Databricks
Use the Databricks node to automate work in Databricks, and integrate Databricks with other applications. n8n has built-in support for a wide range of Databricks features, including executing SQL queries, managing Unity Catalog objects, querying ML model serving endpoints, and working with vector search indexes.
On this page, you'll find a list of operations the Databricks node supports and links to more resources.
Credentials
Refer to Databricks credentials for guidance on setting up authentication.
This node can be used as an AI tool
This node can be used to enhance the capabilities of an AI agent. When used in this way, many parameters can be set automatically, or with information directed by AI - find out more in the AI tool parameters documentation.
Operations
Databricks SQL
Execute Query
File
Create Directory
Delete Directory
Delete File
Download File
Get File Metadata
List Directory
Upload File
Genie
Create Conversation Message
Execute Message SQL Query
Get Conversation Message
Get Genie Space
Get Query Results
Start Conversation
Model Serving
Query Endpoint
Unity Catalog
Create Catalog
Create Function
Create Volume
Delete Catalog
Delete Function
Delete Volume
Get Catalog
Get Function
Get Table
Get Volume
List Catalogs
List Functions
List Tables
List Volumes
Update Catalog
Vector Search
Create Index
Get Index
List Indexes
Query Index
Templates and examples
Browse Databricks node documentation integration templates or search all templates
Related resources
Refer to Databricks' REST API documentation for details about their API.
If this node doesn't support the operation you want to do, you can use the HTTP Request node to call the service's API.
You can use the credential you created for this service in the HTTP Request node:
In the HTTP Request node, select Authentication > Predefined Credential Type.
Select the service you want to connect to.
Select your credential.
Refer to Custom API operations for more information.
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