Microsoft Dynamics 365 → MongoDB
AI-first ETL from Microsoft Dynamics 365 into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dynamics 365 into MongoDB
Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data 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 Dynamics 365: Microsoft enterprise CRM and ERP suite.
MongoDB: Document database for flexible schemas.
How Microsoft Dynamics 365 entities map to MongoDB
| Microsoft Dynamics 365 entity | MongoDB object | Notes |
|---|---|---|
| accounts | microsoft_dynamics_accounts | id PK · custom fields → native nested documents |
| opportunities | microsoft_dynamics_opportunities | id PK · linked to microsoft_dynamics_accounts |
| activities | microsoft_dynamics_activities | BSON Date events |
| enterprise CRM process data | microsoft_dynamics_enterprise_crm_process_data | id PK · linked to microsoft_dynamics_accounts |
FAQ
How does Datrise handle Microsoft Dynamics 365'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 Dynamics 365 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 Dynamics 365
- Microsoft Dynamics 365 → Supabase
- Microsoft Dynamics 365 → Neon
- Microsoft Dynamics 365 → PlanetScale
- Microsoft Dynamics 365 → Amazon DynamoDB
- Microsoft Dynamics 365 → Looker
- Microsoft Dynamics 365 → Looker Studio
- Microsoft Dynamics 365 → Microsoft Power BI
- Microsoft Dynamics 365 → Tableau
- Microsoft Dynamics 365 → Apache Superset
- Microsoft Dynamics 365 → Metabase
- Microsoft Dynamics 365 → Amazon QuickSight
- Microsoft Dynamics 365 → Domo
Early access
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