Real-time
Two-way sync
Changes in Channelengine or SQL Server instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Database
Channelengine to SQL Server integration — real-time, two-way sync
Keep Channelengine and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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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 SQL Server
Give your engineers Channelengine's products, orders, and customers in SQL Server: 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 Backorders, Order documents, Orders, Products (product content) from Channelengine into SQL Server 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 SQL Server, 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 Expose SaaS records as SQL Server tables that existing SSRS reports and internal apps can query
- 02 Mirror on-premises ERP data held in SQL Server into cloud CRM and support systems
- 03 Stream stock and price to the Offers endpoint (PUT /v2/offer/stock) whenever inventory changes so marketplaces reflect availability and overselling is avoided.
- 04 Pull new marketplace orders with GET /v2/orders/new into an ERP or OMS and acknowledge them so fulfillment runs from the system of record.
Common sync patterns
Keep catalog and inventory current
Prices, stock levels, or product details maintained in SQL Server sync back onto Channelengine, so the storefront shows what your systems treat as true.
Order data where your code can use it
Orders and their status become rows in SQL Server for routing, fulfillment, and reporting, without polling the platform.
Controlled write-back
Choose exactly which tables and fields may flow from SQL Server back into Channelengine, keeping the store authoritative on what it owns.
What you can sync between Channelengine and SQL Server
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 | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Columns Field-level mapping targets with T-SQL types. | Products (product content) is specific to Channelengine and Columns to SQL Server — 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. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Offers (price and stock) is specific to Channelengine and Primary and Unique Keys to SQL Server — 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. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Shipments is specific to Channelengine and CDC Change Tables to SQL Server — 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. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | Returns is specific to Channelengine and Stored Procedures to SQL Server — 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. | Databases Instance-level databases that scope a sync's reads and writes. | Cancellations is specific to Channelengine and Databases to SQL Server — 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. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Backorders is specific to Channelengine and Schemas to SQL Server — each maps to any object or custom field on the other side. |
How changes propagate between Channelengine and SQL Server
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 SQL Server 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 SQL Server as a row-level write, with types converted between the two schemas.
SQL Server Channelengine Sub-second propagation
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
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.
- SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Channelengine ⇄ SQL Server
Connect Channelengine and SQL Server for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Channelengine–SQL Server connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Channelengine or SQL Server 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 SQL Server record.
Observability
Monitoring
Track your Channelengine ⇄ SQL Server 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 SQL Server.
How the Channelengine and SQL Server 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.
SQL Server
- Integration surface
- SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
- Authentication
- Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
- Change detection
- SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
How it works
How to connect Channelengine to SQL Server — 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 SQL Server 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
SQL Server
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Channelengine and SQL Server 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 ⇄ SQL ServerCustomers 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 SQL ServerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Channelengine and SQL Server integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Channelengine and SQL Server: authenticate both systems, choose the objects to sync (such as Channelengine's Products (product content) and Offers (price and stock)), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Channelengine and SQL Server. 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 SQL Server: SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures. 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 SQL Server side: Primary and Unique Keys, CDC Change Tables, Stored Procedures, Databases, plus custom fields where SQL Server exposes them. On the Channelengine side: Backorders, Order documents, Orders, Products (product content). 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 Channelengine and SQL Server: Keep catalog and inventory current; Order data where your code can use it; Controlled write-back. Prices, stock levels, or product details maintained in SQL Server sync back onto Channelengine, so the storefront shows what your systems treat as true.
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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