Firebase Realtime Database to MongoDB Integration

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

How Datrise loads Firebase Realtime Database into MongoDB

Datrise syncs Firebase Realtime Database's nodes, child paths, JSON values, write events, references, and security rules 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

Firebase Realtime Database: JSON tree database with realtime synchronization.

MongoDB: Document database for flexible schemas.

How Firebase Realtime Database entities map to MongoDB

Firebase Realtime Database entity	MongoDB object	Notes
nodes	`firebase_realtime_database_nodes`	id PK · custom fields → native nested documents
child paths	`firebase_realtime_database_child_paths`	id PK · linked to firebase_realtime_database_nodes
JSON values	`firebase_realtime_database_json_values`	id PK · linked to firebase_realtime_database_nodes
write events	`firebase_realtime_database_write_events`	BSON Date events

FAQ

How does Datrise handle Firebase Realtime Database'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 Firebase Realtime Database 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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