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Databricks Integration

Connect Databricks for lakehouse analytics, ML model serving, and data pipeline integration.

Data & Analytics< 10 min setupRead + Write, Real-timeSOC 2GDPRHIPAA
.// Triggers & Actions

What you can automate with Databricks.

Connect Databricks events to AI agent workflows with pre-built triggers and actions.

Triggers
Job Completed
Fires when a Databricks job run finishes.
Table Updated
Triggers when data in a Delta table changes.
Model Registered
Fires when a new ML model is registered in the registry.
Job Failed
Triggers when a Databricks job encounters an error.
Cluster Started
Fires when a compute cluster becomes active.
Actions
Run SQL Query
Executes a SQL query via Databricks SQL Warehouse.
Trigger Job
Starts a Databricks job run.
Execute Notebook
Runs a Databricks notebook with parameters.
Load Data
Ingests data into a Delta table.
Query Model
Calls a served ML model for predictions.
.// Data Synced

Data types available through this integration.

Delta Tables
Query Results
ML Models
Job Metadata
.// Use Cases

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.

.// FAQ

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.

.// Get Started

Ready to connect Databricks?

Schedule a personalized demo to see how assistentss AI agents integrate with Databricks for your organization.