DatriseAI-first ETL

Confluence to Holistics Integration

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

How Datrise loads Confluence into Holistics

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

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Confluence: Team wiki and documentation workspace.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Confluence entities map to Holistics

Confluence entityHolistics objectNotes
spacesconfluence_spacesid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

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

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

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

Related pipelines

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