DatriseAI-first ETL

Confluence to Spreadsheets Integration

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

How Datrise loads Confluence into Spreadsheets

Datrise syncs Confluence's spaces, pages, blog posts, comments, attachments, and page versions into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Confluence: Team wiki and documentation workspace.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Confluence entities map to Spreadsheets

Confluence entitySpreadsheets objectNotes
spacesconfluence_spacesid PK · custom fields → JSON-stringified cells for nested fields
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 Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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