October 2024

These features and Databricks platform improvements were released in October 2024.

Note

Releases are staged. Your Databricks account might not be updated until a week or more after the initial release date.

Databricks Assistant helps optimize SQL queries

October 31, 2024

Improve the efficiency of SQL queries with syntax warnings and the /optimize slash command. Optimizations pop up in real time, helping you identify inefficiencies before execution.

See Use slash commands for prompts.

Mosaic AI Model Serving is now available on GCP (Public Preview)

October 31, 2024

Mosaic AI Model Serving is now available on Google Cloud in the following regions: us-east and us-central1.

Mosaic AI Model Serving provides a unified interface to deploy, govern, and query AI models. Each model you serve is available as a REST API to integrate into your web or client application.

See Model serving with Databricks.

Enable a metastore to be assigned automatically to new workspaces

October 28, 2024

Account admins can now set a Unity Catalog metastore to be assigned automatically when a new workspace is created in the same region, enabling Unity Catalog by default in those workspaces. See Enable a metastore to be automatically assigned to new workspaces.

Compute system tables now available in all GCP regions

October 22, 2024

The clusters and node_types system tables are now available in all GCP regions. See Compute system tables reference.

Databricks Assistant Autocomplete is now generally available

October 10, 2024

Assistant Autocomplete provides intelligent inline code suggestions as you type to help you write code more quickly and efficiently. For more information, see Get inline code suggestions: Python and SQL examples and the announcement.

Filters on notebook results tables now persist

October 8, 2024

Notebooks results tables now persist filters when you reopen a notebook. See Filter results.

Improvements to comments in notebooks

October 8, 2024

Improvements to the UI for commenting in notebooks make comments easier to add and find. For more information, see Code comments.

Databricks Runtime 16.0 (Beta)

October 8, 2024

Databricks Runtime 16.0 and Databricks Runtime 16.0 ML are now available as Beta releases.

See Databricks Runtime 16.0 (Beta) and Databricks Runtime 16.0 for Machine Learning (Beta).

More reliable reloading of modified Python modules with improvements to autoreload

October 8, 2024

In Databricks Runtime 16.0 and above, updates to the autoreload extension improve the safety and reliability of reloading modified Python modules imported from workspace files. With these changes, autoreload, when possible, reloads only the portion of a module that has changed instead of the entire module. Additionally, Databricks now automatically suggests using the autoreload extension if the module has changed since its last import. See Autoreload for Python modules.