Releasesby IbisExternal access to views through the Unity REST API is generally available
GA2 days agoUnverifiedAdded Oct 15, 2026
External engines can now query Unity Catalog views over Delta Lake tables through the Unity REST API. See External access to views .
Topics: SQL, Governance, Observability, Developer tools
More Unity Catalog releases
Every Unity Catalog releaseGoverned tag propagation is in Beta
Tag propagation in Unity Catalog is in Beta . When you enable tag propagation for a governed tag, Unity Catalog uses lineage to automatically apply that tag to derived tables and views whenever a supported operation runs, such as CREATE TABLE AS SELECT , CREATE VIEW , INSERT INTO ... SELECT , or MERGE .
JDBC Unity Catalog connections will soon be available by default for workspaces with the compliance security profile enabled
In mid-November 2026, JDBC Unity Catalog connections, including support for SSL certificates, will be available by default for workspaces with the compliance security profile enabled. Use JDBC Unity Catalog connections to connect to external databases with a custom JDBC driver, with access governed by Unity Catalog. See JDBC connection .
Unity Catalog Scala and Java UDFs and Scalar and Batch Unity Catalog Python UDFs will soon be available by default for workspaces with the compliance security profile enabled
Unity Catalog Scala and Java UDFs and Scalar and Batch Unity Catalog Python UDFs will be available by default for workspaces with the compliance security profile enabled in November 2026. See Python UDF feature requirements and Scala and Java user-defined functions (UDFs) in Unity Catalog .
The Discover page and domains are now GA
The Discover page and domains are now generally available. Discover is a curated browsing experience that helps users find assets across Databricks without requiring deep knowledge of catalog hierarchies.
The remote_query function will soon be available by default for workspaces with the compliance security profile enabled
In November 2026, the remote_query table-valued function will be available by default for workspaces with the compliance security profile enabled. Use remote_query to run queries on external databases in their native SQL syntax, with credentials from a Unity Catalog connection. See Query external databases using the remote_query function .
JDBC Unity Catalog connections are now generally available
JDBC Unity Catalog connections are now generally available on serverless compute, Databricks Runtime 19 and above, and SQL warehouses 2025.40 and above, including support for SSL certificates. OAuth M2M authentication remains in Beta. See JDBC connection .
Cross-engine attribute-based access controls (ABAC) is now generally available
Cross-engine attribute-based access controls (ABAC) is now generally available. Supported external engines can read Unity Catalog managed tables with ABAC policies, row filters, and column masks enforced by Databricks serverless compute. See Cross-engine attribute-based access controls (ABAC) for requirements, supported clients, and serverless compute costs.
ABAC on views is in Beta
Attribute-based access control (ABAC) row filters and column masks now extend to views, in addition to tables. This lets you use ABAC policies to control access to sensitive data exposed through views. Account admins can enable the ABAC on Views preview from the account console's Previews page. This feature requires Databricks Runtime 19 or above.
Also shipped on Oct 13, 2026
Databricks in October 2026What's included:
- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.
The AI.AGG function is generally available (GA)
The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.
BigQuery generative AI functions now support the gemini-4-argon model
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
Gemini 4 Argon in CodeMender (Preview)
CodeMender now supports Gemini 4 Argon. To use it, pass --model gemini-4-argon to cm find , cm verify , or cm fix . Gemini 3.8 Flash remains the default model. For more information, see Specifying the model .
Gemini 4 Argon and Gemini 4 Argon Cyber Permissive
Gemini 4 Argon ( gemini-4-argon ) is available in General Availability (GA) . Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.
iOS 27.2 beta 4 (24B5110a)
- View downloads View release notes