Genie Agents enhancements

UpdateSep 10, 2026VerifiedAdded Sep 22, 2026

- Increased data source limit : Each Genie Agent supports up to 50 tables, views, or metric views as data sources, up from 30. See Technical requirements and limits . Increased conversation limit : Each Genie Agent can store up to 200,000 conversations, up from 10,000. See Technical requirements and limits .

AI agents BI

Read Databricks's release notes

https://docs.databricks.com/aws/en/ai-bi/release-notes/2026#genie-agents-enhancements

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More AI/BI and Genie releases

AI/BI and GenieSep 10, 2026

Dashboard enhancements

- More Tableau calculations in /importBI : Importing Tableau reports with the /importBI Genie Code command now supports more cases of parameterized calculations. See Import BI files using Genie Code .

PreviewSQLGovernanceBISource

AI/BI and GenieSep 10, 2026

Databricks-provided MCP connectors for Genie One and Genie Code are generally available

Genie One and Genie Code can now use Databricks-provided MCP connectors for Google Drive, Gmail, Google Calendar, Microsoft 365, Atlassian, Slack, and GitHub to search and act on your company's tools while answering questions.

GAMCPGovernanceSecuritySource

AI/BI and GenieSep 10, 2026

Genie One enhancements

- Genie Code skills in Genie One (Beta) : Genie Code skills now appear and are turned on by default in Genie One. Turn individual skills on or off on the customization page. Backend steering : You can now send steering messages to Genie One while it's answering, so you can guide a response without waiting for it to finish.

BetaBIDeveloper toolsSource

AI/BI and GenieSep 9, 2026

Genie Code adds conversation controls

Genie Code now includes conversation controls that let you branch and revise a chat. You can fork a conversation into a new, independent thread from a point you choose, ask a quick side question with /btw without adding it to the thread, and edit an earlier message to regenerate the conversation from that point. See Branch and edit chats .

UpdateBIDeveloper toolsSource

AI/BI and GenieSep 14, 2026

Genie visualizations in Slack replies (Public Preview)

When a Genie response includes a chart, the visualization now appears as an image in the Slack reply. If you installed the Databricks Genie app for Slack previously, reinstall it to enable this. See Visualizations .

PreviewBISource

AI/BI and GenieSep 16, 2026

Account-only user access to Genie One (Beta)

Genie One now supports account-only users, so users in a registered identity provider can access account-level Genie One without being assigned to a workspace or granted consumer access . When enabled, eligible users are enrolled automatically. Unity Catalog continues to govern what each user can see. See Account-only user access to Genie One .

BetaGovernanceSecurityBISource

AI/BI and GenieSep 17, 2026

Dashboard enhancements and bug fixes

- Convert a SQL dataset to a local metric view : You can now convert a SQL dataset into a local metric view from the dataset's context menu, and Genie Code handles the conversion. See Local metric views and Use Genie Code for dashboard authoring .

UpdateSQLBISource

AI/BI and GenieSep 17, 2026

Skills in Genie One support multiple files and folders

A Genie One skill can now include multiple files and sub-folders, up to three folders deep and 50 files or folders per skill. Skills can load text files only. See User skills .

UpdateBISource

Also shipped on Sep 10, 2026

Google Cloud BigQuerySep 10, 2026

BigQuery conversational analytics adds ML.CORRELATION in preview

Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.

PreviewSQLSource

Google Cloud BigQuerySep 10, 2026

BigQuery ML.METRICS evaluates predictions without a stored model

The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.

PreviewSQLGovernanceObservabilitySource

Google Cloud BigQuerySep 10, 2026

You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data

You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .

PreviewSource

Google Cloud BigQuerySep 10, 2026

BigQuery Data Engineering Agent integrates with BigQuery Graph

The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.

GAAI agentsSQLData integrationSource

Snowflake SnowflakeSep 10, 2026

Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)

Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.

GAStreamingSource

Snowflake SnowflakeSep 10, 2026

External secret providers (Preview)

External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .

PreviewSQLSecurityDeveloper toolsSource