Databricks releases, every cloud
- Lakeflow Designer is now in Public Preview
Offers drag-and-drop canvas and natural language for building data workflows.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Query-based connectors for Lakeflow Connect (Public Preview)
Ingests data from databases using a cursor column, supporting Oracle, Teradata, and others.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Share foreign Iceberg tables with Delta Sharing (Public Preview)
Adds read-only access to federated foreign Iceberg tables. Requires Delta Sharing.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18.2 and Databricks Runtime 18.2 ML are in Beta
Powered by Apache Spark 4.1.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_classify and ai_extract now support v2 signatures (Public Preview)
Supports improved quality and performance with native composability with ai_parse_document.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Classification and Information Extraction are in Public Preview
Built on v2 signatures of ai_classify and ai_extract, they provide visual UIs for document analysis.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Auto Loader supports automatic type widening (Public Preview)
Requires DBR 16.4 or above, supports text and binary file formats.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Runtime is now in Public Preview
Adds GPU support to serverless compute for deep learning workloads.
- Health indicators for tables in Catalog Explorer (Public Preview)
Shows freshness and completeness status based on anomaly detection.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Inbound Private Link for performance-intensive services (Public Preview)
Enables private connectivity for Zerobus Ingest and Lakebase Autoscaling.
- Multi-table transactions are now in Public Preview
Requires catalog commits on participating tables, supports Unity Catalog managed Delta tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Tree view of the workspace browser side panel (Public Preview)
Provides a flexible tree-based view of workspace folder hierarchy, allowing expansion of descendant folders and root changes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Connect to Azure Databricks from Microsoft Excel (Public Preview)
Imports data from tables or Metric Views, executes SQL queries in Excel.
- Connect to Databricks from Microsoft Excel (Public Preview)
Imports data from tables or Metric Views, executes SQL queries in Excel.
- Customer-managed keys for Unity Catalog (Public Preview)
Protects data with user-owned encryption keys, replacing automatic encryption.
- Notebook tagging (Public Preview)
Organizes notebooks for easier management, supports governed tags for trust levels or lifecycle status.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Schedule data refreshes in Google Sheets (Public Preview)
Refreshes occur hourly, daily, or weekly.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - HITRUST compliance controls (Public Preview)
Manages risk and demonstrates security and privacy compliance. Requires enabling in settings.
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- Serverless outbound IPs available through public JSON endpoint (Public Preview)
Replaces existing stable IPs, requires Public Preview enrollment.
- JAR tasks on serverless compute is now in Public Preview
Allows running JAR jobs without a cluster.
- Databricks Runtime 18.1 and Databricks Runtime 18.1 ML are in Beta
Powered by Apache Spark 4.1.0.
- Qwen3-Embedding-0.6B now available in Public Preview as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Configure default Python package repositories for Spark Declarative Pipelines on Lakeflow (Public Preview)
Allows installation from internal Python repositories without index-url or extra-index-url. Requires workspace admin configuration.
- Query tags for SQL warehouses (Public Preview)
Apply custom tags to SQL workloads for cost attribution and filtering. Tags can be set via session parameters or SQL statement.
- Decrypt query history system table fields (Public Preview)
Decrypts statement_text and error_message fields for CMK-enabled workspaces.
- Data Quality Monitoring Anomaly Detection public preview
Enabled at schema level, learns from historical data patterns, and consolidates health into a system table.
- Tag Databricks Apps (Public Preview)
Organize and categorize apps, but search is not supported.
- Managed MCP servers is now Public Preview
Allows AI agents to connect to Databricks resources and external APIs.
- Change default workspace access to Consumer access (Public Preview)
Preserves existing users' authoring permissions, streamlines consumer onboarding.
- Databricks Assistant Agent mode is now in Public Preview
Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.
- MySQL connector in Lakeflow Connect (Public Preview)
Enables incremental data ingestion from various MySQL databases. Requires access request through account team.
- Context based ingress control is now in Public Preview
Enables account admins to set allow and deny rules based on identity, request type, and network source.
- PostgreSQL connector in Lakeflow Connect (Public Preview)
Enables incremental data ingestion from various PostgreSQL databases. Requires configuration.
- Delta Sharing to external Iceberg clients is in Public Preview
Supports Snowflake, Trino, Flink, and Spark clients with zero-copy access.
- Lakebase now in Public Preview
Introduces autoscaling compute and database branching on AWS. Free until January 2026.
- Microsoft Dynamics 365 connector (Public Preview)
Ingests data from Dynamics 365 apps into Databricks. Requires Lakeflow Connect.
- NetSuite connector (Public Preview)
Ingests data from NetSuite2.com via API, CLI, or notebook.
- Databricks Runtime 18.0 and Databricks Runtime 18.0 ML are in Beta
Powered by Apache Spark 4.1.0, includes JDK 21 as default.
- ForEachBatch for Spark Declarative Pipelines on Lakeflow is available (Public Preview)
Allows processing streams as micro-batches in Python. Requires Lakeflow setup.
- New columns in Lakeflow system tables (Public Preview)
New columns provide job monitoring and troubleshooting data. They are not populated for rows before December 2025.
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.