DatriseAI-first ETL

Confluence to Yellowfin Integration

AI-first ETL from Confluence into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Confluence into Yellowfin

Datrise syncs Confluence's spaces, pages, blog posts, comments, attachments, and page versions into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Confluence: Team wiki and documentation workspace.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Confluence entities map to Yellowfin

Confluence entityYellowfin objectNotes
spacesconfluence_spacesid PK · custom fields → flattened columns
pagesconfluence_pagesid PK · linked to confluence_spaces
blog postsconfluence_blog_postsid PK · linked to confluence_spaces
commentsconfluence_commentsid PK · linked to confluence_spaces

FAQ

How does Datrise handle Confluence's custom fields in Yellowfin?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.

How does the Confluence to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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