Real-time
Two-way sync
Changes in Channelengine or Neo4j instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Database
Channelengine to Neo4j integration — real-time, two-way sync
Keep Channelengine and Neo4j 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
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Why teams connect Channelengine and Neo4j
Give your engineers Channelengine's products, orders, and customers in Neo4j: 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 Returns, Cancellations, Backorders, Order documents from Channelengine into Neo4j 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 Neo4j, 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 Feed identity and access data into a graph for entitlement and blast-radius analysis.
- 02 Write computed relationship scores (fraud, influence, similarity) back to operational systems.
- 03 Push product content from a PIM, ERP, or database into ChannelEngine's Products endpoint so listings stay current across every connected marketplace.
- 04 Stream stock and price to the Offers endpoint (PUT /v2/offer/stock) whenever inventory changes so marketplaces reflect availability and overselling is avoided.
Common sync patterns
Read the store's data with a query
Records from Channelengine, whether products, orders, customers, or inventory, live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Channelengine API, rate limits, and retries.
React to store changes
Updates in Channelengine arrive as row changes in Neo4j, so jobs and triggers can respond the moment an order, price, or stock level changes.
What you can sync between Channelengine and Neo4j
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 | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Cancellations Order cancellations; create with POST /v2/cancellations and read with GET /v2/cancellations. Written when stock is unavailable and read back for reconciliation. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Cancellations is specific to Channelengine and Relationships to Neo4j — 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. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Backorders is specific to Channelengine and Properties to Neo4j — 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. | Labels Node type markers used to map source tables or objects onto the graph. | Order documents is specific to Channelengine and Labels to Neo4j — 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. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Orders is specific to Channelengine and Indexes & Constraints to Neo4j — 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 Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Products (product content) is specific to Channelengine and Databases to Neo4j — 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. | Users & Roles Security principals controlling what an integration credential can query or modify. | Offers (price and stock) is specific to Channelengine and Users & Roles to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between Channelengine and Neo4j
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 Neo4j 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 written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j Channelengine Sub-second propagation
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
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 ⇄ Neo4j
Connect Channelengine and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Channelengine–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Channelengine or Neo4j 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 Neo4j record.
Observability
Monitoring
Track your Channelengine ⇄ Neo4j 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 Neo4j.
How the Channelengine and Neo4j 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.
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
How it works
How to connect Channelengine to Neo4j — 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 Neo4j 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
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Channelengine and Neo4j 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 ⇄ Neo4jCustomers 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 Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Channelengine and Neo4j integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Channelengine and Neo4j: authenticate both systems, choose the objects to sync (such as Channelengine's Cancellations and Backorders), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Common patterns for Channelengine and Neo4j: Read the store's data with a query; Internal tools and automations without API code; React to store changes. Records from Channelengine, whether products, orders, customers, or inventory, live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
-
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. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
-
Neo4j: Schema is optional, but uniqueness constraints and indexes are the standard way to make keyed syncs deterministic. Channelengine: Products use a parent/child model where the parent is a non-purchasable blueprint and only children are sold; nesting is limited to a single level. Stacksync's field mapping accounts for these differences between Channelengine and Neo4j without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Channelengine and Neo4j records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Channelengine and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Channelengine–Neo4j integration in-house.
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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