Google Analytics 360 → MongoDB
AI-first ETL from Google Analytics 360 into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics 360 into MongoDB
Datrise syncs Google Analytics 360'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
Google Analytics 360: SaaS or API data source for analytics and warehouse sync.
MongoDB: Document database for flexible schemas.
How Google Analytics 360 entities map to MongoDB
| Google Analytics 360 entity | MongoDB object | Notes |
|---|---|---|
| records | google_analytics_360_records | id PK · custom fields → native nested documents |
| events | google_analytics_360_events | BSON Date events |
| configuration objects | google_analytics_360_configuration_objects | id PK · linked to google_analytics_360_records |
FAQ
How does Datrise handle Google Analytics 360'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 360 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 360
- Google Analytics 360 → Supabase
- Google Analytics 360 → Neon
- Google Analytics 360 → PlanetScale
- Google Analytics 360 → Amazon DynamoDB
- Google Analytics 360 → Looker
- Google Analytics 360 → Looker Studio
- Google Analytics 360 → Microsoft Power BI
- Google Analytics 360 → Tableau
- Google Analytics 360 → Apache Superset
- Google Analytics 360 → Metabase
- Google Analytics 360 → Amazon QuickSight
- Google Analytics 360 → Domo
More sources for MongoDB
- Google Cloud SQL → MongoDB
- Google Cloud SQL Postgresql → MongoDB
- Google Cloud Storage F → MongoDB
- Google Directory → MongoDB
- Google Ecommerce → MongoDB
- Google Pagespeed Insights → MongoDB
- Google Webfonts → MongoDB
- Greenhouse → MongoDB
- Gridly → MongoDB
- Gutendex → MongoDB
- Harness → MongoDB
- Harvest Forecast → MongoDB
Early access
Connect Google Analytics 360 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.