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ERP ⇄ Database

Linnworks to Neo4j integration — real-time, two-way sync

Keep Linnworks 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 Linnworks and Neo4j

Give your engineers Linnworks's data in Neo4j: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors Stock Levels, Locations, Purchase Orders, Suppliers from Linnworks into Neo4j and keeps both sides consistent in real time. Whatever Linnworks is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Neo4j sync back into Linnworks with its validations respected.

Common use cases

  • Feed identity and access data into a graph for entitlement and blast-radius analysis.
  • Write computed relationship scores (fraud, influence, similarity) back to operational systems.
  • Keep stock levels consistent between Linnworks and external systems so multichannel listings stay aligned with sellable stock
  • Mirror processed orders, refunds, and returns into a warehouse for margin reporting across channels

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Linnworks interface, limits, and retries.

React to ERP changes

Updates in Linnworks arrive as row changes in Neo4j, so jobs and triggers can respond as the business record changes.

Where Linnworks is the HR system of record: people data for internal systems

Worker and org records stay current in Neo4j for provisioning, access, and reporting systems that read from the database.

What you can sync between Linnworks 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.

Linnworks objects Neo4j objects
Purchase Orders Replenishment POs sync with suppliers and accounting systems. Users & Roles Security principals controlling what an integration credential can query or modify.
Suppliers Vendor records keep procurement data consistent across tools. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs. Relationships Typed, directed edges that carry the connections syncs exist to model.
Returns & Refunds Post-sale records flow to finance and support systems. Properties Key-value attributes on both nodes and relationships, mapped from source fields.
Shipping Services Carrier and service definitions support label and tracking data in order syncs. Labels Node type markers used to map source tables or objects onto the graph.
Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
What ships with Linnworks ⇄ Neo4j

Connect Linnworks and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Linnworks–Neo4j connection.

Real-time

Two-way sync

Changes in Linnworks or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Linnworks 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 Linnworks or Neo4j record.

Observability

Monitoring

Track your Linnworks ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Linnworks and Neo4j.

How the Linnworks and Neo4j connectors work

Linnworks

Integration surface
REST API
Authentication
Application credentials and an install token exchanged for a session token
Change detection
Polling on order and stock endpoints
Capabilities
read · write
Rate limits
Per-endpoint rate limits apply on the Linnworks API

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 Linnworks 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.

  1. 01

    Connect your apps

    Authenticate Linnworks 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Linnworks connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Linnworks 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Linnworks ⇄ Neo4j
    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
    Linnworks Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Linnworks and Neo4j integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Linnworks and Neo4j.

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