Real-time
Two-way sync
Changes in Firebase or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Database
Firebase to MongoDB integration — real-time, two-way sync
Keep Firebase and MongoDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Firebase and MongoDB
Keep Firebase and MongoDB synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Firebase and MongoDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- Replace one-off Cloud Functions export code with managed, continuous sync.
- Sync Firestore user and account documents into a CRM so go-to-market teams see live product data.
- Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
- Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between Firebase and MongoDB
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Firebase objects | MongoDB objects | |
|---|---|---|
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Indexes Keep lookups by sync key fast on large collections. | |
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Views Read-only aggregation-defined sources for filtered sync datasets. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Change streams The oplog-backed event feed that powers real-time change capture. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Databases Logical groupings of collections that scope a sync connection. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. |
What ships with Firebase ⇄ MongoDB
Connect Firebase and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Firebase or MongoDB record.
Observability
Monitoring
Track your Firebase ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Firebase and MongoDB.
How the Firebase and MongoDB connectors work
Firebase
- Integration surface
- REST and gRPC APIs, typically accessed through the Firebase Admin SDK
- Authentication
- Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts
- Change detection
- Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes
- Capabilities
- read · write
- Rate limits
- Subject to Firestore's documented operation quotas and per-document write throughput limits
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Firebase to MongoDB — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Firebase and MongoDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Firebase
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and MongoDB objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Firebase ⇄ MongoDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Firebase MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and MongoDB: authenticate both systems, choose the objects to sync (such as Firebase's Authentication Users and Cloud Storage Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Firebase and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Firebase: Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes. On MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Firebase side: Cloud Functions Triggers, Firestore Collections, Firestore Documents, Subcollections, plus custom fields where Firebase exposes them. On the MongoDB side: Embedded documents and arrays, Indexes, Views, Change streams. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Firebase and MongoDB: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
SECURITY
Security teams love Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Firebase and MongoDB.
Popular · 8 of 386
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Firebase ⇄ DuckDB -
Firebase ⇄ Elasticsearch -
Firebase ⇄ Google Cloud Spanner - Firebase ⇄ Google Cloud SQL
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MongoDB ⇄ Amazon Lightsail -
MongoDB ⇄ Apache Cassandra -
MongoDB ⇄ Azure Cosmos DB -
MongoDB ⇄ Azure SQL Database
No integrations match .
