Real-time
Two-way sync
Changes in Firebase or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Database
Firebase to Google Cloud Spanner integration — real-time, two-way sync
Keep Firebase and Google Cloud Spanner 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
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Firebase and Google Cloud Spanner
Keep Firebase and Google Cloud Spanner 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 Cloud Spanner 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 Replace one-off Cloud Functions export code with managed, continuous sync.
- 02 Sync Firestore user and account documents into a CRM so go-to-market teams see live product data.
- 03 Consolidate data from a globally distributed Spanner deployment into regional business systems.
- 04 Push billing or entitlement changes from finance tools into Spanner tables the application reads at runtime.
Common sync patterns
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 Cloud Spanner, 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.
What you can sync between Firebase and Google Cloud Spanner
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 Cloud Spanner objects | How this pairing syncs | |
|---|---|---|---|
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Tables Relational tables mapped one-to-one to sync targets. | Realtime Database Nodes is specific to Firebase and Tables to Google Cloud Spanner — each maps to any object or custom field on the other side. | |
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Rows The unit of read and write in each sync cycle, keyed by primary key. | Authentication Users is specific to Firebase and Rows to Google Cloud Spanner — 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. | Interleaved tables Child rows physically co-located with parents; synced as related records. | Cloud Storage Objects is specific to Firebase and Interleaved tables to Google Cloud Spanner — 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. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | Cloud Functions Triggers is specific to Firebase and Secondary indexes to Google Cloud Spanner — 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. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | Firestore Collections is specific to Firebase and Change streams to Google Cloud Spanner — 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. | Views Read-only projections useful for shaping data before it leaves Spanner. | Firestore Documents is specific to Firebase and Views to Google Cloud Spanner — each maps to any object or custom field on the other side. |
How changes propagate between Firebase and Google Cloud Spanner
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 Cloud Spanner 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 Cloud Spanner as a row-level write, with types converted between the two schemas.
Google Cloud Spanner Firebase Sub-second propagation
DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.
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 Cloud Spanner: Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
What ships with Firebase ⇄ Google Cloud Spanner
Connect Firebase and Google Cloud Spanner for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Google Cloud Spanner connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or Google Cloud Spanner 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 Cloud Spanner record.
Observability
Monitoring
Track your Firebase ⇄ Google Cloud Spanner 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 Cloud Spanner.
How the Firebase and Google Cloud Spanner 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 Cloud Spanner
- Integration surface
- gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
- Authentication
- Google Cloud IAM (service accounts)
- Change detection
- Change streams (log-style CDC), or timestamp-based polling queries
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
How it works
How to connect Firebase to Google Cloud Spanner — 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 Cloud Spanner 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 Cloud Spanner
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and Google Cloud Spanner 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 Cloud SpannerCustomers 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 Cloud SpannerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and Google Cloud Spanner integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as Firebase's Realtime Database Nodes and Authentication Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Firebase: Firestore documents are schemaless and support nested maps and arrays, so syncs define field mappings per document path rather than from a fixed schema. Google Cloud Spanner: Interleaved tables physically store child rows with their parent rows, which affects how related records are read. Stacksync's field mapping accounts for these differences between Firebase and Google Cloud Spanner 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 Google Cloud Spanner 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 Google Cloud Spanner connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–Google Cloud Spanner integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebase and Google Cloud Spanner. 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 Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 453 integrations available for Firebase and Google Cloud Spanner.
Popular · 5 of 453
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Firebase ⇄ Elasticsearch - Firebase ⇄ Google Cloud SQL
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Firebase ⇄ IBM AS/400 -
Firebase ⇄ IBM Informix -
Google Cloud Spanner ⇄ Neo4j
No integrations match .
