Two-way sync
Changes in Apache Cassandra or Infor LN instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Choose exactly which tables and fields may flow from Apache Cassandra back into Infor LN, keeping the ERP authoritative.
Records from Infor LN live in Apache Cassandra 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.
| 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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Infor LN connection.
Changes in Apache Cassandra or Infor LN instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Infor LN data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Cassandra or Infor LN record.
Track your Apache Cassandra ⇄ Infor LN sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Infor LN.
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 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.
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.
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 Apache Cassandra and Infor LN: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Partitions and Rows and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Apache Cassandra side: Collections, Counters, Keyspaces, Tables, plus custom fields where Apache Cassandra exposes them. On the Infor LN side: Purchase orders, Production orders, Warehouse / inventory, Projects. 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 Apache Cassandra and Infor LN: 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 Apache Cassandra back into Infor LN, keeping the ERP authoritative.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Infor LN: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Cassandra: Data modeling is query-first and denormalized: tables are designed around partition keys, and there are no joins, so syncs address rows by partition and clustering keys. Infor LN: Infor LN descends from Baan ERP and remains focused on discrete manufacturing, with adoption in automotive and industrial supply chains. Stacksync's field mapping accounts for these differences between Apache Cassandra and Infor LN without custom code.
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 Apache Cassandra and Infor LN.