Intercom → MongoDB
AI-first ETL from Intercom into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Intercom into MongoDB
Datrise syncs Intercom's conversations, customer attributes, inbox events, and support engagement 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
Intercom: Customer messaging platform with CRM-style account and conversation context.
MongoDB: Document database for flexible schemas.
How Intercom entities map to MongoDB
| Intercom entity | MongoDB object | Notes |
|---|---|---|
| conversations | intercom_conversations | id PK · custom fields → native nested documents |
| customer attributes | intercom_customer_attributes | id PK · linked to intercom_conversations |
| inbox events | intercom_inbox_events | BSON Date events |
| support engagement | intercom_support_engagement | id PK · linked to intercom_conversations |
FAQ
How does Datrise handle Intercom'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 Intercom 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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