Pendo → MongoDB
AI-first ETL from Pendo into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into MongoDB
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account 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
Pendo: Product analytics and in-app guidance for SaaS teams.
MongoDB: Document database for flexible schemas.
How Pendo entities map to MongoDB
| Pendo entity | MongoDB object | Notes |
|---|---|---|
| events | pendo_events | BSON Date events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo'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 Pendo 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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Early access
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