Amplitude → MongoDB
AI-first ETL from Amplitude into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Amplitude into MongoDB
Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves 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
Amplitude: Product analytics source for events, funnels, and cohorts.
MongoDB: Document database for flexible schemas.
How Amplitude entities map to MongoDB
| Amplitude entity | MongoDB object | Notes |
|---|---|---|
| product events | amplitude_product_events | BSON Date events |
| user properties | amplitude_user_properties | id PK · linked to amplitude_product_events |
| funnels | amplitude_funnels | id PK · linked to amplitude_product_events |
| cohorts | amplitude_cohorts | id PK · linked to amplitude_product_events |
FAQ
How does Datrise handle Amplitude'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 Amplitude to MongoDB sync stay up to date?
It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.
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