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Database ⇄ ERP

Neo4j to QAD ERP integration — real-time, two-way sync

Keep Neo4j and QAD ERP in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Neo4j and QAD ERP

Give your engineers QAD ERP'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 Sales orders, Purchase orders, Work orders, Inventory balances from QAD ERP into Neo4j and keeps both sides consistent in real time. Whatever QAD ERP 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 QAD ERP with its validations respected.

Common use cases

  • 01 Sync product catalog and order history into Neo4j to power recommendation queries.
  • 02 Feed identity and access data into a graph for entitlement and blast-radius analysis.
  • 03 Keep supplier and purchase-order records aligned with procurement or AP automation tools.
  • 04 Consolidate data from multiple QAD instances, per plant or region, into one reporting database.

Common sync patterns

Read ERP records with a query

Records from QAD ERP 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 QAD ERP interface, limits, and retries.

React to ERP changes

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

What you can sync between Neo4j and QAD ERP

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 QAD ERP objects How this pairing syncs
Properties Key-value attributes on both nodes and relationships, mapped from source fields. Sales orders Demand records written in from EDI or e-commerce and read out for status Properties is specific to Neo4j and Sales orders to QAD ERP — 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. Purchase orders Procurement documents mirrored to planning and finance systems Labels is specific to Neo4j and Purchase orders to QAD ERP — each maps to any object or custom field on the other side.
Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Work orders Production records replicated for scheduling and shop-floor analytics Indexes & Constraints is specific to Neo4j and Work orders to QAD ERP — each maps to any object or custom field on the other side.
Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. Inventory balances Stock levels by site and location, synced for multi-plant visibility Databases is specific to Neo4j and Inventory balances to QAD ERP — 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. General ledger transactions Financial postings exported for consolidated reporting Users & Roles is specific to Neo4j and General ledger transactions to QAD ERP — 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. Items Item master records shared with CRM, e-commerce, and planning systems Nodes is specific to Neo4j and Items to QAD ERP — each maps to any object or custom field on the other side.

How changes propagate between Neo4j and QAD ERP

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.

Neo4j QAD ERP 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 QAD ERP through its API, with automatic retries and rate-limit backoff.

QAD ERP Neo4j Interval-based propagation

DetectionStacksync polls QAD ERP for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the API surface.

DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • QAD ERP: Subject to instance capacity and the platform's API limits.
What ships with Neo4j ⇄ QAD ERP

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Neo4j or QAD ERP 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 Neo4j or QAD ERP record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Neo4j and QAD ERP connectors work

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

QAD ERP

Integration surface
REST APIs plus the QXtend XML integration framework
Authentication
instance credentials; specifics depend on the deployment and version
Change detection
polling on the API surface; document-based event exchange available through QXtend in supported configurations
Capabilities
read · write
Rate limits
subject to instance capacity and the platform's API limits
How it works

How to connect Neo4j to QAD ERP — 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 Neo4j and QAD ERP 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
    Neo4j connected
    QAD ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Neo4j and QAD ERP 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 · Neo4j ⇄ QAD ERP
    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
    Neo4j QAD ERP
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Neo4j and QAD ERP 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.

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 516 integrations available for Neo4j and QAD ERP.

Popular · 6 of 516
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