DatriseAI-first ETL

Braze to MongoDB Integration

AI-first ETL from Braze into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads Braze into MongoDB

Datrise syncs Braze's users, campaigns, canvases, message events, segments, and custom attributes 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

Braze: Cross-channel customer engagement platform.

MongoDB: Document database for flexible schemas.

How Braze entities map to MongoDB

Braze entityMongoDB objectNotes
usersbraze_usersid PK · custom fields → native nested documents
campaignsbraze_campaignsid PK · linked to braze_users
canvasesbraze_canvasesid PK · linked to braze_users
message eventsbraze_message_eventsBSON Date events

FAQ

How does Datrise handle Braze'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 Braze 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

Early access

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