Use the Databricks (REST APIs) connector to process and analyze big data workloads.
Integrating your application with Databricks (REST APIs) lets you use these operations in an automation. It exposes 11 actions, listed below. Add the connector from the Connections area, authenticate, then select its operations in the automation builder. Capabilities: actions.
Authentication
Before you begin, make sure you have the following information:
Connection Name: Choose a meaningful name for your connection. This name helps you identify the connection within your application or integration settings.
Authentication Type: Databricks (REST APIs) supports Credentials authentication.
Obtaining Your Personal Access Token
Log in to your Databricks workspace.
Click your username in the top bar and select Settings.
Click Developer in the left-hand menu.
Next to Access tokens, click Manage.
Click Generate new token.
Enter a name for the token, set its lifetime in days, and click Generate.
Copy the generated token and store it securely — Databricks will not show it again.
Actions
Action Name | Description |
|---|---|
Chat Completions | Creates chat completions with Databricks |
Foundation model (Generic) | Generates foundation model outputs from Databricks |
Generate embeddings | Generates embeddings from Databricks |
Get Genie query result | Gets the SQL query result (columns + rows) for a Genie message's query attachment in Databricks |
Get trace | Gets a single MLflow trace by its ID in Databricks |
List genie conversation messages | Lists messages (Q&A turns) in a genie conversation in Databricks |
List genie conversations | Lists conversations (sessions) in a genie space in Databricks |
List genie spaces (agents) | Lists AI/BI genie spaces (genie agents) the caller can access in Databricks |
List serving endpoints | Lists model serving endpoints in Databricks |
Search traces | Searches MLflow traces for a serving endpoint's experiment in Databricks |
Stream Generate Content (Generic) | Stream generate content from Databricks |