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Database

Firebase to MySQL integration — real-time, two-way sync

Keep Firebase and MySQL 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 MySQL

Keep Firebase and MySQL 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 MySQL 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.
  • Feed a warehouse from MySQL continuously using binlog-based capture instead of nightly dumps
  • Two-way sync between a MySQL application database and a CRM so operational records and sales records stay identical

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 MySQL, so each workload runs on the engine that suits it.

What you can sync between Firebase and MySQL

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 MySQL objects
Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. JSON Columns Validated semi-structured payloads for nested SaaS data.
Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. Stored Procedures Server-side logic that can post-process synced rows.
Subcollections Nested collections under documents, typically flattened into related tables during sync. Triggers An alternative change-capture mechanism when binlog access is unavailable.
Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes.
Authentication Users User accounts read into CRMs and warehouses for customer records. Tables The primary sync target; rows map to records in connected systems.
Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. Views Read-side projections used as outbound sync sources.
What ships with Firebase ⇄ MySQL

Connect Firebase and MySQL for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Firebase or MySQL 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 MySQL record.

Observability

Monitoring

Track your Firebase ⇄ MySQL 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 MySQL.

How the Firebase and MySQL 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

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

How to connect Firebase to MySQL — 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 MySQL 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
    MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Firebase and MySQL 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 ⇄ MySQL
    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 MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Firebase and MySQL integration FAQ

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.

Learn more about security
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:

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 386 integrations available for Firebase and MySQL.

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