DatriseAI-first ETL

Chargebee MongoDB

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

How Datrise loads Chargebee into MongoDB

Datrise syncs Chargebee's subscriptions, invoices, customers, plans, and revenue 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

Chargebee: Subscription billing and revenue operations platform.

MongoDB: Document database for flexible schemas.

How Chargebee entities map to MongoDB

Chargebee entityMongoDB objectNotes
subscriptionschargebee_subscriptionsid PK · custom fields → native nested documents
invoiceschargebee_invoicesid PK · linked to chargebee_subscriptions
customerschargebee_customersid PK · linked to chargebee_subscriptions
planschargebee_plansid PK · linked to chargebee_subscriptions

FAQ

How does Datrise handle Chargebee'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 Chargebee 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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