3PL Central to MongoDB Integration
AI-first ETL from 3PL Central into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into MongoDB
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses 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
3PL Central: Third-party logistics warehouse and order operations.
MongoDB: Document database for flexible schemas.
How 3PL Central entities map to MongoDB
| 3PL Central entity | MongoDB object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → native nested documents |
| receipts | tplcentral_receipts | id PK · linked to tplcentral_orders |
| inventory levels | tplcentral_inventory_levels | id PK · linked to tplcentral_orders |
| items | tplcentral_items | id PK · linked to tplcentral_orders |
FAQ
How does Datrise handle 3PL Central'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 3PL Central 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
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