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Data warehouse ⇄ ERP

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

Keep Apache Hive and Linnworks 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 Hive and Linnworks

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

Stacksync syncs Stock Items, Stock Levels, Locations, Purchase Orders from Linnworks 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 Linnworks 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.
  • Sync orders from Linnworks into an ERP or accounting system as they are processed, without CSV exports
  • Keep stock levels consistent between Linnworks and external systems so multichannel listings stay aligned with sellable stock

Where Linnworks 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 Linnworks 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 Linnworks'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 Linnworks

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 Linnworks objects
Materialized Views Precomputed results available in newer Hive versions for faster reads. Stock Items SKU records keep product data aligned with ERPs and PIMs.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Stock Levels Per-location quantities sync outward so channels and planning tools reflect current availability.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Locations Warehouse and fulfillment location records scope stock data during mapping.
Databases Metastore namespaces that scope tables and grants. Purchase Orders Replenishment POs sync with suppliers and accounting systems.
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Suppliers Vendor records keep procurement data consistent across tools.
External Tables Tables over existing files in HDFS or object storage, read without moving data. Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs.
What ships with Apache Hive ⇄ Linnworks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or Linnworks 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 Linnworks record.

Observability

Monitoring

Track your Apache Hive ⇄ Linnworks 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 Linnworks.

How the Apache Hive and Linnworks 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

Linnworks

Integration surface
REST API
Authentication
Application credentials and an install token exchanged for a session token
Change detection
Polling on order and stock endpoints
Capabilities
read · write
Rate limits
Per-endpoint rate limits apply on the Linnworks API
How it works

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

    Choose tables

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

Apache Hive and Linnworks 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 Hive and Linnworks.

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