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Data warehouse ⇄ ERP

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

Keep Apache Hive and Körber 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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  • 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 Hive and Körber WMS

Put Körber WMS's records in Apache Hive as live tables for reporting and analysis, without extract jobs, and write results back where Körber 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 Körber 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, Orders, Shipments, Locations from Körber 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 Körber WMS where that is useful.

Common use cases

  • Extract curated Hive tables into operational databases or SaaS tools so business teams use data locked in Hadoop.
  • Load records from CRMs and databases into partitioned Hive tables for long-term analytical storage.
  • Push orders from the ERP into the WMS for fulfillment and return shipment confirmations automatically
  • Mirror receiving and ASN data into procurement systems for inbound visibility

Write-back where Körber WMS exposes writable fields

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

Where Körber WMS holds the books: finance reporting from live data

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

Where Körber WMS is the HR system of record: workforce analytics

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

What you can sync between Apache Hive and Körber 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 Körber WMS objects
External Tables Tables over existing files in HDFS or object storage, read without moving data. Inventory On-hand quantities by location feed availability in order-taking systems.
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Receipts / ASNs Inbound notices and receipt confirmations sync with procurement systems.
Views Logical views readable as modeled sources. Orders Outbound orders arrive from the ERP or OMS for allocation and fulfillment.
Materialized Views Precomputed results available in newer Hive versions for faster reads. Shipments Ship confirmations and tracking references return to the order source system.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Locations Bin and zone definitions scope inventory data during mapping.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Tasks Warehouse task data supports labor and throughput reporting.
What ships with Apache Hive ⇄ Körber WMS

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

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

Real-time

Two-way sync

Changes in Apache Hive or Körber 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 Körber 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 Körber WMS record.

Observability

Monitoring

Track your Apache Hive ⇄ Körber 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 Körber WMS.

How the Apache Hive and Körber 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

Körber WMS

Integration surface
Varies by deployment; typically host-interface messages, file exchange, or vendor APIs via middleware
Authentication
Credentials issued per deployment
Change detection
Polling or message/file-based export from the WMS host interface
Capabilities
read · write
Rate limits
Constrained by deployment architecture rather than published API rate limits
How it works

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

    Choose tables

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

Apache Hive and Körber 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
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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 Körber WMS.

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