Real-time
Two-way sync
Changes in Firebase or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Database
Firebase to TimescaleDB integration — real-time, two-way sync
Keep Firebase and TimescaleDB 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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Why teams connect Firebase and TimescaleDB
Keep Firebase and TimescaleDB 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 TimescaleDB 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 Firestore user and account documents into a CRM so go-to-market teams see live product data.
- Mirror Firestore collections into Postgres or a warehouse to run SQL analytics on app data.
- Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
- Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
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.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between Firebase and TimescaleDB
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 | TimescaleDB objects | |
|---|---|---|
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | Views Standard SQL views used to shape or filter data for consumers. | |
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. |
What ships with Firebase ⇄ TimescaleDB
Connect Firebase and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Firebase ⇄ TimescaleDB 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 TimescaleDB.
How the Firebase and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Firebase to TimescaleDB — 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 TimescaleDB 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
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and TimescaleDB 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 ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and TimescaleDB: authenticate both systems, choose the objects to sync (such as Firebase's Firestore Documents and Subcollections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Firebase side: Cloud Functions Triggers, Firestore Collections, Firestore Documents, Subcollections, plus custom fields where Firebase exposes them. On the TimescaleDB side: Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables. 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.
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Common patterns for Firebase and TimescaleDB: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
-
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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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Firebase: Snapshot listeners deliver document changes to connected clients in real time, which is the platform's native change-notification mechanism. TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Stacksync's field mapping accounts for these differences between Firebase and TimescaleDB without custom code.
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 TimescaleDB.
Popular · 8 of 386
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Firebase ⇄ OCI Database (Oracle Cloud) -
Firebase ⇄ OpenSearch -
Firebase ⇄ Oracle DB -
Firebase ⇄ RavenDB -
TimescaleDB ⇄ Azure Cosmos DB -
TimescaleDB ⇄ Azure SQL Database -
TimescaleDB ⇄ Citus -
TimescaleDB ⇄ Couchbase
No integrations match .
