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E-commerce ⇄ Data warehouse

Channelengine to ClickHouse integration — real-time, two-way sync

Keep Channelengine and ClickHouse 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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Why teams connect Channelengine and ClickHouse

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

ClickHouse 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 Dictionaries, Tables (MergeTree family), Databases, Views in ClickHouse with Products (product content), Offers (price and stock), Shipments, Returns 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 Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • 02 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • 03 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.
  • 04 Write Shipments with tracking back to ChannelEngine when the warehouse or ERP marks an order shipped, so each marketplace notifies the buyer.

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 ClickHouse 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 ClickHouse write onto the matching records in Channelengine, so merchandising and messaging act on warehouse logic.

What you can sync between Channelengine and ClickHouse

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 ClickHouse objects How this pairing syncs
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. Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Orders is specific to Channelengine and Tables (MergeTree family) to ClickHouse — 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. Databases Namespaces that group tables and scope permissions for sync users. Products (product content) is specific to Channelengine and Databases to ClickHouse — 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. Views Saved queries used as curated, read-only sync sources. Offers (price and stock) is specific to Channelengine and Views to ClickHouse — 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. Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Shipments is specific to Channelengine and Materialized views to ClickHouse — 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. Distributed tables Query-routing tables over cluster shards in self-managed deployments. Returns is specific to Channelengine and Distributed tables to ClickHouse — 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. Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Cancellations is specific to Channelengine and Dictionaries to ClickHouse — each maps to any object or custom field on the other side.

How changes propagate between Channelengine and ClickHouse

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 ClickHouse 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 ClickHouse as a row-level write, with types converted between the two schemas.

ClickHouse Channelengine Interval-based propagation

DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.

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 ⇄ ClickHouse

Connect Channelengine and ClickHouse for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Channelengine or ClickHouse 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 ClickHouse record.

Observability

Monitoring

Track your Channelengine ⇄ ClickHouse 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 ClickHouse.

How the Channelengine and ClickHouse 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.

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write
How it works

How to connect Channelengine to ClickHouse — 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 Channelengine and ClickHouse 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
    Channelengine connected
    ClickHouse connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Channelengine and ClickHouse 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 · Channelengine ⇄ ClickHouse
    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
    Channelengine ClickHouse
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Channelengine and ClickHouse 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 403 integrations available for Channelengine and ClickHouse.

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