Desk Com → MongoDB
AI-first ETL from Desk Com into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Desk Com into MongoDB
Datrise syncs Desk Com's records, events, and configuration objects 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
Desk Com: SaaS or API data source for analytics and warehouse sync.
MongoDB: Document database for flexible schemas.
How Desk Com entities map to MongoDB
| Desk Com entity | MongoDB object | Notes |
|---|---|---|
| records | desk_com_records | id PK · custom fields → native nested documents |
| events | desk_com_events | BSON Date events |
| configuration objects | desk_com_configuration_objects | id PK · linked to desk_com_records |
FAQ
How does Datrise handle Desk Com'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 Desk Com 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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