Gong to MongoDB Integration
AI-first ETL from Gong into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Gong into MongoDB
Datrise syncs Gong's calls, transcripts, deals, users, trackers, and call topics 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
Gong: Revenue intelligence from recorded sales calls.
MongoDB: Document database for flexible schemas.
How Gong entities map to MongoDB
| Gong entity | MongoDB object | Notes |
|---|---|---|
| calls | gong_calls | id PK · custom fields → native nested documents |
| transcripts | gong_transcripts | id PK · linked to gong_calls |
| deals | gong_deals | id PK · linked to gong_calls |
| users | gong_users | id PK · linked to gong_calls |
FAQ
How does Datrise handle Gong'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 Gong 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 Gong
Early access
Connect Gong to MongoDB the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.