DatriseAI-first ETL

Confluence to GoodData Integration

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

How Datrise loads Confluence into GoodData

Datrise syncs Confluence's spaces, pages, blog posts, comments, attachments, and page versions into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Confluence: Team wiki and documentation workspace.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Confluence entities map to GoodData

Confluence entityGoodData 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 GoodData?

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 GoodData types.

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

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

Related pipelines

Early access

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