Skip to content
Database ⇄ ERP

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

Keep Apache Cassandra and Infor LN 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Cassandra and Infor LN

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

Common use cases

  • Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
  • Replicate LN data into a warehouse for production, OTIF, and supply chain reporting.
  • Run a two-way sync of business partners between LN and a CRM so sales and manufacturing share account data.

Controlled write-back

Choose exactly which tables and fields may flow from Apache Cassandra back into Infor LN, keeping the ERP authoritative.

Read ERP records with a query

Records from Infor LN live in Apache Cassandra 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 LN interface, limits, and retries.

What you can sync between Apache Cassandra and Infor LN

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.

Apache Cassandra objects Infor LN objects
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Projects Project structures used in engineer-to-order manufacturing scenarios.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Service orders Aftermarket service documents synced with field service tools.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Items Manufacturing item masters synced to PLM, MES, and commerce systems.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. Bills of material Product structures shared with engineering and planning tools.
Collections List, set, and map columns handled with type-aware field mapping. Business partners LN's unified customer/supplier records matched against CRM accounts.
Counters Increment-only counter columns, usually read-only in syncs. Sales orders Demand documents synced in from EDI and commerce channels.
What ships with Apache Cassandra ⇄ Infor LN

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Infor LN 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 Apache Cassandra or Infor LN record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Cassandra and Infor LN connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

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.
How it works

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

    Choose tables

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

Apache Cassandra and Infor LN 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Cassandra and Infor LN.

Popular · 8 of 386
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.