Recover dropped Unity Catalog volumes with UNDROP VOLUME
You can now recover a dropped Unity Catalog volume within 7 days. Find its ID with SHOW VOLUMES DROPPED , then run UNDROP VOLUME WITH ID to restore it with its privileges and tags. Requires Databricks Runtime 19 and above. See UNDROP VOLUME .
Also shipped Nov 7, 2026Databricks in November 2026 →
DeepSeek V4.1 Flash 1017 Ultrafast now available on AI Gateway
DeepSeek V4.1 Flash 1017 Ultrafast is now available in public preview on Vercel AI Gateway. The model supports a 1M-token context window and is optimized for high-speed interactive coding and agentic workflows.
Copilot code review: API management and review overview updates
Users can now manage GitHub Copilot code review settings through REST and GraphQL APIs, including enterprise policies and repository-level configurations. The update also adds explicit attribution for Copilot-generated reviews and provides visibility into the skills and instructions used for comments.
CrewAI 1.15.37
This release adds functionality for agents to read spreadsheets via crewai-files and introduces tools to scaffold and load standalone agent projects.
Qwen Code Release v0.27.0
Qwen Code v0.27.0 introduces support for multiple child questions in managed-agent sessions, a task Q&A heatmap in Web Shell, and improved reliability for GitHub channel integrations.
More from Unity CatalogEvery Unity Catalog release →
Unity Catalog wikis are in Beta
Unity Catalog wikis are now in beta, enabling teams to document table meanings and usage directly within Catalog Explorer. Users can collaborate on documentation manually or via Genie Code.
Restore a deleted Unity Catalog metastore with the REST API (Public Preview)
Databricks account admins can now restore a deleted Unity Catalog metastore by ID using the REST API for up to 5 days after deletion in public preview.
Install drivers for JDBC Unity Catalog connections from Maven
Databricks now allows installing the JDBC driver for Unity Catalog connections directly from Maven coordinates instead of manually uploading files to a volume.
Load Unity Catalog tables into PyTorch on AI Runtime (Beta)
UCDataset streams rows from Unity Catalog tables directly into PyTorch training loops on AI Runtime, without Spark or a SQL warehouse. It applies filter expressions and deletion vectors as it reads, and splits the matching rows across GPUs and data loader workers. See Load Unity Catalog tables into PyTorch with UCDataset .
Lakehouse//RT supports fine-grained access control (Beta)
You can now run read queries on tables protected by row filters, column masks, and attribute-based access control (ABAC) policies with Lakehouse//RT. See Fine-grained access control .
Higher limits and BROWSE support for Unity Catalog secrets
A schema can now hold up to 1,000 Unity Catalog secrets, and a metastore up to 10,000, up from 100 and 1,000. The limits apply to Databricks-managed secrets and secrets backed by AWS Secrets Manager.
Serverless GPU in clean rooms will soon be on by default for accounts where it's turned off
Starting November 26, 2026, serverless GPU in clean rooms will be enabled by default for Enterprise tier accounts in Databricks.
Serverless GPU for clean room notebooks is now generally available
Databricks has made serverless GPU compute generally available for clean room notebooks, enabling model inference and training over shared data.