Real-time
Two-way sync
Changes in Firebase or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Database
Firebase to PostgreSQL integration — real-time, two-way sync
Keep Firebase and PostgreSQL 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 PostgreSQL
Keep Firebase and PostgreSQL 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 PostgreSQL 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
- Sync Firestore user and account documents into a CRM so go-to-market teams see live product data.
- Mirror Firestore collections into Postgres or a warehouse to run SQL analytics on app data.
- Let an application write to its own database and have those rows appear as records in business systems in near real time
- Consolidate data from several microservice databases into one operational Postgres store
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.
Cross-engine sync
Keep the same dataset live in both Firebase and PostgreSQL, so each workload runs on the engine that suits it.
What you can sync between Firebase and PostgreSQL
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 | PostgreSQL objects | |
|---|---|---|
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Views Read-side projections used to expose joined or filtered data to a sync. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Materialized Views Precomputed result sets synced outward on a refresh schedule. |
What ships with Firebase ⇄ PostgreSQL
Connect Firebase and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or PostgreSQL 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 PostgreSQL record.
Observability
Monitoring
Track your Firebase ⇄ PostgreSQL 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 PostgreSQL.
How the Firebase and PostgreSQL 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
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Firebase to PostgreSQL — 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 PostgreSQL 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
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and PostgreSQL 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 ⇄ PostgreSQLCustomers 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 PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Firebase and PostgreSQL: authenticate both systems, choose the objects to sync (such as Firebase's Cloud Storage Objects and Cloud Functions Triggers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Firebase and PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Firebase and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–PostgreSQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebase and PostgreSQL. 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 PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. 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 PostgreSQL side: Sequences, Custom Types and Enums, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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 PostgreSQL.
Popular · 8 of 386
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Firebase ⇄ RavenDB -
Firebase ⇄ Redis Enterprise -
Firebase ⇄ SAP ASE (Sybase) -
Firebase ⇄ Scaleway Postgres -
PostgreSQL ⇄ AWS Aurora PostgreSQL -
PostgreSQL ⇄ MongoDB -
PostgreSQL ⇄ CockroachDB -
PostgreSQL ⇄ Google AlloyDB
No integrations match .
