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Lakehouse BI
Agents query Databricks lakehouse to answer business questions in natural language.
Connect Databricks for lakehouse analytics, ML model serving, and data pipeline integration.
Connect Databricks events to AI agent workflows with pre-built triggers and actions.
Fires when a Databricks job run finishes.
Triggers when data in a Delta table changes.
Fires when a new ML model is registered in the registry.
Triggers when a Databricks job encounters an error.
Fires when a compute cluster becomes active.
Executes a SQL query via Databricks SQL Warehouse.
Starts a Databricks job run.
Runs a Databricks notebook with parameters.
Ingests data into a Delta table.
Calls a served ML model for predictions.
Agents query Databricks lakehouse to answer business questions in natural language.
Monitor model performance and trigger retraining from agent workflows.
Agents track job runs and alert on failures with root cause analysis.
Yes. The connector works with Unity Catalog for centralized governance and data discovery.
Yes. Agents can invoke model serving endpoints for real-time predictions.
The integration uses Databricks personal access tokens or service principals with OAuth.
Create AI agents that connect to Databricks with natural language — no code required.
Learn moreBuild multi-step workflows that automate actions across Databricks and other systems.
Learn moreEnforce permissions, audit trails, and compliance on every agent action in Databricks.
Learn moreSchedule a personalized demo to see how assistents’s AI agents integrate with Databricks for your organization.