Data and AI releases

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Agentic code converter is in Beta

BetaVerified

The agentic code converter is in Beta . Use it to convert legacy SQL dialects, such as T-SQL, Snowflake, Redshift, Oracle, BigQuery, and Teradata, to ANSI SQL in migration projects in your workspace.

AI agentsSQLBI

Read on docs.databricks.com

Also shipped Jul 16, 2026Databricks in July 2026 →

Xcode 27 runner image now in public preview

You can now build and test your Apple applications against Xcode 27 on GitHub-hosted macOS runners. This is now available in public preview. With early access to the latest Xcode toolchain and Apple SDKs, you can validate your apps against the newest tools, catch compatibility issues sooner, and keep your CI/CD pipelines current.

Preview
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AI Search High QPS is now generally available

AI Search High QPS is now generally available for standard endpoints. Set a target QPS on standard AI Search endpoints to power high-throughput, real-time workloads like search bars, recommendation systems, and entity matching. High QPS is enabled by default, but existing endpoints are not affected.

GA
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Allowlist partner platform IPs in context-based ingress control (Beta)

Context-based ingress control now supports Partner Platforms as a network source. Select a partner platform to allowlist the IPs that third-party apps use to connect to Databricks, including Power BI, Tableau Cloud, and dbt platform. Databricks manages and updates these IP lists automatically. See Network sources .

Beta
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Automatic upgrades will roll out more features to existing tables

Automatic upgrades apply recommended features to your Unity Catalog managed tables after verifying workload compatibility. Databricks is expanding the features that automatic upgrades apply to existing tables. Starting in July 2026, automatic upgrades will roll out row tracking and Checkpoint V2 to existing tables.

Update
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View warehouse activity details (General Availability)

The Activity details toggle in the SQL warehouse monitoring UI is now generally available. View color-coded annotations on the Running clusters chart that explain why a warehouse remains active, including query activity, fetching queries, open sessions, and idle states.

GA
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