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Data warehouse ⇄ ERP

Apache Hive to Extensiv (3PL Central) integration — real-time, two-way sync

Keep Apache Hive and Extensiv (3PL Central) 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 Extensiv (3PL Central)

Put Extensiv (3PL Central)'s records in Apache Hive as live tables for reporting and analysis, without extract jobs, and write results back where Extensiv (3PL Central) 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 Extensiv (3PL Central) carries financials, operations, workforce data, or all three, the analysis belongs in Apache Hive next to everything else the company measures.

Stacksync syncs Inventory, Orders, Receivers, Shipments from Extensiv (3PL Central) 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 Extensiv (3PL Central) 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.
  • Consolidate order and shipment data across 3PL clients into a reporting database for billing and SLA tracking.
  • Sync commerce or ERP orders into 3PL Central for fulfillment, and sync shipment confirmations with tracking numbers back.

Where Extensiv (3PL Central) 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 Extensiv (3PL Central)'s records with data synced from other systems in Apache Hive for consolidated views no single system can produce.

Write-back where Extensiv (3PL Central) exposes writable fields

Classifications or reference values computed in Apache Hive sync back onto the corresponding records in Extensiv (3PL Central).

What you can sync between Apache Hive and Extensiv (3PL Central)

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 Extensiv (3PL Central) objects
External Tables Tables over existing files in HDFS or object storage, read without moving data. Items SKU masters kept aligned between the merchant's systems and the warehouse.
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Inventory On-hand and available quantities by warehouse, mirrored out to drive channel availability.
Views Logical views readable as modeled sources. Orders Outbound fulfillment orders pushed in from commerce or ERP systems.
Materialized Views Precomputed results available in newer Hive versions for faster reads. Receivers Inbound receiving records (receipts/ASNs) that confirm stock arrival back to purchasing systems.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Shipments Carrier and tracking details synced back once orders ship.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Warehouses Facility records that partition inventory and order routing.
What ships with Apache Hive ⇄ Extensiv (3PL Central)

Connect Apache Hive and Extensiv (3PL Central) for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Extensiv (3PL Central) connection.

Real-time

Two-way sync

Changes in Apache Hive or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or Extensiv (3PL Central) 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 Extensiv (3PL Central) record.

Observability

Monitoring

Track your Apache Hive ⇄ Extensiv (3PL Central) 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 Extensiv (3PL Central).

How the Apache Hive and Extensiv (3PL Central) 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

Extensiv (3PL Central)

Integration surface
REST API
Authentication
Short-lived access tokens obtained from integration client credentials (client ID and secret)
Change detection
Webhook events for order, receipt, item, and inventory changes, with polling on modified-date filters as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits; batch endpoints reduce call volume for order and inventory syncs
How it works

How to connect Apache Hive to Extensiv (3PL Central) — 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 Extensiv (3PL Central) 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
    Extensiv (3PL Central) connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Hive and Extensiv (3PL Central) 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 ⇄ Extensiv (3PL Central)
    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 Extensiv (3PL Central)
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Apache Hive and Extensiv (3PL Central) 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Hive and Extensiv (3PL Central).

Popular · 8 of 386
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