Real-time
Two-way sync
Changes in Firebase or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Firebase to MotherDuck integration — real-time, two-way sync
Keep Firebase and MotherDuck 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 MotherDuck
Connect Firebase and MotherDuck 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 MotherDuck, 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 MotherDuck in real time, and result tables in MotherDuck sync back into Firebase, with schema and type mapping between the two systems handled for you.
Common use cases
- Share curated, synced datasets with other teams through read-only database shares
- Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
- Mirror Firestore collections into Postgres or a warehouse to run SQL analytics on app data.
- Write CRM-side changes (plan, status, owner) back into Firestore documents the app reads.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in MotherDuck and keep Firebase focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Firebase land in MotherDuck as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between Firebase and MotherDuck
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 | MotherDuck objects | |
|---|---|---|
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Views Modeled projections used as outbound sync sources. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Database Shares Read-only copies of a database shared with other users or teams. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Schemas Namespaces within a database used to organize synced tables. | |
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Tables The main landing target for synced records and source for analysis. |
What ships with Firebase ⇄ MotherDuck
Connect Firebase and MotherDuck for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–MotherDuck connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or MotherDuck 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 MotherDuck record.
Observability
Monitoring
Track your Firebase ⇄ MotherDuck 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 MotherDuck.
How the Firebase and MotherDuck 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
MotherDuck
- Integration surface
- SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
- Authentication
- Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
- Change detection
- Polling; no log-based CDC or webhook surface is exposed
- Capabilities
- read · write
- Rate limits
- Subject to the platform's compute and concurrency limits rather than per-request API rate limits
How it works
How to connect Firebase to MotherDuck — 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 MotherDuck 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
MotherDuck
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and MotherDuck 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 ⇄ MotherDuckCustomers 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 MotherDuckCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and MotherDuck integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Firebase and MotherDuck: 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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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Firebase and MotherDuck connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–MotherDuck integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebase and MotherDuck. 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 MotherDuck: Polling; no log-based CDC or webhook surface is exposed. 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 MotherDuck side: Attached Local DuckDB Databases, Databases, Schemas, Tables, plus custom fields where MotherDuck exposes them. On the Firebase side: Authentication Users, Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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 MotherDuck.
Popular · 8 of 386
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Firebase ⇄ Apache Druid -
Firebase ⇄ Apache Hive -
Firebase ⇄ Apache Impala -
Firebase ⇄ Apache Kylin -
MotherDuck ⇄ SAP ASE (Sybase) -
MotherDuck ⇄ Scaleway Postgres -
MotherDuck ⇄ TiDB -
MotherDuck ⇄ TimescaleDB
No integrations match .
