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ERP ⇄ Database

Infor M3 to Neo4j integration — real-time, two-way sync

Keep Infor M3 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 Infor M3 and Neo4j

Give your engineers Infor M3'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 Customers, Suppliers, Customer Orders, Purchase Orders from Infor M3 into Neo4j and keeps both sides consistent in real time. Whatever Infor M3 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 Infor M3 with its validations respected.

Common use cases

  • Sync product catalog and order history into Neo4j to power recommendation queries.
  • Feed identity and access data into a graph for entitlement and blast-radius analysis.
  • Consolidate M3 transactional data into an analytics database for cross-plant reporting
  • Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock

Read ERP records with a query

Records from Infor M3 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 Infor M3 interface, limits, and retries.

React to ERP changes

Updates in Infor M3 arrive as row changes in Neo4j, so jobs and triggers can respond as the business record changes.

What you can sync between Infor M3 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.

Infor M3 objects Neo4j objects
Invoices Billing documents flow to finance and CRM tools for AR visibility. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
Warehouses Warehouse and facility records scope inventory and order data during mapping. Relationships Typed, directed edges that carry the connections syncs exist to model.
Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. Properties Key-value attributes on both nodes and relationships, mapped from source fields.
Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. Labels Node type markers used to map source tables or objects onto the graph.
Customers Customer master records sync with CRM account records to keep one shared customer file. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
Suppliers Supplier records align procurement tools with the vendors M3 purchases from. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs.
What ships with Infor M3 ⇄ Neo4j

Connect Infor M3 and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–Neo4j connection.

Real-time

Two-way sync

Changes in Infor M3 or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Infor M3 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 Infor M3 or Neo4j record.

Observability

Monitoring

Track your Infor M3 ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Infor M3 and Neo4j.

How the Infor M3 and Neo4j connectors work

Infor M3

Integration surface
REST API (M3 API programs exposed through the Infor ION API gateway)
Authentication
OAuth 2.0 via Infor OS / ION API authorization
Change detection
Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints
Capabilities
read · write · webhooks
Rate limits
Subject to Infor ION API gateway throttling policies

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 Infor M3 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 Infor M3 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
    Infor M3 connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Infor M3 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 · Infor M3 ⇄ 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
    Infor M3 Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Infor M3 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 Infor M3 and Neo4j.

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