SAP → MongoDB
AI-first ETL from SAP into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads SAP into MongoDB
Datrise syncs SAP's finance, procurement, operations, and master-data entities 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
SAP: ERP source for finance, operations, and procurement entities.
MongoDB: Document database for flexible schemas.
How SAP entities map to MongoDB
| SAP entity | MongoDB object | Notes |
|---|---|---|
| finance | sap_finance | id PK · custom fields → native nested documents |
| procurement | sap_procurement | id PK · linked to sap_finance |
| operations | sap_operations | id PK · linked to sap_finance |
| master-data entities | sap_master_data_entities | id PK · linked to sap_finance |
FAQ
How does Datrise handle SAP'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 SAP to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
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