Real-time
Two-way sync
Changes in Firebase or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Database
Firebase to Google AlloyDB integration — real-time, two-way sync
Keep Firebase and Google AlloyDB 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
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Why teams connect Firebase and Google AlloyDB
Keep Firebase and Google AlloyDB 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 Google AlloyDB 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
- 01 Write CRM-side changes (plan, status, owner) back into Firestore documents the app reads.
- 02 Combine Firebase Authentication users with billing and CRM records into one customer table.
- 03 Use logical replication to feed AlloyDB changes into warehouses or event pipelines without batch jobs.
- 04 Consolidate SaaS data into AlloyDB and serve analytics from its columnar engine without a separate OLAP store.
Common sync patterns
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 Google AlloyDB, so each workload runs on the engine that suits it.
What you can sync between Firebase and Google AlloyDB
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 | Google AlloyDB objects | How this pairing syncs | |
|---|---|---|---|
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Authentication Users is specific to Firebase and Materialized Views to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Indexes Keep sync key lookups fast on high-volume tables. | Cloud Storage Objects is specific to Firebase and Indexes to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Sequences ID generation relevant when external systems insert rows. | Cloud Functions Triggers is specific to Firebase and Sequences to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Replication Slots Logical replication artifacts that back log-based change capture. | Firestore Collections is specific to Firebase and Replication Slots to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | Firestore Documents is specific to Firebase and Databases to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Schemas Namespaces used to separate synced SaaS data from application tables. | Subcollections is specific to Firebase and Schemas to Google AlloyDB — each maps to any object or custom field on the other side. |
How changes propagate between Firebase and Google AlloyDB
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Firebase Google AlloyDB Interval-based propagation
DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.
DeliveryEach detected change is applied to Google AlloyDB as a row-level write, with types converted between the two schemas.
Google AlloyDB Firebase Sub-second propagation
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is written to Firebase through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Firebase: Subject to Firestore's documented operation quotas and per-document write throughput limits.
- Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
What ships with Firebase ⇄ Google AlloyDB
Connect Firebase and Google AlloyDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Google AlloyDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or Google AlloyDB 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 Google AlloyDB record.
Observability
Monitoring
Track your Firebase ⇄ Google AlloyDB 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 Google AlloyDB.
How the Firebase and Google AlloyDB 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
Google AlloyDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
- Authentication
- Database credentials or IAM database authentication
- Change detection
- Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API-style rate limits; throughput is bounded by instance size
How it works
How to connect Firebase to Google AlloyDB — 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 Google AlloyDB 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
Google AlloyDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and Google AlloyDB 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 ⇄ Google AlloyDBCustomers 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 Google AlloyDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and Google AlloyDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Google AlloyDB: 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 Google AlloyDB. 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 Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Firebase side: Cloud Functions Triggers, Firestore Collections, Firestore Documents, Subcollections, plus custom fields where Firebase exposes them. On the Google AlloyDB side: Materialized Views, Indexes, Sequences, Replication Slots. 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 Google AlloyDB: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
SECURITY
Security teams trust 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
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 473 integrations available for Firebase and Google AlloyDB.
Popular · 7 of 473
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Firebase ⇄ Redis Enterprise -
Firebase ⇄ SAP ASE (Sybase) -
Firebase ⇄ Scaleway Postgres -
Firebase ⇄ TiDB -
Google AlloyDB ⇄ AWS Aurora PostgreSQL -
Google AlloyDB ⇄ MongoDB -
Google AlloyDB ⇄ Dynamo DB
No integrations match .
