Auth0 → MongoDB
AI-first ETL from Auth0 into MongoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Auth0 into MongoDB
Datrise syncs Auth0's authentication logs, sign-ins, user identity changes, and security events 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
Auth0: Identity source for authentication and sign-in telemetry.
MongoDB: Document database for flexible schemas.
How Auth0 entities map to MongoDB
| Auth0 entity | MongoDB object | Notes |
|---|---|---|
| authentication logs | auth0_authentication_logs | id PK · custom fields → native nested documents |
| sign-ins | auth0_sign_ins | id PK · linked to auth0_authentication_logs |
| user identity changes | auth0_user_identity_changes | BSON Date events |
| security events | auth0_security_events | BSON Date events |
FAQ
How does Datrise handle Auth0'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 Auth0 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 Auth0
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