DocsIntegrationsDatabricks
databricks
Data Source

Databricks

Run SQL queries against Databricks SQL warehouses from your workflows

Databricks is a unified data intelligence platform built on Apache Spark. CipherSense Agents connects to Databricks SQL using a personal access token and the SQL warehouse HTTP path, letting your workflows run queries against Delta tables and views.

Official documentation

Setup

1

Create a personal access token

In your Databricks workspace: click your username > Settings > Developer > Access tokens > Generate new token. Give it a descriptive name and set an expiry.

Databricks PAT Docs
2

Find your SQL warehouse HTTP path

In your Databricks workspace: SQL > SQL Warehouses > select your warehouse > Connection details. Copy the Server hostname and HTTP path.

3

Add the integration in CipherSense Agents

Go to Project > Integrations > Add Integration > Databricks. Enter your Server hostname, HTTP path, and personal access token. Click Save & Test.

Connection Fields

Fields required when adding this integration in your Project › Integrations.

FieldRequiredDescription
Workspace URL
Required
Full URL of your Databricks workspace. Found in your browser address bar when logged in.
Personal Access Token
Required
Your Databricks personal access token from User Settings > Developer > Access Tokens.
SQL Warehouse HTTP Path
Required
HTTP path from your SQL Warehouse connection details in the Databricks UI.

Common Use Cases

Query Delta Lake tables for AI analyticsFetch ML feature tables for model input workflowsRead processed event data for trend analysis agentsPull batch outputs from Spark jobs for AI enrichment

Ready to connect Databricks?

Add this integration from your project dashboard and wire it into a workflow.