DatriseAI-first ETL

Commercetools to MongoDB Integration

AI-first ETL from Commercetools into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Commercetools into MongoDB

Datrise syncs Commercetools's orders, products, carts, customers, inventory, and prices 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

Commercetools: Composable commerce platform and catalog APIs.

MongoDB: Document database for flexible schemas.

How Commercetools entities map to MongoDB

Commercetools entityMongoDB objectNotes
orderscommercetools_ordersid PK · custom fields → native nested documents
productscommercetools_productsid PK · linked to commercetools_orders
cartscommercetools_cartsid PK · linked to commercetools_orders
customerscommercetools_customersid PK · linked to commercetools_orders

FAQ

How does Datrise handle Commercetools'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 Commercetools 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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