SHEET 01Data & Analytics IntegrationDK

Databricks Integration

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

Get a demo All integrations
  • Data & Analytics
  • < 10 min setup
  • Read + Write, Real-time
  • SOC 2
  • GDPR
  • HIPAA
DatabricksSOURCEDataSYNCAgentGOVERNEDActionsOUT
5Event triggers
5Agent actions
4Data types synced
< 10 minTime to connect
SHEET 02Triggers & ActionsI/O

What you can automate with Databricks

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

IN → Triggers5 events
  • TRG-01

    Job Completed

    Fires when a Databricks job run finishes.

  • TRG-02

    Table Updated

    Triggers when data in a Delta table changes.

  • TRG-03

    Model Registered

    Fires when a new ML model is registered in the registry.

  • TRG-04

    Job Failed

    Triggers when a Databricks job encounters an error.

  • TRG-05

    Cluster Started

    Fires when a compute cluster becomes active.

Actions → OUT5 actions
  • ACT-01

    Run SQL Query

    Executes a SQL query via Databricks SQL Warehouse.

  • ACT-02

    Trigger Job

    Starts a Databricks job run.

  • ACT-03

    Execute Notebook

    Runs a Databricks notebook with parameters.

  • ACT-04

    Load Data

    Ingests data into a Delta table.

  • ACT-05

    Query Model

    Calls a served ML model for predictions.

SHEET 03Data SyncedREAD + WRITE

Data types available through this integration

Databricks sync schemaRead + Write, Real-time
DS-01Delta Tables
DS-02Query Results
DS-03ML Models
DS-04Job Metadata
SHEET 04Use CasesFIELD

How enterprises use Databricks with assistents

UC-01Live

Lakehouse BI

Agents query Databricks lakehouse to answer business questions in natural language.

UC-02Live

ML Model Operations

Monitor model performance and trigger retraining from agent workflows.

UC-03Live

Data Pipeline Monitoring

Agents track job runs and alert on failures with root cause analysis.

SHEET 05Specification NotesFAQ

Questions about the Databricks integration

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.

SHEET 06Related IntegrationsLINKED

Explore more integrations

INT-01

Snowflake

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INT-02

BigQuery

Integrate Google BigQuery for large-scale data analytics, querying, and pipeline orchestration.

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INT-03

Redshift

Integrate Amazon Redshift for data warehousing, analytics queries, and pipeline orchestration.

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INT-04

PostgreSQL

Connect PostgreSQL databases for direct querying, data sync, and real-time change data capture.

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SHEET 07ProductsPRD-01..03

Power your Databricks integration with AI agents

PRD-01

Agent Builder

Create AI agents that connect to Databricks with natural language — no code required.

Learn more
PRD-02

Workflow Builder

Build multi-step workflows that automate actions across Databricks and other systems.

Learn more
PRD-03

Agent Governance

Enforce permissions, audit trails, and compliance on every agent action in Databricks.

Learn more
SHEET 08Sign-offREADY

Ready to connect Databricks?

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

Get a demo Explore platform
Connector
Databricks
Category
Data & Analytics
Sync
Read + Write, Real-time
Setup
< 10 min
Compliance
SOC 2 · GDPR · HIPAA