Data and AI releases

548 this month · 176 companies

Okta support for automatic identity management is now generally available

Generally availableVerified

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.

Security

Read on docs.databricks.com

Also shipped Jul 3, 2026Databricks in July 2026 →

Resource budgets for Cortex Search

Snowflake now supports resource budgets to control credit spending for Cortex Search services. Resource budgets let you define a monthly spending limit and take automated actions, such as revoking access or suspending the service, when spending exceeds your limits. For more information, see Resource budgets for Cortex Search .

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Transformers Release v5.13.0

Release v5.13.0 New Model additions KimiK 2.5, 2.6, and 2.7 This release includes the architecture for Kimi 2.5 which is used by 2.5-2.7: Kimi K2.5 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.

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Manage Vercel Flags segments with Vercel CLI

Vercel Flags segments can now be managed from the Vercel CLI with the new vercel flags segments command. A segment is the targeting primitive a flag uses to decide who sees what. Membership composes from three repeatable tokens: include: , exclude: , and rule: . Pass them to --add or --remove for incremental edits.

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More from Databricks Data Intelligence PlatformEvery Databricks Data Intelligence Platform release →

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.

GA
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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 .

Beta
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July 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.

Preview
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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...

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Custom Docker images for AI Runtime CLI workloads (Beta)

You can now bring your own Docker container image to AI Runtime CLI ( air ) workloads. This feature is in Beta . Use a custom image when you need specific system library versions, complex dependencies, or a reproducible environment. See Use custom Docker images .

Beta
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Parquet v2 for Delta Lake tables is generally available

Parquet v2 is now generally available for Delta Lake tables in Databricks Runtime 18.1 and above. Parquet v2 uses advanced encodings, v2 data page headers, and INT64 timestamps to improve query performance and reduce table sizes. To use, set the delta.parquet.format.version table property to 2.12.0 or enable automatic upgrades.

GA
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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.

Preview
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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 .

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