Google Analytics → MongoDB
AI-first ETL from Google Analytics into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into MongoDB
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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 Analytics: Web and product analytics for behavior and traffic insights.
MongoDB: Document database for flexible schemas.
How Google Analytics entities map to MongoDB
| Google Analytics entity | MongoDB object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → native nested documents |
| events | google_analytics_events | BSON Date events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics'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 Analytics 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 Analytics
- Google Analytics → Supabase
- Google Analytics → Neon
- Google Analytics → PlanetScale
- Google Analytics → Amazon DynamoDB
- Google Analytics → Looker
- Google Analytics → Looker Studio
- Google Analytics → Microsoft Power BI
- Google Analytics → Tableau
- Google Analytics → Apache Superset
- Google Analytics → Metabase
- Google Analytics → Amazon QuickSight
- Google Analytics → Domo
Early access
Connect Google Analytics 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.