Two-way sync
Changes in Infor LN or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Keep Infor LN 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.
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 Business partners, Sales orders, Purchase orders, Production orders from Infor LN into Neo4j and keeps both sides consistent in real time. Whatever Infor LN 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 LN with its validations respected.
Choose exactly which tables and fields may flow from Neo4j back into Infor LN, keeping the ERP authoritative.
Records from Infor LN 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 Infor LN interface, 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.
| Infor LN objects | Neo4j objects | |
|---|---|---|
| Items Manufacturing item masters synced to PLM, MES, and commerce systems. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | |
| Bills of material Product structures shared with engineering and planning tools. | Relationships Typed, directed edges that carry the connections syncs exist to model. | |
| Business partners LN's unified customer/supplier records matched against CRM accounts. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | |
| Sales orders Demand documents synced in from EDI and commerce channels. | Labels Node type markers used to map source tables or objects onto the graph. | |
| Purchase orders Supply documents shared with supplier and procurement systems. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | |
| Production orders Shop-floor work orders synced with MES for execution visibility. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor LN–Neo4j connection.
Changes in Infor LN or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Infor LN or Neo4j data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Infor LN or Neo4j record.
Track your Infor LN ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Infor LN and Neo4j.
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 Infor LN 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.
Pick the Infor LN 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.
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 Infor LN and Neo4j: authenticate both systems, choose the objects to sync (such as Infor LN's Items and Bills of material), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Infor LN and Neo4j. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Infor LN: Event-style BOD publications through Infor ION where configured; otherwise polling. On Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Neo4j side: Properties, Labels, Indexes & Constraints, Databases, plus custom fields where Neo4j exposes them. On the Infor LN side: Business partners, Sales orders, Purchase orders, Production orders. 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 Infor LN and Neo4j: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Neo4j back into Infor LN, keeping the ERP authoritative.
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 386 integrations available for Infor LN and Neo4j.