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Data warehouse ⇄ ERP

Apache Hive to QAD ERP integration — real-time, two-way sync

Keep Apache Hive and QAD ERP 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 QAD ERP

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

Stacksync syncs Suppliers, Sales orders, Purchase orders, Work orders from QAD ERP 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 QAD ERP 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.
  • Sync items, customers, and orders between QAD and a CRM so sales teams work outside ERP screens.
  • Replicate inventory and work-order data into a warehouse for supply chain analytics across plants.

Where QAD ERP 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.

Where QAD ERP 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 QAD ERP's records with data synced from other systems in Apache Hive for consolidated views no single system can produce.

What you can sync between Apache Hive and QAD ERP

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 QAD ERP objects
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Sales orders Demand records written in from EDI or e-commerce and read out for status
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Purchase orders Procurement documents mirrored to planning and finance systems
Databases Metastore namespaces that scope tables and grants. Work orders Production records replicated for scheduling and shop-floor analytics
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Inventory balances Stock levels by site and location, synced for multi-plant visibility
External Tables Tables over existing files in HDFS or object storage, read without moving data. General ledger transactions Financial postings exported for consolidated reporting
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Items Item master records shared with CRM, e-commerce, and planning systems
What ships with Apache Hive ⇄ QAD ERP

Connect Apache Hive and QAD ERP for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or QAD ERP 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 QAD ERP record.

Observability

Monitoring

Track your Apache Hive ⇄ QAD ERP 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 QAD ERP.

How the Apache Hive and QAD ERP 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

QAD ERP

Integration surface
REST APIs plus the QXtend XML integration framework
Authentication
instance credentials; specifics depend on the deployment and version
Change detection
polling on the API surface; document-based event exchange available through QXtend in supported configurations
Capabilities
read · write
Rate limits
subject to instance capacity and the platform's API limits
How it works

How to connect Apache Hive to QAD ERP — 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 QAD ERP 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
    QAD ERP connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Hive and QAD ERP 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.

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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 QAD ERP.

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