Data and AI releases

548 this month · 176 companies

Standard performance mode is now available for one-time runs in the Jobs API

UpdateVerified

You can now set performance_target to STANDARD in the Jobs API. Apache Airflow's DatabricksSubmitRunOperator also supports this. See Create and trigger a one-time run and Select a performance mode .

Developer toolsPerformance

Read on docs.databricks.com

Also shipped Sep 11, 2026Databricks in September 2026 →

Automations in Snowflake CoWork (General availability)

Automations in Snowflake CoWork are now generally available. An automation turns a one-time report into a recurring one: Snowflake CoWork re-runs your question with fresh data on the schedule you choose and emails you the results, including a summary and key metrics, along with a link that opens the full report so you can ask follow-up questions.

GA
Source ↗

Preview a remixable project without signing in

Anyone who opens the link to a project with public remixing enabled can now see a preview of the latest version of the app before they remix it, even without a Lovable account. The page shows a Remix button, and remixing requires signing in. It shows the app only, with no project name, code, chat history, or files.

Preview
Source ↗

Preview or remix a template from its card

You can now preview or remix a template from its card. On lovable.dev/templates and on the dashboard's Lovable templates tab, each template card has a ⋯ menu with Preview and Remix . Preview opens the template app in a preview window, and Remix makes your own copy of the template.

Preview
Source ↗

More from LakeflowEvery Lakeflow release →

Session restore for serverless jobs is in Public Preview

Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the entire job. Databricks captures the snapshot automatically for eligible runs. See Session restore for serverless jobs .

Preview
Source ↗

Managed tables in Lakeflow pipelines (Beta)

You can now create managed tables in Lakeflow pipelines and write to them with one or more append flows. This feature is in Beta . You can also use import_checkpoint on an append flow to migrate an existing Structured Streaming workload into a pipeline without reprocessing the source. See create_table , CREATE TABLE ... FLOW (pipelines) , and append_flow .

Beta
Source ↗

Maintenance windows for continuous pipelines

You can now set a maintenance window on a continuous Lakeflow pipeline to control when Databricks applies platform updates that require a restart, such as new runtime versions and serverless infrastructure maintenance. Select a day of the week, a start hour, and a time zone, and Databricks starts maintenance only within that one-hour window.

Update
Source ↗

Celigo connector (Beta)

The Celigo connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests audit log events, such as create, update, and delete operations on resources, from Celigo (integrator.io) into Databricks. Authentication uses a Celigo integrator.io API token.

Beta
Source ↗

Anysphere Organization connector (Beta)

The Anysphere Organization connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector uses the Anysphere (Cursor) Organization Admin API to ingest organization members, groups, and group members into Databricks as daily snapshots.

Beta
Source ↗

Anaplan connector (Beta)

The Anaplan connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests audit trail events and user account records from your Anaplan tenant into Databricks. Authentication uses an Anaplan CA certificate and its paired private key. See Anaplan connector .

Beta
Source ↗