Real-time
Two-way sync
Changes in Channelengine or MongoDB instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Database
Channelengine to MongoDB integration — real-time, two-way sync
Keep Channelengine and MongoDB 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Channelengine and MongoDB
Give your engineers Channelengine's products, orders, and customers in MongoDB: 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 Orders, Products (product content), Offers (price and stock), Shipments from Channelengine into MongoDB 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 MongoDB, 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 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
- 02 Sync MongoDB collections with a CRM so customer documents written by the application appear as CRM records, and CRM edits flow back as document updates.
- 03 Load Orders and Returns into Postgres or a warehouse for marketplace sales, fulfillment, and margin reporting without manual CSV exports.
- 04 Push product content from a PIM, ERP, or database into ChannelEngine's Products endpoint so listings stay current across every connected marketplace.
Common sync patterns
Order data where your code can use it
Orders and their status become rows in MongoDB for routing, fulfillment, and reporting, without polling the platform.
Controlled write-back
Choose exactly which tables and fields may flow from MongoDB back into Channelengine, keeping the store authoritative on what it owns.
Read the store's data with a query
Records from Channelengine, whether products, orders, customers, or inventory, live in MongoDB as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Channelengine and MongoDB
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 | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Backorders is specific to Channelengine and Embedded documents and arrays to MongoDB — 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. | Indexes Keep lookups by sync key fast on large collections. | Order documents is specific to Channelengine and Indexes to MongoDB — 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. | Views Read-only aggregation-defined sources for filtered sync datasets. | Orders is specific to Channelengine and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Products (product content) Catalog records created and updated via POST /v2/products and deactivated via DELETE; use a parent/child variant model where the parent is a non-purchasable blueprint. Written into ChannelEngine from a PIM, ERP, or database. | Change streams The oplog-backed event feed that powers real-time change capture. | Products (product content) is specific to Channelengine and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Offers (price and stock) Price and stock updates via PUT /v2/offer/stock and the offers endpoints; separate from product content so fast-changing stock can be pushed often, and supports bulk updates across stock locations. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Offers (price and stock) is specific to Channelengine and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| 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. | Databases Logical groupings of collections that scope a sync connection. | Shipments is specific to Channelengine and Databases to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between Channelengine and MongoDB
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 MongoDB 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 applied to MongoDB as a row-level write, with types converted between the two schemas.
MongoDB Channelengine Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
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.
What ships with Channelengine ⇄ MongoDB
Connect Channelengine and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Channelengine–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Channelengine or MongoDB 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 MongoDB record.
Observability
Monitoring
Track your Channelengine ⇄ MongoDB 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 MongoDB.
How the Channelengine and MongoDB 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.
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Channelengine to MongoDB — 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 MongoDB 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
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Channelengine and MongoDB 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 ⇄ MongoDBCustomers 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 MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Channelengine and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Channelengine and MongoDB: authenticate both systems, choose the objects to sync (such as Channelengine's Backorders and Order documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Common patterns for Channelengine and MongoDB: Order data where your code can use it; Controlled write-back; Read the store's data with a query. Orders and their status become rows in MongoDB for routing, fulfillment, and reporting, without polling the platform.
-
Channelengine: 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. MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. Stacksync manages authentication, retries, and rate limits on both sides.
-
MongoDB: Replica set configuration is required even for a single node — standalone MongoDB cannot be change-tracked. Channelengine: Authentication uses an API key passed as the 'apikey' parameter; ChannelEngine advises sending it in a header rather than the URL because some webservers log full URLs. Stacksync's field mapping accounts for these differences between Channelengine and MongoDB 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 Channelengine and MongoDB 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 MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Channelengine–MongoDB integration in-house.
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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