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Data warehouse ⇄ ERP

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

Keep Apache Impala 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

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Why teams connect Apache Impala and Infor LN

Put Infor LN's records in Apache Impala as live tables for reporting and analysis, without extract jobs, and write results back where Infor LN can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Infor LN carries financials, operations, workforce data, or all three, the analysis belongs in Apache Impala next to everything else the company measures.

Stacksync syncs Purchase orders, Production orders, Warehouse / inventory, Projects from Infor LN into tables in Apache Impala continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Impala can be written back to fields in Infor LN where that is useful.

Common use cases

  • Sync mutable reference data into Kudu tables via Impala so row-level updates are possible on the Hadoop side.
  • Read new partitions incrementally from Parquet tables and land them in a cloud warehouse during migration.
  • Run a two-way sync of business partners between LN and a CRM so sales and manufacturing share account data.
  • Keep inventory positions aligned between LN and distribution or aftermarket service systems.

Write-back where Infor LN exposes writable fields

Classifications or reference values computed in Apache Impala sync back onto the corresponding records in Infor LN.

Where Infor LN holds the books: finance reporting from live data

Financial records land in Apache Impala as they change, so period-end reporting queries current numbers rather than last night's extract.

Where Infor LN is the HR system of record: workforce analytics

Worker and organization data syncs into Apache Impala for headcount, cost, and planning analysis alongside other company data.

What you can sync between Apache Impala 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 Impala objects Infor LN objects
External Tables Tables over files loaded by other tools, queryable without data movement. Sales orders Demand documents synced in from EDI and commerce channels.
Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. Purchase orders Supply documents shared with supplier and procurement systems.
Databases Namespaces shared with the Hive Metastore that scope tables. Production orders Shop-floor work orders synced with MES for execution visibility.
Tables HDFS or object-storage backed tables (commonly Parquet) read at interactive speed. Warehouse / inventory Stock positions exposed so external channels reflect real availability.
Partitions Partition values used to limit scans and drive incremental reads. Projects Project structures used in engineer-to-order manufacturing scenarios.
Views Logical views readable as modeled sources. Service orders Aftermarket service documents synced with field service tools.
What ships with Apache Impala ⇄ Infor LN

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

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

Real-time

Two-way sync

Changes in Apache Impala 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 Impala 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 Impala or Infor LN record.

Observability

Monitoring

Track your Apache Impala ⇄ 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 Impala and Infor LN.

How the Apache Impala and Infor LN connectors work

Apache Impala

Integration surface
SQL over JDBC/ODBC (HiveServer2-compatible protocol)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition or timestamp columns; no change log exposed for external consumers
Capabilities
read · write
Rate limits
No API quotas; concurrency is bounded by cluster resources and admission control settings

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 Impala 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 Impala 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 Impala connected
    Infor LN connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Impala 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.

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 Apache Impala and Infor LN.

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