Real-time
Two-way sync
Changes in Firebase or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Database
Firebase to Postgres Heroku integration — real-time, two-way sync
Keep Firebase and Postgres Heroku 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 Postgres Heroku
Keep Firebase and Postgres Heroku 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 Postgres Heroku 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
- Combine Firebase Authentication users with billing and CRM records into one customer table.
- Replace one-off Cloud Functions export code with managed, continuous sync.
- Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- Keep several Heroku app databases aligned with one system of record
Cross-engine sync
Keep the same dataset live in both Firebase and Postgres Heroku, so each workload runs on the engine that suits it.
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.
What you can sync between Firebase and Postgres Heroku
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 | Postgres Heroku objects | |
|---|---|---|
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Materialized Views Precomputed result sets synced outward on refresh. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. |
What ships with Firebase ⇄ Postgres Heroku
Connect Firebase and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Firebase ⇄ Postgres Heroku 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 Postgres Heroku.
How the Firebase and Postgres Heroku 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
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Firebase to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Postgres Heroku: 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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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 Postgres Heroku: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Firebase and Postgres Heroku, so each workload runs on the engine that suits it.
-
Firebase: 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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
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Firebase: Firebase spans two databases with different models: Firestore (collections and documents) and the original Realtime Database (a single JSON tree). Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between Firebase and Postgres Heroku without custom code.
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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 Postgres Heroku records are not retained after a sync operation.
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 Postgres Heroku.
Popular · 8 of 386
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Firebase ⇄ TimescaleDB -
Firebase ⇄ VoltDB -
Firebase ⇄ YugabyteDB -
Firebase ⇄ PostgreSQL - Postgres Heroku ⇄ YugabyteDB
- Postgres Heroku ⇄ PostgreSQL
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Postgres Heroku ⇄ Amazon RDS -
Postgres Heroku ⇄ Supabase
No integrations match .
