Microsoft SharePoint to MongoDB Integration
AI-first ETL from Microsoft SharePoint into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft SharePoint into MongoDB
Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.
Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.
Ideal for document-oriented apps that want CRM data in their existing Mongo store.
Endpoints
Microsoft SharePoint: Document libraries and team site content.
MongoDB: Document database for flexible schemas.
How Microsoft SharePoint entities map to MongoDB
| Microsoft SharePoint entity | MongoDB object | Notes |
|---|---|---|
| sites | microsoft_sharepoint_sites | id PK · custom fields → native nested documents |
| lists | microsoft_sharepoint_lists | id PK · linked to microsoft_sharepoint_sites |
| list items | microsoft_sharepoint_list_items | id PK · linked to microsoft_sharepoint_sites |
| documents | microsoft_sharepoint_documents | id PK · linked to microsoft_sharepoint_sites |
FAQ
How does Datrise handle Microsoft SharePoint's custom fields in MongoDB?
Flexible values are stored as native nested documents, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MongoDB types.
How does the Microsoft SharePoint to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
Related pipelines
More destinations for Microsoft SharePoint
- Microsoft SharePoint → Supabase
- Microsoft SharePoint → Neon
- Microsoft SharePoint → PlanetScale
- Microsoft SharePoint → Amazon DynamoDB
- Microsoft SharePoint → Looker
- Microsoft SharePoint → Looker Studio
- Microsoft SharePoint → Microsoft Power BI
- Microsoft SharePoint → Tableau
- Microsoft SharePoint → Apache Superset
- Microsoft SharePoint → Metabase
- Microsoft SharePoint → Amazon QuickSight
- Microsoft SharePoint → Domo
Early access
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