Databricks Integration
Connect Databricks for lakehouse analytics, ML model serving, and data pipeline integration.
What you can automate with Databricks.
Connect Databricks events to AI agent workflows with pre-built triggers and actions.
Data types available through this integration.
How enterprises use Databricks with assistents.
Lakehouse BI
Agents query Databricks lakehouse to answer business questions in natural language.
ML Model Operations
Monitor model performance and trigger retraining from agent workflows.
Data Pipeline Monitoring
Agents track job runs and alert on failures with root cause analysis.
Frequently asked questions.
Does this support Databricks Unity Catalog?
Yes. The connector works with Unity Catalog for centralized governance and data discovery.
Can agents call ML models served on Databricks?
Yes. Agents can invoke model serving endpoints for real-time predictions.
How is Databricks authentication handled?
The integration uses Databricks personal access tokens or service principals with OAuth.
Explore more integrations.
Power your Databricks integration with AI agents.
Agent Builder
Create AI agents that connect to Databricks with natural language — no code required.
Workflow Builder
Build multi-step workflows that automate actions across Databricks and other systems.
Agent Governance
Enforce permissions, audit trails, and compliance on every agent action in Databricks.
Ready to connect Databricks?
Schedule a personalized demo to see how assistents’s AI agents integrate with Databricks for your organization.