Real-time
Two-way sync
Changes in Channelengine or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Data warehouse
Channelengine to Google Cloud Platform integration — real-time, two-way sync
Keep Channelengine and Google Cloud Platform 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 Google Cloud Platform
Make Google Cloud Platform the analytics and enrichment layer behind Channelengine: orders, products, and customers stay current in both directions.
Google Cloud Platform 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 BigQuery datasets, BigQuery tables, Cloud SQL databases, Cloud Storage objects in Google Cloud Platform with Backorders, Order documents, Orders, Products (product content) 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 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
- 02 Load Orders and Returns into Postgres or a warehouse for marketplace sales, fulfillment, and margin reporting without manual CSV exports.
- 03 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 product catalog
Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.
Inventory and order status reconciled
Stock levels and order or fulfillment status move between Google Cloud Platform and Channelengine so counts and states agree across reporting and operations.
One customer master
Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.
What you can sync between Channelengine and Google Cloud Platform
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 | Google Cloud Platform objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Pub/Sub topics Event streams used to move change events between systems in near real time. | Order documents is specific to Channelengine and Pub/Sub topics to Google Cloud Platform — 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. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Orders is specific to Channelengine and Firestore documents to Google Cloud Platform — 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. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Products (product content) is specific to Channelengine and Spanner tables to Google Cloud Platform — 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. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Offers (price and stock) is specific to Channelengine and BigQuery datasets to Google Cloud Platform — 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. | BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Shipments is specific to Channelengine and BigQuery tables to Google Cloud Platform — 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. | Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Returns is specific to Channelengine and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side. |
How changes propagate between Channelengine and Google Cloud Platform
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 Google Cloud Platform 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 Google Cloud Platform as a row-level write, with types converted between the two schemas.
Google Cloud Platform Channelengine Sub-second propagation
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
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.
- Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Channelengine ⇄ Google Cloud Platform
Connect Channelengine and Google Cloud Platform for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Channelengine–Google Cloud Platform connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Channelengine or Google Cloud Platform 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 Google Cloud Platform record.
Observability
Monitoring
Track your Channelengine ⇄ Google Cloud Platform 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 Google Cloud Platform.
How the Channelengine and Google Cloud Platform 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.
Google Cloud Platform
- Integration surface
- Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
- Authentication
- IAM service accounts with OAuth 2.0 tokens
- Change detection
- Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works
How to connect Channelengine to Google Cloud Platform — 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 Google Cloud Platform 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
Google Cloud Platform
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Channelengine and Google Cloud Platform 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 ⇄ Google Cloud PlatformCustomers 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 Google Cloud PlatformCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Channelengine and Google Cloud Platform integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Channelengine and Google Cloud Platform: authenticate both systems, choose the objects to sync (such as Channelengine's Order documents and Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Google Cloud Platform side: BigQuery datasets, BigQuery tables, Cloud SQL databases, Cloud Storage objects, plus custom fields where Google Cloud Platform 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.
-
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.
-
Common patterns for Channelengine and Google Cloud Platform: One product catalog; Inventory and order status reconciled; One customer master. Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.
-
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. Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. Stacksync manages authentication, retries, and rate limits on both sides.
-
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. Channelengine: The offer endpoint (PUT /v2/offer/stock) handles only price and stock and supports bulk updates, kept separate from product content so fast-changing stock can be pushed more frequently. Stacksync's field mapping accounts for these differences between Channelengine and Google Cloud Platform without custom code.
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
Every pair below is a real-time, two-way sync. Search all 402 integrations available for Channelengine and Google Cloud Platform.
Popular · 4 of 402
-
Google Cloud Platform ⇄ Akeneo -
Google Cloud Platform ⇄ Bigcommerce -
Google Cloud Platform ⇄ Easypost -
Google Cloud Platform ⇄ Magento
No integrations match .
