DatriseAI-first ETL

Microsoft SharePoint to Redash Integration

AI-first ETL from Microsoft SharePoint into Redash. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft SharePoint into Redash

Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Microsoft SharePoint: Document libraries and team site content.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Microsoft SharePoint entities map to Redash

Microsoft SharePoint entityRedash objectNotes
sitesmicrosoft_sharepoint_sitesid PK · custom fields → flattened columns for query results
listsmicrosoft_sharepoint_listsid PK · linked to microsoft_sharepoint_sites
list itemsmicrosoft_sharepoint_list_itemsid PK · linked to microsoft_sharepoint_sites
documentsmicrosoft_sharepoint_documentsid PK · linked to microsoft_sharepoint_sites

FAQ

How does Datrise handle Microsoft SharePoint's custom fields in Redash?

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

How does the Microsoft SharePoint to Redash sync stay up to date?

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

Related pipelines

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