Google Drive → MongoDB
AI-first ETL from Google Drive into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into MongoDB
Datrise syncs Google Drive's files, folders, permissions, and revision metadata 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
Google Drive: Cloud file storage often used for operational exports.
MongoDB: Document database for flexible schemas.
How Google Drive entities map to MongoDB
| Google Drive entity | MongoDB object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → native nested documents |
| folders | google_drive_folders | id PK · linked to google_drive_files |
| permissions | google_drive_permissions | id PK · linked to google_drive_files |
| revision metadata | google_drive_revision_metadata | id PK · linked to google_drive_files |
FAQ
How does Datrise handle Google Drive'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 Google Drive 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 Google Drive
- Google Drive → Supabase
- Google Drive → Neon
- Google Drive → PlanetScale
- Google Drive → Amazon DynamoDB
- Google Drive → Looker
- Google Drive → Looker Studio
- Google Drive → Microsoft Power BI
- Google Drive → Tableau
- Google Drive → Apache Superset
- Google Drive → Metabase
- Google Drive → Amazon QuickSight
- Google Drive → Domo
Early access
Connect Google Drive 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.