- List MCP servers in Azure Databricks Marketplace (Public Preview)
Allows distribution of AI tools and connection to external data sources, requires provider listing.
- List MCP servers in Databricks Marketplace (Public Preview)
Lets users install MCP servers to connect AI agents to external data sources.
- Attribute-based access control (ABAC) now in Public Preview
Enforces access control across all workspaces in an account. Requires Unity Catalog.
- ai_parse_document (Public Preview)
Extracts information from documents, available for testing.
- Zerobus Ingest connector in Lakeflow Connect (Public Preview)
Enables record-by-record ingestion into Delta tables via gRPC API.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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.
- Compatibility Mode (Public Preview)
Enables external clients like Amazon Athena to read tables without sacrificing Databricks performance. Refreshes up to near real-time.
- 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.
- Data Classification (Public Preview)
Supports all catalog types, consolidates results into a system table.
- 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.
- Serverless private git (Public Preview)
Uses Azure Private Link for secure connection, requires setup configuration.
- Configure Azure virtual network service policies for storage access (Public Preview)
Filters outbound traffic from classic compute to specific Azure Storage accounts. Requires Azure virtual network service endpoint policies.
- Pipeline update timeline table is now available (Public Preview)
Tracks pipeline updates, triggers, results, and compute usage, with historical data.
- 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.
- Explore table data using an LLM (Public Preview)
Generates SQL queries from natural language questions using metadata context and table usage patterns.
- Genie One Public Preview
Replaces traditional UI for business users, enabled from admin console Previews page.
- Delta Sharing on Lakehouse Federation is in Beta
Shares foreign schemas and tables from query federation.
- Discover files in Auto Loader efficiently using file events without enrollment (Public Preview)
Requires file events enabled on external locations.
- Spark Declarative Pipelines on Lakeflow now supports stream progress metrics in Public Preview
Supports querying event log for stream progress metrics.
- Databricks connector in Microsoft Power Platform is in Public Preview
Enables building canvas apps and flows with Databricks data. Requires creating a Databricks connection in Power Platform.
- Databricks Online Feature Stores (Public Preview)
Provides low-latency access to feature data, integrating with Unity Catalog and MLflow.
- MLflow metadata is now available in system tables (Public Preview)
Exposes MLflow tracking data via SQL, enabling custom dashboards and queries.
- Databricks Assistant Agent mode: Data Science Agent is in Beta
Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.