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databricks Platform · Updated Dec 16, 2025

Confluence connector (Beta)

The fully managed Confluence connector in Lakeflow Connect enables you to ingest Confluence spaces, pages, attachments, blogposts, labels, and classification levels into Databricks.

What it does

The fully managed Confluence connector in Lakeflow Connect enables you to ingest Confluence spaces, pages, attachments, blogposts, labels, and classification levels into Databricks. This page describes how to configure OAuth user to machine (U2M) authentication for Confluence ingestion into Databricks. Prerequisites To ingest from Confluence, you need the following: A Confluence account with at least View access to the spaces and pages you want to ingest.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Architecture
Databricks Platform → Platform
In short

The fully managed Confluence connector in Lakeflow Connect enables you to ingest Confluence spaces, pages, attachments, blogposts, labels, and classification levels into Databricks. This page describes how to configure OAuth user to machine (U2M)…

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Key takeaway
The fully managed Confluence connector in Lakeflow Connect enables you to ingest Confluence spaces, pages, attachments, blogposts, labels, and classification levels into Databricks.
2025-12-16-confluence-connector-beta Generated by the Databricks Updates Agent · browse all updates