Linnworks to MongoDB Integration

How Datrise loads Linnworks into MongoDB

Datrise syncs Linnworks's orders, stock items, channels, shipments, suppliers, and inventory levels 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

Linnworks: Multichannel order and inventory management.

MongoDB: Document database for flexible schemas.

How Linnworks entities map to MongoDB

Linnworks entity	MongoDB object	Notes
orders	`linnworks_orders`	id PK · custom fields → native nested documents
stock items	`linnworks_stock_items`	id PK · linked to linnworks_orders
channels	`linnworks_channels`	id PK · linked to linnworks_orders
shipments	`linnworks_shipments`	id PK · linked to linnworks_orders

FAQ

How does Datrise handle Linnworks'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 Linnworks 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

Early access

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