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Data warehouse ⇄ ERP

Apache Hive to Infor WMS integration — real-time, two-way sync

Keep Apache Hive and Infor WMS 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 Apache Hive and Infor WMS

Put Infor WMS's records in Apache Hive as live tables for reporting and analysis, without extract jobs, and write results back where Infor WMS 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 WMS carries financials, operations, workforce data, or all three, the analysis belongs in Apache Hive next to everything else the company measures.

Stacksync syncs Receipts / ASNs, Shipment Orders, Waves, Tasks from Infor WMS into tables in Apache Hive continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Hive can be written back to fields in Infor WMS where that is useful.

Common use cases

  • Publish Hive aggregate tables to a faster serving database for dashboards.
  • Bridge a legacy Hadoop warehouse to a cloud warehouse during migration by syncing tables continuously.
  • Push sales orders from an ERP into the WMS for wave planning and picking, then return status updates
  • Send shipment confirmations and tracking numbers back to the order system when the WMS ships

Where Infor WMS runs operations: order and supply analysis

Operational records become queryable tables in Apache Hive, joinable with sales and finance data.

Group reporting across systems

Combine Infor WMS's records with data synced from other systems in Apache Hive for consolidated views no single system can produce.

Write-back where Infor WMS exposes writable fields

Classifications or reference values computed in Apache Hive sync back onto the corresponding records in Infor WMS.

What you can sync between Apache Hive and Infor WMS

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 Hive objects Infor WMS objects
Materialized Views Precomputed results available in newer Hive versions for faster reads. Shipment Orders Outbound orders arrive from the ERP or OMS for allocation and picking.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Waves Wave assignments group orders for fulfillment and can be reported outward.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Tasks Warehouse task data supports labor and productivity reporting in BI tools.
Databases Metastore namespaces that scope tables and grants. Locations Bin and zone definitions scope inventory records during mapping.
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Shipments Ship confirmations and tracking references flow back to the order source system.
External Tables Tables over existing files in HDFS or object storage, read without moving data. Appointments Dock appointment data coordinates carriers and yard operations with external schedules.
What ships with Apache Hive ⇄ Infor WMS

Connect Apache Hive and Infor WMS for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or Infor WMS 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 Hive or Infor WMS record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Hive and Infor WMS.

How the Apache Hive and Infor WMS connectors work

Apache Hive

Integration surface
SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition values or timestamp columns; no general-purpose change log for external consumers
Capabilities
read · write
Rate limits
No API quotas; query latency reflects the batch-oriented execution engine underneath

Infor WMS

Integration surface
REST API via the Infor OS / ION API gateway (cloud deployments run inside Infor CloudSuite)
Authentication
OAuth 2.0 via Infor OS
Change detection
ION event publishing or scheduled polling of API endpoints
Capabilities
read · write · webhooks
Rate limits
Subject to Infor ION API gateway throttling policies
How it works

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

    Choose tables

    Pick the Apache Hive and Infor WMS 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 Hive ⇄ Infor WMS
    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 Hive Infor WMS
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Hive and Infor WMS 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
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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 Hive and Infor WMS.

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