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Database ⇄ Data warehouse

Firebase to Google Cloud Platform integration — real-time, two-way sync

Keep Firebase and Google Cloud Platform in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Firebase and Google Cloud Platform

Connect Firebase and Google Cloud Platform with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want Firebase's rows in Google Cloud Platform, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Firebase where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in Firebase sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into Firebase, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 Replace one-off Cloud Functions export code with managed, continuous sync.
  • 03 Sync Firestore user and account documents into a CRM so go-to-market teams see live product data.

Common sync patterns

Operational data in the warehouse, minus the pipeline

Rows from Firebase land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Google Cloud Platform sync into Firebase, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between Firebase and Google Cloud Platform

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 Platform objects How this pairing syncs
Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Subcollections Nested collections under documents, typically flattened into related tables during sync. Pub/Sub topics Event streams used to move change events between systems in near real time. Subcollections is specific to Firebase and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.
Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Realtime Database Nodes is specific to Firebase and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Authentication Users User accounts read into CRMs and warehouses for customer records. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Authentication Users is specific to Firebase and BigQuery datasets to Google Cloud Platform — 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. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Cloud Functions Triggers is specific to Firebase and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Firebase and Google Cloud Platform

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 Platform 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 Platform as a row-level write, with types converted between the two schemas.

Google Cloud Platform Firebase Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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 Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Firebase ⇄ Google Cloud Platform

Connect Firebase and Google Cloud Platform for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Google Cloud Platform connection.

Real-time

Two-way sync

Changes in Firebase or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Firebase or Google Cloud Platform 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 Platform record.

Observability

Monitoring

Track your Firebase ⇄ Google Cloud Platform 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 Platform.

How the Firebase and Google Cloud Platform 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 Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

How to connect Firebase to Google Cloud Platform — 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.

  1. 01

    Connect your apps

    Authenticate Firebase and Google Cloud Platform with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Firebase connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Firebase and Google Cloud Platform 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Firebase ⇄ Google Cloud Platform
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Firebase Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Firebase and Google Cloud Platform integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 565 integrations available for Firebase and Google Cloud Platform.

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