Real-time
Two-way sync
Changes in Firebase or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Database
Firebase to SingleStore integration — real-time, two-way sync
Keep Firebase and SingleStore 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 SingleStore
Keep Firebase and SingleStore 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 SingleStore 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.
- Sync results of real-time analytical queries back into business tools where teams act on them.
- Consolidate data from transactional databases and SaaS apps into one store that handles both lookups and scans.
Cross-engine sync
Keep the same dataset live in both Firebase and SingleStore, 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 SingleStore
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 | SingleStore objects | |
|---|---|---|
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Stored Procedures Existing logic sometimes invoked on write paths. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Databases The connection target containing the tables a sync addresses. | |
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. |
What ships with Firebase ⇄ SingleStore
Connect Firebase and SingleStore for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–SingleStore connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or SingleStore 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 SingleStore record.
Observability
Monitoring
Track your Firebase ⇄ SingleStore 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 SingleStore.
How the Firebase and SingleStore 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
SingleStore
- Integration surface
- SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by workspace or cluster size
How it works
How to connect Firebase to SingleStore — 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 SingleStore 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
SingleStore
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and SingleStore 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 ⇄ SingleStoreCustomers 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 SingleStoreCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and SingleStore integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Firebase and SingleStore: authenticate both systems, choose the objects to sync (such as Firebase's Cloud Functions Triggers and Firestore Collections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 SingleStore: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Firebase and SingleStore, so each workload runs on the engine that suits it.
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Firebase: 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. SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Firebase: Firebase spans two databases with different models: Firestore (collections and documents) and the original Realtime Database (a single JSON tree). SingleStore: Native Pipelines ingest continuously from Kafka and object storage, so external syncs typically cover the SaaS and database sources Pipelines do not. Stacksync's field mapping accounts for these differences between Firebase and SingleStore 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 SingleStore records are not retained after a sync operation.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Firebase and SingleStore.
Popular · 8 of 386
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Firebase ⇄ RavenDB -
Firebase ⇄ Redis Enterprise -
Firebase ⇄ SAP ASE (Sybase) -
Firebase ⇄ Scaleway Postgres -
SingleStore ⇄ Azure SQL Database -
SingleStore ⇄ Citus -
SingleStore ⇄ Couchbase -
SingleStore ⇄ DuckDB
No integrations match .
