Mailjet to MongoDB Integration
AI-first ETL from Mailjet into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mailjet into MongoDB
Datrise syncs Mailjet's messages, contacts, campaigns, delivery events, lists, and templates 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
Mailjet: Email delivery across transactional and marketing sends.
MongoDB: Document database for flexible schemas.
How Mailjet entities map to MongoDB
| Mailjet entity | MongoDB object | Notes |
|---|---|---|
| messages | mailjet_messages | id PK · custom fields → native nested documents |
| contacts | mailjet_contacts | id PK · linked to mailjet_messages |
| campaigns | mailjet_campaigns | id PK · linked to mailjet_messages |
| delivery events | mailjet_delivery_events | BSON Date events |
FAQ
How does Datrise handle Mailjet'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 Mailjet to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
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