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Use Databricks as a destination in Mage to load structured data into your Databricks workspace. Mage integrates with Databricks SQL warehouses and uses Unity Catalog for table management. This destination is ideal for exporting transformed pipeline data to Databricks for analytics, ML workloads, or data lakehouse operations.

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Required Configuration

Provide the following credentials when configuring Databricks as a destination:

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Optional Configuration

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Notes

  • Unity Catalog: Set catalog to your Unity Catalog name. This is an optional field for table management in Databricks.
  • Access Token: Generate a personal access token from your Databricks workspace settings.
  • HTTP Path: Find the HTTP path in your SQL warehouse or cluster connection details.
  • Permissions: Ensure your access token has permissions to create schemas and write to tables in the specified catalog and schema.