Real-time
Two-way sync
Changes in Citus or Firebase instantly reflect in both systems. No stale data, no manual imports.
Database
Citus to Firebase integration — real-time, two-way sync
Keep Citus 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 Citus and Firebase
Keep Citus 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 Citus 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
- Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
- Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
- Replace one-off Cloud Functions export code with managed, continuous sync.
- Sync Firestore user and account documents into a CRM so go-to-market teams see live product data.
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 Citus and Firebase, 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.
What you can sync between Citus 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.
| Citus objects | Firebase objects | |
|---|---|---|
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Subcollections Nested collections under documents, typically flattened into related tables during sync. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Authentication Users User accounts read into CRMs and warehouses for customer records. |
What ships with Citus ⇄ Firebase
Connect Citus and Firebase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Firebase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or Firebase record.
Observability
Monitoring
Track your Citus ⇄ Firebase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and Firebase.
How the Citus and Firebase connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
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 Citus 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 Citus 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.
Citus
connected
Firebase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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 · Citus ⇄ 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.
Citus FirebaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Firebase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Citus and Firebase: authenticate both systems, choose the objects to sync (such as Citus's Reference tables and Local tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Citus: The managed cloud offering is Azure Cosmos DB for PostgreSQL, which is Citus under a Microsoft brand. Firebase: Snapshot listeners deliver document changes to connected clients in real time, which is the platform's native change-notification mechanism. Stacksync's field mapping accounts for these differences between Citus and Firebase 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 Citus and Firebase 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 Citus and Firebase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Firebase integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and Firebase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Citus and Firebase.
Popular · 8 of 386
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Citus ⇄ Amazon RDS -
Citus ⇄ Supabase -
Citus ⇄ MySQL -
Citus ⇄ MariaDB -
Firebase ⇄ Couchbase -
Firebase ⇄ DuckDB -
Firebase ⇄ Elasticsearch -
Firebase ⇄ Google Cloud Spanner
No integrations match .
