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January 2026

These features and Databricks platform improvements were released in January 2026.

注記

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

Databricks Runtime maintenance updates (01/27)​

January 27, 2026

New maintenance updates are available for supported Databricks Runtime versions. These updates include bug fixes, security patches, and performance improvements. For details, see:

Google Drive connector (Beta)​

January 23, 2026

The standard Google Drive connector in Lakeflow Connect allows you ingest Google Drive files into Databricks. You can use read_files, spark.read, COPY INTO, and Auto Loader to create Spark DataFrames, materialized views, and streaming tables, enabling you to build custom pipelines for common file ingestion use cases. See Ingest Google Drive files into Databricks.

You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs​

January 20, 2026

Serverless jobs now support custom base environments defined with YAML files for Python, Python wheel, and notebook tasks. For notebook tasks, you can either select a custom base environment in the job’s environment configuration or use the notebook’s own environment settings, which support both workspace environments and custom base environments.

For more information, see Manage serverless base environments.

Databricks Runtime 18.0 is now GA​

January 15, 2026

Databricks Runtime 18.0 is now generally available. See Databricks Runtime 18.0 and Databricks Runtime 18.0 for Machine Learning.

Ingest Salesforce formula fields incrementally (Beta)​

January 13, 2026

By default, Lakeflow Connect doesn't ingest Salesforce formula fields incrementally. Instead, it takes a snapshot of these fields on each pipeline run, then joins them with the rest of the table. However, you can now enable incremental formula field ingestion, which often significantly improves performance and reduces costs. See Ingest Salesforce formula fields incrementally.

Row filtering for managed ingestion connectors (Beta)​

January 13, 2026

Lakeflow Connect now offers row filtering for managed ingestion connectors to improve performance and minimize data duplication. Row filtering applies conditions similar to a SQL WHERE clause, allowing you to ingest only the data you need from your source systems.

This feature is available for the Google Analytics, Salesforce, and ServiceNow connectors.

See Select rows to ingest.

OpenAI GPT-5.1 Codex Max and Codex Mini now available as Databricks-hosted models​

January 12, 2026

Mosaic AI Model Serving now supports OpenAI GPT-5.1 Codex Max and GPT-5.1 Codex Mini as Databricks-hosted models. These code-specialized models excel at code generation, refactoring, and software engineering tasks. You can access these models using Foundation Model APIs pay-per-token.

Customers are responsible for ensuring their compliance with the terms of OpenAI's Acceptable Use Policy.

Databricks Runtime maintenance updates (01/09)​

January 9, 2026

New maintenance updates are available for supported Databricks Runtime versions. These updates include bug fixes, security patches, and performance improvements. For details, see:

Create skills for Databricks Assistant​

January 6, 2026

You can now create skills to extend Databricks Assistant in agent mode with specialized capabilities for domain-specific tasks. User skills follow the open Agent Skills standard and are automatically loaded when relevant.

See Extend the Assistant with agent skills.

Automatic email notifications for expiring personal access tokens (GA)​

January 6, 2026

Automatic email notifications for expiring personal access tokens are now generally available. For more information, see Set the maximum lifetime of new personal access tokens.