Microsoft Dataverse to MongoDB Integration
AI-first ETL from Microsoft Dataverse into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dataverse into MongoDB
Datrise syncs Microsoft Dataverse's tables, rows, columns, relationships, choice sets, and change tracking 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 Dataverse: Business data platform behind Dynamics and Power Apps.
MongoDB: Document database for flexible schemas.
How Microsoft Dataverse entities map to MongoDB
| Microsoft Dataverse entity | MongoDB object | Notes |
|---|---|---|
| tables | microsoft_dataverse_tables | id PK · custom fields → native nested documents |
| rows | microsoft_dataverse_rows | id PK · linked to microsoft_dataverse_tables |
| columns | microsoft_dataverse_columns | id PK · linked to microsoft_dataverse_tables |
| relationships | microsoft_dataverse_relationships | id PK · linked to microsoft_dataverse_tables |
FAQ
How does Datrise handle Microsoft Dataverse'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 Dataverse 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 Dataverse
- Microsoft Dataverse → Supabase
- Microsoft Dataverse → Neon
- Microsoft Dataverse → PlanetScale
- Microsoft Dataverse → Amazon DynamoDB
- Microsoft Dataverse → Looker
- Microsoft Dataverse → Looker Studio
- Microsoft Dataverse → Microsoft Power BI
- Microsoft Dataverse → Tableau
- Microsoft Dataverse → Apache Superset
- Microsoft Dataverse → Metabase
- Microsoft Dataverse → Amazon QuickSight
- Microsoft Dataverse → Domo
Early access
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