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Data warehouse ⇄ E-commerce

Azure Synapse Analytics to Channelengine integration — real-time, two-way sync

Keep Azure Synapse Analytics and Channelengine 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 Azure Synapse Analytics and Channelengine

Make Azure Synapse Analytics the analytics and enrichment layer behind Channelengine: orders, products, and customers stay current in both directions.

Azure Synapse Analytics is the analytical store where the business joins, models, and reports on its data; Channelengine runs the storefront, catalog, and transactions that generate most of it. The overlap is every record that has to be counted and enriched on one side and acted on the other — and when the bridge is a nightly export, the warehouse reports on yesterday while the store operates without the segments and metrics the warehouse just computed.

Stacksync syncs Schemas, Materialized views, SQL pools, Tables (dedicated SQL pool) in Azure Synapse Analytics with Cancellations, Backorders, Order documents, Orders in Channelengine field by field, in real time, and in both directions. Transactional records land in the warehouse as they change, computed attributes and cleaned catalog data flow back to the store, and you decide which system owns which fields so Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Sync curated Synapse views into an operational Postgres or Azure SQL database that applications can query cheaply.
  • 02 Consolidate SaaS data alongside lake data so analysts join both through one SQL surface.
  • 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

One customer master

Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.

Live analytics on store activity

Orders, products, and customer records from Channelengine land in Azure Synapse Analytics as they change, so dashboards and models read current data instead of last night's export.

Where Channelengine accepts writes: push computed attributes back

Segments, lifetime value, and scores built in Azure Synapse Analytics write onto the matching records in Channelengine, so merchandising and messaging act on warehouse logic.

What you can sync between Azure Synapse Analytics and Channelengine

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.

Azure Synapse Analytics objects Channelengine objects How this pairing syncs
External tables Tables over files in the data lake, queried through serverless SQL and often read-only in 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. External tables is specific to Azure Synapse Analytics and Backorders to Channelengine — each maps to any object or custom field on the other side.
Views Curated projections used when downstream tools should not read base tables directly. 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. Views is specific to Azure Synapse Analytics and Order documents to Channelengine — each maps to any object or custom field on the other side.
Schemas Namespaces that separate staging, integration, and presentation layers. 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. Schemas is specific to Azure Synapse Analytics and Orders to Channelengine — each maps to any object or custom field on the other side.
Materialized views Precomputed aggregates that speed reads of frequently synced result sets. 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. Materialized views is specific to Azure Synapse Analytics and Products (product content) to Channelengine — each maps to any object or custom field on the other side.
SQL pools Dedicated or serverless compute contexts that determine how and where queries run. 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. SQL pools is specific to Azure Synapse Analytics and Offers (price and stock) to Channelengine — each maps to any object or custom field on the other side.
Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. 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. Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Shipments to Channelengine — each maps to any object or custom field on the other side.

How changes propagate between Azure Synapse Analytics and Channelengine

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.

Azure Synapse Analytics Channelengine Interval-based propagation

DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.

DeliveryEach detected change is written to Channelengine through its API, with automatic retries and rate-limit backoff.

Channelengine Azure Synapse Analytics 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 Azure Synapse Analytics as a row-level write, with types converted between the two schemas.

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 Azure Synapse Analytics ⇄ Channelengine

Connect Azure Synapse Analytics and Channelengine for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Channelengine connection.

Real-time

Two-way sync

Changes in Azure Synapse Analytics or Channelengine instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Synapse Analytics or Channelengine 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 Azure Synapse Analytics or Channelengine record.

Observability

Monitoring

Track your Azure Synapse Analytics ⇄ Channelengine sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Channelengine.

How the Azure Synapse Analytics and Channelengine connectors work

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write

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.
How it works

How to connect Azure Synapse Analytics to Channelengine — 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.

  1. 01

    Connect your apps

    Authenticate Azure Synapse Analytics and Channelengine with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Azure Synapse Analytics connected
    Channelengine connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Synapse Analytics and Channelengine 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Azure Synapse Analytics ⇄ Channelengine
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Azure Synapse Analytics Channelengine
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Synapse Analytics and Channelengine integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 404 integrations available for Azure Synapse Analytics and Channelengine.

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