Real-time
Two-way sync
Changes in Firebase or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Firebase to Tinybird integration — real-time, two-way sync
Keep Firebase and Tinybird 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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Migrated from Celigo
Why teams connect Firebase and Tinybird
Connect Firebase and Tinybird 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 Tinybird, 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 Tinybird in real time, and result tables in Tinybird sync back into Firebase, with schema and type mapping between the two systems handled for you.
Common use cases
- Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
- Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
- Combine Firebase Authentication users with billing and CRM records into one customer table.
- Replace one-off Cloud Functions export code with managed, continuous sync.
Offload heavy reads
Point analytical queries at the synced copy in Tinybird and keep Firebase focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Firebase land in Tinybird as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Tinybird sync into Firebase, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Firebase and Tinybird
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 | Tinybird objects | |
|---|---|---|
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | |
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | |
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Tokens Scoped credentials that control read and append rights per resource. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. |
What ships with Firebase ⇄ Tinybird
Connect Firebase and Tinybird for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Tinybird connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or Tinybird 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 Tinybird record.
Observability
Monitoring
Track your Firebase ⇄ Tinybird 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 Tinybird.
How the Firebase and Tinybird 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
Tinybird
- Integration surface
- REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
- Authentication
- Scoped auth tokens
- Change detection
- Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
- Capabilities
- read · write
- Rate limits
- Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works
How to connect Firebase to Tinybird — 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 Tinybird 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
Tinybird
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and Tinybird 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 ⇄ TinybirdCustomers 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 TinybirdCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and Tinybird integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Tinybird: authenticate both systems, choose the objects to sync (such as Firebase's Subcollections and Realtime Database Nodes), 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 Tinybird: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Tinybird and keep Firebase focused on its operational workload.
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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. Tinybird: REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect. Authentication: Scoped auth tokens. Stacksync manages authentication, retries, and rate limits on both sides.
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Tinybird: The Events API accepts NDJSON rows over plain HTTP, which suits high-frequency appends from sync jobs. 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. Stacksync's field mapping accounts for these differences between Firebase and Tinybird 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 Tinybird 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 Tinybird.
Popular · 8 of 386
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