MoEngage → MongoDB
AI-first ETL from MoEngage into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads MoEngage into MongoDB
Datrise syncs MoEngage's engagement events, campaign performance, and retention behavior signals 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
MoEngage: Customer engagement source for campaigns and retention metrics.
MongoDB: Document database for flexible schemas.
How MoEngage entities map to MongoDB
| MoEngage entity | MongoDB object | Notes |
|---|---|---|
| engagement events | moengage_engagement_events | BSON Date events |
| campaign performance | moengage_campaign_performance | id PK · linked to moengage_engagement_events |
| retention behavior signals | moengage_retention_behavior_signals | id PK · linked to moengage_engagement_events |
FAQ
How does Datrise handle MoEngage'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 MoEngage 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
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