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Data warehouse ⇄ ERP

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

Keep Apache Hive and Logiwa 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 Logiwa WMS

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

Stacksync syncs Inventory, Products (SKUs), Shipments, Warehouses & Locations from Logiwa 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 Logiwa WMS where that is useful.

Common use cases

  • Load records from CRMs and databases into partitioned Hive tables for long-term analytical storage.
  • Sync new date partitions incrementally instead of rescanning full tables.
  • Keep the product catalog consistent between the ERP item master and the WMS.
  • Land order and fulfillment data in a warehouse for throughput and SLA reporting.

Group reporting across systems

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

Write-back where Logiwa WMS exposes writable fields

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

Where Logiwa 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.

What you can sync between Apache Hive and Logiwa 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 Logiwa WMS objects
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Returns Return receipts synced so ERPs and support tools reflect restocked inventory.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Shipment Orders Outbound fulfillment orders created from connected storefronts or an OMS and updated as they move through picking and packing.
Databases Metastore namespaces that scope tables and grants. Purchase Orders Inbound receipt expectations synced from the ERP or procurement system to drive receiving.
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Inventory On-hand and available stock levels read out to keep storefronts, ERPs, and analytics stores current.
External Tables Tables over existing files in HDFS or object storage, read without moving data. Products (SKUs) Item master records kept consistent between the ERP or ecommerce catalog and the WMS.
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Shipments Carrier, tracking, and ship-confirm data pushed back to order sources after dispatch.
What ships with Apache Hive ⇄ Logiwa WMS

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

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

Real-time

Two-way sync

Changes in Apache Hive or Logiwa 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 Logiwa 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 Logiwa WMS record.

Observability

Monitoring

Track your Apache Hive ⇄ Logiwa 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 Logiwa WMS.

How the Apache Hive and Logiwa 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

Logiwa WMS

Integration surface
REST API
Authentication
API key / token
Change detection
Polling on order and inventory endpoints using modified timestamps, subject to the platform's API rate limits
Capabilities
read · write
Rate limits
Subject to the platform's published API rate limits.
How it works

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

    Choose tables

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

Apache Hive and Logiwa 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 Logiwa WMS.

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