DatriseAI-first ETL

Recharge MongoDB

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

How Datrise loads Recharge into MongoDB

Datrise syncs Recharge's subscriptions, charges, customers, plans, and churn events 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

Recharge: Subscription commerce for Shopify and recurring billing.

MongoDB: Document database for flexible schemas.

How Recharge entities map to MongoDB

Recharge entityMongoDB objectNotes
subscriptionsrecharge_subscriptionsid PK · custom fields → native nested documents
chargesrecharge_chargesid PK · linked to recharge_subscriptions
customersrecharge_customersid PK · linked to recharge_subscriptions
plansrecharge_plansid PK · linked to recharge_subscriptions

FAQ

How does Datrise handle Recharge'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 Recharge 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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