Databricks Release Notes

Name: Databricks
Brand: Databricks

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440 release notes curated from 12 sources by the Releasebot Team. Last updated: Jul 11, 2026

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Jul 10, 2026
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Jul 10, 2026

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Jul 11, 2026
Databricks

Databricks-provided MCP Services will GA soon

Databricks soon broadens MCP Services for SaaS apps like Slack, GitHub, Atlassian, and Google Drive with read and write enabled by default.

Databricks-provided MCP Services for SaaS applications such as Slack, GitHub, Atlassian, and Google Drive will soon be generally available, with both read and write operations enabled by default. Admins and users can disable MCP Services and individual tools in Unity AI Gateway.

See Connect agents to third-party tools with MCP Services.
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Jul 10, 2026
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Jul 10, 2026

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Jul 11, 2026
Databricks

SharePoint connector in Lakeflow Connect will soon be generally available

Databricks adds a SharePoint connector in Lakeflow Connect for ingesting files and structured data into Databricks.

The SharePoint connector in Lakeflow Connect will soon be generally available. You can ingest files and structured data from SharePoint sites into Databricks for transformation, analysis, and downstream pipelines.

See SharePoint connector.
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Jul 10, 2026
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Jul 10, 2026

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Jul 3, 2026

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Jul 11, 2026
Databricks

Lakebase Autoscaling update notifications now post 3 days in advance

Databricks shortens Lakebase Autoscaling update notices to help projects get Postgres updates and security patches sooner.

To deliver Postgres version updates, security patches, and new features to your projects sooner, Lakebase Autoscaling has shortened the planned update notification window. Planned updates are now posted at least 3 days in advance, rather than 7. You can check your project's settings for upcoming updates.

See Manage updates.
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Jul 9, 2026
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Jul 9, 2026

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Jul 10, 2026
Databricks

Change to default pipeline editor for workspaces with the compliance security profile enabled

Databricks makes Lakeflow Pipelines Editor the default for compliant workspaces and removes the legacy editor in August.

The Lakeflow Pipelines Editor has been generally available since May 2026. In August, it will become the default editor for developing and debugging pipelines in workspaces with the compliance security profile enabled. At that time the legacy editor will be removed.

For more information about the Lakeflow Pipelines Editor, see Develop and debug ETL pipelines with the Lakeflow Pipelines Editor. If you have questions about this transition, contact your account team.
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Jul 9, 2026
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Jul 9, 2026

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Jul 10, 2026
Databricks

Front-end Private Link for account-level Genie One (Beta)

Databricks adds front-end Private Link support for account-level Genie One and Custom URLs previews.

You can now configure front-end Private Link for account-level Genie One. Turn on the Front-end Private Link for Custom URLs and Account preview to get started. See Configure inbound Private Link for account-level resources.
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Jul 9, 2026
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Jul 9, 2026

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Jul 10, 2026

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Jul 11, 2026
Databricks

Genie Agents enhancements

Databricks renames Genie Spaces to Genie Agents and improves SQL expression management and Genie One access

Genie Agents

Genie Agents (formerly Genie Spaces) renamed to Genie Agents: Genie Agents (formerly Genie Spaces) are now called Genie Agents.

SQL expressions grouped with example SQL

In the authoring experience, SQL expressions are now grouped with example SQL queries so you can define and manage both in one place. See Define SQL expressions.

Consistent Genie Agent experience in Genie One

In Genie One, a Genie Agent now opens as a chat if you have viewing rights only, or in the Analytics and AI workspace UI if you have authoring privileges. See Use Genie One.
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Jul 9, 2026
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Jul 9, 2026

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Jul 10, 2026
Databricks

OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna now available as Databricks-hosted models

Databricks adds OpenAI GPT-5.6 Sol, Terra, and Luna as hosted Model Serving options with pay-per-token access.

Model Serving now supports OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna as Databricks-hosted models. You can access these models using Foundation Model APIs pay-per-token.

Customers are responsible for ensuring their compliance with applicable terms.
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Jul 9, 2026
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Jul 9, 2026

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Jul 10, 2026
Databricks

Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled

Databricks SQL alerts now support all compliance security profile standards and are on by default for compliant workspaces.

Databricks SQL alerts now support all compliance security profile standards that Databricks supports, and are available by default for workspaces with the compliance security profile enabled.

Use Databricks SQL alerts to monitor data and KPIs by running queries on a schedule, evaluating conditions, and notifying recipients when the conditions are met.

See Databricks SQL alerts.
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Jul 9, 2026
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Jul 9, 2026

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Jun 26, 2026

Modified by Releasebot:
Jul 10, 2026
Databricks

Genie One enhancements

Databricks adds document citations, version history, and soft-tab link opening for Documents, while expanding Genie One with GitHub MCP Beta and a new MCP app with richer UI interactions. It also introduces certified visualizations and shared scheduled tasks views.

Document citations

Documents now show citations that link content back to the data and sources Genie One used to generate the document. See View citations.

Document version history

Documents now keep a version history so you can review earlier versions. See View version history.

Open document links in soft tabs

Documents now support soft tabs, so you can open links without leaving the document. See Open links in soft tabs.

GitHub MCP (Beta)

The GitHub MCP connection for Genie One is now in Beta. See GitHub.

Genie One MCP App (Beta)

The Genie One MCP App adds rich UI interactions from third-party agents, including interactive visualizations and Genie Ontology citations. See Genie One MCP server.

Certified visualizations

SQL charts and visualizations that Genie One inserts are now read-only and appear as certified visuals.

Scheduled tasks shared with you

A new modal and listing page show the scheduled tasks that others have shared with you.
Original source
Jul 8, 2026
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Jul 8, 2026

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Jul 10, 2026
Databricks

Restrict access to AI Functions with Unity Catalog permissions (Public Preview)

Databricks adds Unity Catalog permissions to restrict task-specific AI Functions independently of foundation model access.

You can now use Unity Catalog permissions to restrict which task-specific AI Functions your organization can access, independent of foundation model access.

Contact your account team to enable this feature.

See AI Functions Unity Catalog permissions.
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Jul 8, 2026
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Jul 8, 2026

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Jul 8, 2026
Databricks

Behavior changes for continuous jobs and pipelines

Databricks updates Lakeflow Spark Declarative Pipelines and continuous jobs to simplify configuration and state management, with continuous schedules configurable from the pipeline page and new lifecycle behavior for pausing, stopping, and scheduling continuous jobs.
In early August 2026, continuous Lakeflow Spark Declarative Pipelines and jobs will receive updates to simplify configuration and state management.

Continuous pipelines

You will be able to configure a continuous schedule directly from the pipeline page, including job-level settings such as performance mode. Configuring a continuous schedule this way wraps the pipeline in a continuous job.

Databricks recommends running continuous pipelines with a continuous job rather than the pipeline's built-in continuous setting. When a continuous job wraps a pipeline, the job will manage the pipeline's execution lifecycle. The built-in continuous setting is not being removed, but new continuous pipelines should use the continuous job pattern.

Continuous jobs

State management for continuous jobs will be simplified. The following breaking changes will take effect:

Adding a continuous schedule to a job will cancel any active runs, whether the schedule is paused or unpaused.

Removing a continuous schedule from a job will cancel any active runs.

Running a paused continuous job will unpause it.

Pausing a continuous job will also cancel the active run.

Stopping the active run of a continuous job will also pause the job.

A new read-only API field will track the state of a continuous job.

Review any automation or workflows that rely on the current continuous job behaviors and update them before this release.
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Jul 8, 2026
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Jul 8, 2026

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Jul 8, 2026
Databricks

SQL alert task in Lakeflow Jobs will be available by default

Databricks adds generally available SQL alert tasks in Lakeflow Jobs for branching workflows from alert evaluations.

The SQL alert task in Lakeflow Jobs is generally available and will be available by default in your workspace. Use the task to evaluate a Databricks SQL alert as part of a Lakeflow Job. The task returns its evaluation state as a task output value, so downstream tasks can branch on the result.

See SQL alert task for jobs.
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Jul 8, 2026
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Jul 8, 2026

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Jul 8, 2026
Databricks

Genie Agents now uses pay-as-you-go pricing

Databricks adds pay-as-you-go Genie Agents pricing with monthly free LLM usage and budget controls.

Starting July 8, 2026 at 00:00 UTC, Genie Agents is billed following a pay-as-you-go pricing model that includes 150 DBUs of free large language model (LLM) usage every month, equivalent to about $10.50 in the US East region.

Usage beyond the free amount is billed in DBUs, reflecting the underlying LLM models and agents that power each Genie Agents session.

Account admins can set budgets to monitor and control Genie spend.

See Manage budgets and cost controls for Genie and the Databricks pricing page.
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Jul 8, 2026
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Jul 8, 2026

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Jul 8, 2026
Databricks

Genie Spaces is now Genie Agents

Databricks renames Genie Spaces to Genie Agents, with capabilities unchanged.

Genie Spaces are now called Genie Agents. The name changed across the documentation, but the product's capabilities are unchanged. For more information, see Genie Agents.
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Jul 8, 2026
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Jul 8, 2026

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Jul 8, 2026
Databricks

Automatic cost attribution for materialized views and streaming tables in Databricks SQL

Databricks adds custom tag inheritance for materialized view and streaming table refreshes in Databricks SQL to improve cost attribution.

Materialized view and streaming table refreshes in Databricks SQL now inherit custom tags from the enclosing SQL warehouse environment. These tags propagate to billing surfaces like system.billing.usage, enabling proper cost attribution of materialized view and streaming table updates back to the source SQL warehouse. See Attribute costs to the SQL warehouse with custom tags.
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