Skip to content
E-commerce ⇄ Database

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

Keep Channelengine and PostgreSQL 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Channelengine and PostgreSQL

Give your engineers Channelengine's products, orders, and customers in PostgreSQL: 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 Offers (price and stock), Shipments, Returns, Cancellations from Channelengine into PostgreSQL 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 PostgreSQL, 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 data from several microservice databases into one operational Postgres store
  • 02 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • 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 PostgreSQL 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 PostgreSQL for routing, fulfillment, and reporting, without polling the platform.

Controlled write-back

Choose exactly which tables and fields may flow from PostgreSQL back into Channelengine, keeping the store authoritative on what it owns.

What you can sync between Channelengine and PostgreSQL

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 PostgreSQL objects How this pairing syncs
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. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Offers (price and stock) is specific to Channelengine and Custom Types and Enums to PostgreSQL — 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. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Shipments is specific to Channelengine and Tables to PostgreSQL — 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. Views Read-side projections used to expose joined or filtered data to a sync. Returns is specific to Channelengine and Views to PostgreSQL — 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. Materialized Views Precomputed result sets synced outward on a refresh schedule. Cancellations is specific to Channelengine and Materialized Views to PostgreSQL — 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 that scope which tables a sync reads and writes. Backorders is specific to Channelengine and Schemas to PostgreSQL — 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. Columns Field-level mapping targets; types are mapped to the connected system's field types. Order documents is specific to Channelengine and Columns to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Channelengine and PostgreSQL

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

PostgreSQL Channelengine Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Channelengine ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Channelengine or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your Channelengine ⇄ PostgreSQL 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 PostgreSQL.

How the Channelengine and PostgreSQL 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.

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

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

    Choose tables

    Pick the Channelengine and PostgreSQL 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 ⇄ PostgreSQL
    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 PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Channelengine and PostgreSQL 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.

Learn more about security
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:

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 408 integrations available for Channelengine and PostgreSQL.

Popular · 5 of 408
All Channelengine integrations All PostgreSQL integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own