Releasesby GlyphJuly 6, 2026
This serverless compute release includes updates from Databricks Runtime 18 . New features Spark Declarative Pipelines on Lakeflow streaming query ID : Spark Declarative Pipelines on Lakeflow can now set the streaming query ID on demand.
Also shipped Jul 6, 2026Databricks in July 2026 →
You can use Gemini in Spanner Studio to fix errors in your SQL queries
You can use Gemini in Spanner Studio to fix errors in your SQL queries. When you run a query that contains an error, you can click Fix to view a line-by-line comparison of your query and a recommended correction, along with an explanation of the change. This feature is available in Preview .
Modeling
- Added support for agent-specific AI context via the omni_agent Mustache namespace, allowing you to customize AI behavior on a per-agent basis. See Optimize models for Omni AI for more information.
Self-serve identity provider changes
- New: Users with the Owner role can switch their tailnet's identity provider from the admin console for supported providers ( beta ).
AI_TRANSLATE now supports long-document translation
Snowflake Cortex AI_TRANSLATE now supports translation of up to 100,000 input tokens, enabling organizations to translate large documents and long-form text directly in Snowflake.
AlphaGenome released for Gemini Enterprise Agent Platform
AlphaGenome, Google DeepMind's state-of-the-art genomics foundation model, is now available for deployment and use with Gemini Enterprise Agent Platform. Designed to decipher the functional regulatory code of the human genome, AlphaGenome analyzes large-scale DNA sequences at single-base resolution to predict how genetic variations affect molecular and...
Gemini API developer logs now cover the Interactions API
Logs for supported Interactions API calls are now viewable in the AI Studio dashboard, making agent interactions easier to debug.
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Budgets are now generally available
Budgets, including budgets for Unity Gateway, are now generally available. Budgets let admins define spending thresholds. For requests managed through Unity Gateway, including Genie interactions, admins can set additional per-user thresholds and overrides, with configurable actions such as email alerting and usage blocking.
Private Link for account-level resources (Beta)
You can now use Private Link to privately connect to Databricks account-level resources, such as the account console, through a VPC interface endpoint instead of the public internet. See Configure inbound Private Link for account-level resources .
Object metadata column is now in Public Preview
The _object_metadata column is now in Public Preview. The _object_metadata column is a hidden metadata column that exposes object-level properties for objects in cloud storage, including MIME type, ETag, user-defined key-value metadata, system-defined metadata, and object tags. It is available starting from Databricks Runtime 18.1.
Zhipu AI GLM 5.2 now available as a Databricks-hosted model
Model Serving now supports GLM 5.2 as a Databricks-hosted model. This mixture of experts (MoE) model supports a 1 million token context window and is optimized for long-horizon reasoning, coding, and agentic tool use. You can access this model using Foundation Model APIs . Customers are responsible for ensuring their compliance with applicable terms .
Okta support for automatic identity management is now generally available
Okta support for automatic identity management is now generally available. Automatic identity management lets you sync users and groups from Okta into Databricks without SCIM provisioning.
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.
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.
Databricks Runtime maintenance updates (06/29)
New maintenance updates are available for supported Databricks Runtime versions. These updates include bug fixes, security patches, and performance improvements. For details, see: Databricks Runtime 18 Databricks Runtime 18.2 Databricks Runtime 18.1 Databricks Runtime 18.0 Databricks Runtime 17.3 LTS Databricks Runtime 16.4 LTS Databricks Runtime 15.4 LTS...