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ERP ⇄ Database

Infor LN to Jdbc integration — real-time, two-way sync

Keep Infor LN and Jdbc 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 Infor LN and Jdbc

Give your engineers Infor LN's data in Jdbc: 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 Production orders, Warehouse / inventory, Projects, Service orders from Infor LN into Jdbc 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 Jdbc sync back into Infor LN with its validations respected.

Common use cases

  • 01 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.
  • 02 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
  • 03 Flow EDI and ecommerce sales orders into LN and return order status and shipment confirmations.
  • 04 Replicate LN data into a warehouse for production, OTIF, and supply chain reporting.

Common sync patterns

Internal tools and automations without API code

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

React to ERP changes

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

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

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

What you can sync between Infor LN and Jdbc

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 Jdbc objects How this pairing syncs
Bills of material Product structures shared with engineering and planning tools. Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Bills of material is specific to Infor LN and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side.
Business partners LN's unified customer/supplier records matched against CRM accounts. Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Business partners is specific to Infor LN and Sequences to Jdbc — each maps to any object or custom field on the other side.
Sales orders Demand documents synced in from EDI and commerce channels. Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Sales orders is specific to Infor LN and Tables to Jdbc — each maps to any object or custom field on the other side.
Purchase orders Supply documents shared with supplier and procurement systems. Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Purchase orders is specific to Infor LN and Views to Jdbc — each maps to any object or custom field on the other side.
Production orders Shop-floor work orders synced with MES for execution visibility. Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Production orders is specific to Infor LN and Columns to Jdbc — each maps to any object or custom field on the other side.
Warehouse / inventory Stock positions exposed so external channels reflect real availability. Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. Warehouse / inventory is specific to Infor LN and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between Infor LN and Jdbc

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.

Infor LN Jdbc Interval-based propagation

DetectionStacksync polls Infor LN for changes on an incremental schedule, reading only records changed since the previous pass. Event-style BOD publications through Infor ION where configured.

DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.

Jdbc Infor LN Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

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

Rate-limit considerations

  • Infor LN: Subject to the ION API gateway's tenant rate limits in cloud deployments.
  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Infor LN ⇄ Jdbc

Connect Infor LN and Jdbc for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Infor LN or Jdbc 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 LN or Jdbc record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Infor LN and Jdbc.

How the Infor LN and Jdbc connectors work

Infor LN

Integration surface
SOAP and REST web services, with standardized BOD exchange through Infor ION in Infor OS deployments
Authentication
OAuth 2.0 via the ION API gateway in cloud deployments; application credentials on premises
Change detection
Event-style BOD publications through Infor ION where configured; otherwise polling
Capabilities
read · write
Rate limits
Subject to the ION API gateway's tenant rate limits in cloud deployments.

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
How it works

How to connect Infor LN to Jdbc — 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 LN and Jdbc 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 LN connected
    Jdbc connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Infor LN and Jdbc 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 LN ⇄ Jdbc
    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 LN Jdbc
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Infor LN and Jdbc 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.

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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 430 integrations available for Infor LN and Jdbc.

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