Mailjet SMS to MongoDB Integration
AI-first ETL from Mailjet SMS into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mailjet SMS into MongoDB
Datrise syncs Mailjet SMS's SMS messages, recipients, delivery statuses, senders, campaigns, and costs 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 SMS: SMS delivery and message status tracking.
MongoDB: Document database for flexible schemas.
How Mailjet SMS entities map to MongoDB
| Mailjet SMS entity | MongoDB object | Notes |
|---|---|---|
| SMS messages | mailjet_sms_sms_messages | id PK · custom fields → native nested documents |
| recipients | mailjet_sms_recipients | id PK · linked to mailjet_sms_sms_messages |
| delivery statuses | mailjet_sms_delivery_statuses | BSON Date events |
| senders | mailjet_sms_senders | id PK · linked to mailjet_sms_sms_messages |
FAQ
How does Datrise handle Mailjet SMS'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 SMS 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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