Confluence connector

The managed Confluence connector in Lakeflow Connect allows you to ingest data from Confluence into Azure Databricks.

What to know before you start

Topic Why it matters
Azure Databricks user persona The workflow depends on your Azure Databricks user persona:
  • Single-user: An admin user creates a Unity Catalog connection and an ingestion pipeline.
  • Multi-user: An admin user creates a connection for non-admin users to create pipelines with.
Authentication method The steps to create a connection depend on the authentication method you choose. For supported methods, see Authentication methods.
Interface The steps to create a pipeline depend on the interface.
Ingestion frequency The pipeline schedule depends on your latency and cost requirements.
Common patterns Depending on your ingestion needs, the pipeline might use configurations like history tracking, column selection, and row filtering. Supported configurations vary by connector. See Feature availability.

Start ingesting from Confluence

The following table provides an overview of the end-to-end Confluence ingestion flow, based on user type:

User Steps
Admin
Non-admin Use any supported interface to create a pipeline from an existing connection. See Ingest data from Confluence.
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