Real-time
Two-way sync
Changes in DuckDB or Firebase instantly reflect in both systems. No stale data, no manual imports.
Database
DuckDB to Firebase integration — real-time, two-way sync
Keep DuckDB and Firebase 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 DuckDB and Firebase
Keep DuckDB and Firebase 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 DuckDB and Firebase 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
- Sync SaaS data to Parquet on object storage and query it with DuckDB without standing up a warehouse.
- Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
- Combine Firebase Authentication users with billing and CRM records into one customer table.
- Replace one-off Cloud Functions export code with managed, continuous sync.
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 DuckDB and Firebase, so each workload runs on the engine that suits it.
What you can sync between DuckDB and Firebase
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.
| DuckDB objects | Firebase objects | |
|---|---|---|
| Schemas Namespaces within a database used to organize tables in sync outputs. | Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | |
| Views SQL views used to shape or filter data for downstream consumers. | Subcollections Nested collections under documents, typically flattened into related tables during sync. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | Authentication Users User accounts read into CRMs and warehouses for customer records. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. |
What ships with DuckDB ⇄ Firebase
Connect DuckDB and Firebase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Firebase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DuckDB or Firebase 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 DuckDB or Firebase record.
Observability
Monitoring
Track your DuckDB ⇄ Firebase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between DuckDB and Firebase.
How the DuckDB and Firebase connectors work
DuckDB
- Integration surface
- In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
- Authentication
- None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
- Change detection
- Polling or full re-reads; no change feed or transaction log API
- Capabilities
- read · write
- Rate limits
- No API rate limits; throughput is bounded by local compute and I/O
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
How it works
How to connect DuckDB to Firebase — 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 DuckDB and Firebase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DuckDB
connected
Firebase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DuckDB and Firebase 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 · DuckDB ⇄ FirebaseCustomers 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.
DuckDB FirebaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DuckDB and Firebase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between DuckDB and Firebase: authenticate both systems, choose the objects to sync (such as DuckDB's Schemas and Tables), 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 DuckDB and Firebase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DuckDB–Firebase integration in-house.
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Yes — Stacksync ships production-grade connectors for both DuckDB and Firebase. 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 DuckDB: Polling or full re-reads; no change feed or transaction log API. On Firebase: Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes. 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 DuckDB side: Tables, Views, External files (Parquet/CSV/JSON), Attached databases, plus custom fields where DuckDB 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 DuckDB and Firebase.
Popular · 8 of 386
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DuckDB ⇄ MarkLogic -
DuckDB ⇄ Neo4j -
DuckDB ⇄ OCI Database (Oracle Cloud) -
DuckDB ⇄ OpenSearch -
Firebase ⇄ InterSystems IRIS - Firebase ⇄ MarkLogic
- Firebase ⇄ Neo4j
- Firebase ⇄ OCI Database (Oracle Cloud)
No integrations match .
