Real-time
Two-way sync
Changes in Channelengine or Firebase instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Database
Channelengine to Firebase integration — real-time, two-way sync
Keep Channelengine 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
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Why teams connect Channelengine and Firebase
Give your engineers Channelengine's products, orders, and customers in Firebase: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Returns, Cancellations, Backorders, Order documents from Channelengine into Firebase and keeps both sides consistent in real time. Whatever Channelengine holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Firebase, such as new prices, stock levels, or fulfillment status, sync back into Channelengine with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Common use cases
- 01 Sync Firestore user and account documents into a CRM so go-to-market teams see live product data.
- 02 Mirror Firestore collections into Postgres or a warehouse to run SQL analytics on app data.
- 03 Push product content from a PIM, ERP, or database into ChannelEngine's Products endpoint so listings stay current across every connected marketplace.
- 04 Stream stock and price to the Offers endpoint (PUT /v2/offer/stock) whenever inventory changes so marketplaces reflect availability and overselling is avoided.
Common sync patterns
Read the store's data with a query
Records from Channelengine, whether products, orders, customers, or inventory, live in Firebase as ordinary tables or collections, joinable with the rest of your data.
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Channelengine API, rate limits, and retries.
React to store changes
Updates in Channelengine arrive as row changes in Firebase, so jobs and triggers can respond the moment an order, price, or stock level changes.
What you can sync between Channelengine 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.
| Channelengine objects | Firebase objects | How this pairing syncs | |
|---|---|---|---|
| Shipments Fulfillment records; write with POST /v2/shipments to mark an order shipped with tracking, read with GET /v2/shipments. Pushed back from a warehouse or ERP so marketplaces update the buyer. | Authentication Users User accounts read into CRMs and warehouses for customer records. | Shipments is specific to Channelengine and Authentication Users to Firebase — each maps to any object or custom field on the other side. | |
| Returns Marketplace- and merchant-initiated returns; read via GET /v2/returns and created with POST /v2/returns. Synced two-way so customer-service and finance systems reconcile with the ERP. | Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Returns is specific to Channelengine and Cloud Storage Objects to Firebase — each maps to any object or custom field on the other side. | |
| Cancellations Order cancellations; create with POST /v2/cancellations and read with GET /v2/cancellations. Written when stock is unavailable and read back for reconciliation. | Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Cancellations is specific to Channelengine and Cloud Functions Triggers to Firebase — each maps to any object or custom field on the other side. | |
| Backorders Records marking part of an order as temporarily out of stock; create with POST /v2/backorders and read with GET /v2/backorders by merchant reference or since a date. | Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | Backorders is specific to Channelengine and Firestore Collections to Firebase — each maps to any object or custom field on the other side. | |
| Order documents Invoices and other order documents; retrieved as a paginated, filterable list via GET /v2/orders/documents for finance and archiving systems. Read-only. | Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Order documents is specific to Channelengine and Firestore Documents to Firebase — each maps to any object or custom field on the other side. | |
| Orders Marketplace and merchant-fulfilled orders; read via GET /v2/orders and GET /v2/orders/new (status NEW), then acknowledged with POST /v2/orders/acknowledge so later shipment, return, and cancellation calls can reference them. | Subcollections Nested collections under documents, typically flattened into related tables during sync. | Orders is specific to Channelengine and Subcollections to Firebase — each maps to any object or custom field on the other side. |
How changes propagate between Channelengine and Firebase
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Channelengine Firebase Sub-second propagation
DetectionChannelengine notifies Stacksync of record changes through webhook events. Webhooks fire on order creation and on return and shipment/cancellation changes.
DeliveryEach detected change is written to Firebase through its API, with automatic retries and rate-limit backoff.
Firebase Channelengine Interval-based propagation
DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.
DeliveryEach detected change is written to Channelengine through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Channelengine: Rate limits are per endpoint and returned in headers: x-rate-limit-limit (interval length in minutes), x-rate-limit-remaining, and retry-after (seconds to wait); e.g. POST /v2/supportorder allows 3 calls per minute.
- Firebase: Subject to Firestore's documented operation quotas and per-document write throughput limits.
What ships with Channelengine ⇄ Firebase
Connect Channelengine and Firebase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Channelengine–Firebase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Channelengine 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 Channelengine or Firebase record.
Observability
Monitoring
Track your Channelengine ⇄ Firebase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Channelengine and Firebase.
How the Channelengine and Firebase connectors work
Channelengine
- Integration surface
- REST API (Merchant API v2); per-tenant base URL https://{tenant}.channelengine.net/api
- Authentication
- API key passed as the 'apikey' parameter; ChannelEngine recommends sending it in a request header rather than the URL because some webservers log full URLs
- Change detection
- Webhooks fire on order creation and on return and shipment/cancellation changes; product content and offers use change-tracking endpoints (GET /v2/products/data and /v2/products/offers) with an acknowledge pattern that returns only changed records, plus polling GET /v2/orders/new
- Capabilities
- read · write · webhooks
- Rate limits
- Rate limits are per endpoint and returned in headers: x-rate-limit-limit (interval length in minutes), x-rate-limit-remaining, and retry-after (seconds to wait); e.g. POST /v2/supportorder allows 3 calls per minute.
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 Channelengine 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 Channelengine 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.
Channelengine
connected
Firebase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Channelengine 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 · Channelengine ⇄ 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.
Channelengine FirebaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Channelengine and Firebase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Channelengine and Firebase: authenticate both systems, choose the objects to sync (such as Channelengine's Shipments and Returns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. Channelengine: The offer endpoint (PUT /v2/offer/stock) handles only price and stock and supports bulk updates, kept separate from product content so fast-changing stock can be pushed more frequently. Stacksync's field mapping accounts for these differences between Channelengine and Firebase without custom code.
-
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 Channelengine 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 Channelengine and Firebase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Channelengine–Firebase integration in-house.
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Yes — Stacksync ships production-grade connectors for both Channelengine 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 Channelengine: Webhooks fire on order creation and on return and shipment/cancellation changes; product content and offers use change-tracking endpoints (GET /v2/products/data and /v2/products/offers) with an acknowledge pattern that returns only changed records, plus polling GET /v2/orders/new. 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.
SECURITY
Security teams trust 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
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
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