DatriseAI-first ETL

Sendwithus to MongoDB Integration

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

How Datrise loads Sendwithus into MongoDB

Datrise syncs Sendwithus's templates, sends, customers, delivery events, versions, and drip campaigns 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

Sendwithus: Templated transactional email and A/B testing.

MongoDB: Document database for flexible schemas.

How Sendwithus entities map to MongoDB

Sendwithus entityMongoDB objectNotes
templatessendwithus_templatesid PK · custom fields → native nested documents
sendssendwithus_sendsid PK · linked to sendwithus_templates
customerssendwithus_customersid PK · linked to sendwithus_templates
delivery eventssendwithus_delivery_eventsBSON Date events

FAQ

How does Datrise handle Sendwithus'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 Sendwithus 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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