Front to MongoDB Integration
AI-first ETL from Front into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Front into MongoDB
Datrise syncs Front's conversations, messages, contacts, inboxes, tags, and teammates 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
Front: Shared inbox for team email and messaging.
MongoDB: Document database for flexible schemas.
How Front entities map to MongoDB
| Front entity | MongoDB object | Notes |
|---|---|---|
| conversations | frontapp_conversations | id PK · custom fields → native nested documents |
| messages | frontapp_messages | id PK · linked to frontapp_conversations |
| contacts | frontapp_contacts | id PK · linked to frontapp_conversations |
| inboxes | frontapp_inboxes | id PK · linked to frontapp_conversations |
FAQ
How does Datrise handle Front'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 Front 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
More destinations for Front
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