Two-way sync
Changes in Neo4j or Shipwire instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j and Shipwire in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Rates, Orders, Products, Stock from Shipwire into Neo4j and keeps both sides consistent in real time. Whatever Shipwire 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 Shipwire 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.
Choose exactly which tables and fields may flow from Neo4j back into Shipwire, keeping the store authoritative on what it owns.
Records from Shipwire, whether products, orders, customers, or inventory, live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Shipwire API, rate limits, and retries.
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.
| Neo4j objects | Shipwire objects | How this pairing syncs | |
|---|---|---|---|
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Purchase Orders B2B orders with retailer-specific routing and compliance fields; managed via API alongside receivings for wholesale and marketplace fulfillment. | Databases is specific to Neo4j and Purchase Orders to Shipwire — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Trackings Shipment tracking numbers and carrier status returned as an Order subresource and surfaced through tracking.created, tracking.updated, and tracking.delivered webhook topics. | Users & Roles is specific to Neo4j and Trackings to Shipwire — each maps to any object or custom field on the other side. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Rates Shipping cost quotes for a cart or order; read-only, called at checkout time to estimate carrier costs rather than synced as stored records. | Nodes is specific to Neo4j and Rates to Shipwire — each maps to any object or custom field on the other side. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Orders B2C fulfillment orders (create, update, cancel, get) with item, hold, routing, and tracking subresources; typically written from a storefront or ERP and synced back with status and trackings. | Relationships is specific to Neo4j and Orders to Shipwire — each maps to any object or custom field on the other side. | |
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Products Catalog SKUs including kits, virtual kits, and marketplace products; created and edited via API, commonly mastered in a PIM or ERP and pushed into Shipwire with dimensions and pricing. | Properties is specific to Neo4j and Products to Shipwire — each maps to any object or custom field on the other side. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Stock Real-time per-warehouse inventory levels; read-only, pulled into a database or storefront so availability reflects on-hand and backordered quantities. | Labels is specific to Neo4j and Stock to Shipwire — each maps to any object or custom field on the other side. |
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.
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 Shipwire through its API, with automatic retries and rate-limit backoff.
DetectionShipwire notifies Stacksync of record changes through webhook events. Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Shipwire connection.
Changes in Neo4j or Shipwire instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or Shipwire data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Neo4j or Shipwire record.
Track your Neo4j ⇄ Shipwire sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and Shipwire.
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.
Authenticate Neo4j and Shipwire with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Neo4j and Shipwire 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Shipwire: authenticate both systems, choose the objects to sync (such as Neo4j's Databases and Users & Roles), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Neo4j side: Nodes, Relationships, Properties, Labels, plus custom fields where Neo4j exposes them. On the Shipwire side: Rates, Orders, Products, Stock. 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 Neo4j and Shipwire: Controlled write-back; Read the store's data with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Neo4j back into Shipwire, keeping the store authoritative on what it owns.
Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Shipwire: REST API (v3). Authentication: Bearer token sent as `Authorization: ShipwireKey <token>`; up to two keys are generated per account on the Users and Roles page, refreshable/expirable, over HTTPS only (separate sandbox at api.beta.shipwire.com). Stacksync manages authentication, retries, and rate limits on both sides.
Neo4j: Client drivers connect over the Bolt binary protocol rather than HTTP for query workloads. Shipwire: Stock and Rates are effectively read-only (inventory levels and quote estimates); Orders, Products, Receivings, Returns, and Purchase Orders support create and update. Stacksync's field mapping accounts for these differences between Neo4j and Shipwire without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 475 integrations available for Neo4j and Shipwire.