Real-time
Two-way sync
Changes in Firebase or MariaDB instantly reflect in both systems. No stale data, no manual imports.
Database
Firebase to MariaDB integration — real-time, two-way sync
Keep Firebase and MariaDB 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 MariaDB
Keep Firebase and MariaDB 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 MariaDB 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 Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records
- 04 Replicate ERP or billing master data into MariaDB databases that power customer-facing applications
Common sync patterns
Cross-engine sync
Keep the same dataset live in both Firebase and MariaDB, 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 MariaDB
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 | MariaDB objects | How this pairing syncs | |
|---|---|---|---|
| Authentication Users User accounts read into CRMs and warehouses for customer records. | JSON Columns Semi-structured payloads validated with JSON functions. | Authentication Users is specific to Firebase and JSON Columns to MariaDB — 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. | Stored Procedures Server-side logic that can post-process synced rows. | Cloud Storage Objects is specific to Firebase and Stored Procedures to MariaDB — 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. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Cloud Functions Triggers is specific to Firebase and Databases (Schemas) to MariaDB — 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. | Tables The primary sync target; rows map to records in connected systems. | Firestore Collections is specific to Firebase and Tables to MariaDB — 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-side projections used as outbound sync sources. | Firestore Documents is specific to Firebase and Views to MariaDB — each maps to any object or custom field on the other side. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Columns Field-level mapping targets with engine-typed values. | Subcollections is specific to Firebase and Columns to MariaDB — each maps to any object or custom field on the other side. |
How changes propagate between Firebase and MariaDB
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 MariaDB 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 MariaDB as a row-level write, with types converted between the two schemas.
MariaDB Firebase Sub-second propagation
DetectionChanges in MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.
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.
- MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Firebase ⇄ MariaDB
Connect Firebase and MariaDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–MariaDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or MariaDB 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 MariaDB record.
Observability
Monitoring
Track your Firebase ⇄ MariaDB 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 MariaDB.
How the Firebase and MariaDB 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
MariaDB
- Integration surface
- SQL wire protocol (MySQL-compatible client/server protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
How it works
How to connect Firebase to MariaDB — 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 MariaDB 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
MariaDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and MariaDB 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 ⇄ MariaDBCustomers 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 MariaDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and MariaDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and MariaDB: 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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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 MariaDB 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 MariaDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–MariaDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebase and MariaDB. 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 MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Firebase side: Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections, Firestore Documents, plus custom fields where Firebase exposes them. On the MariaDB side: Databases (Schemas), Tables, Views, Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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 469 integrations available for Firebase and MariaDB.
Popular · 5 of 469
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Firebase ⇄ Azure SQL Database -
Firebase ⇄ Citus -
Firebase ⇄ Couchbase -
Firebase ⇄ DuckDB -
MariaDB ⇄ Amazon Lightsail
No integrations match .
