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Data warehouse ⇄ ERP

Apache Hive to Cin7 integration — real-time, two-way sync

Keep Apache Hive and Cin7 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 Cin7

Put Cin7's records in Apache Hive as live tables for reporting and analysis, without extract jobs, and write results back where Cin7 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 Cin7 carries financials, operations, workforce data, or all three, the analysis belongs in Apache Hive next to everything else the company measures.

Stacksync syncs Purchase orders, Contacts, Branches / locations, Stock adjustments and transfers from Cin7 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 Cin7 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.
  • Publish Cin7 inventory levels to storefronts, marketplaces, and a CRM so every channel quotes real availability.
  • Sync sales orders from Cin7 into an accounting platform or warehouse for revenue and margin reporting.

Group reporting across systems

Combine Cin7's records with data synced from other systems in Apache Hive for consolidated views no single system can produce.

Write-back where Cin7 exposes writable fields

Classifications or reference values computed in Apache Hive sync back onto the corresponding records in Cin7.

Where Cin7 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 Cin7

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 Cin7 objects
Databases Metastore namespaces that scope tables and grants. Products SKU records with options and pricing, synced with storefront and marketplace catalogs.
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Inventory levels Stock on hand by branch or location, published outward for availability.
External Tables Tables over existing files in HDFS or object storage, read without moving data. Sales orders Orders captured from all channels; the main object for fulfillment and revenue syncs.
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Purchase orders Supplier orders synced with procurement and accounting workflows.
Views Logical views readable as modeled sources. Contacts Customers and suppliers, matched to CRM records to keep account data consistent.
Materialized Views Precomputed results available in newer Hive versions for faster reads. Branches / locations Warehouse entities that scope every stock movement and order allocation.
What ships with Apache Hive ⇄ Cin7

Connect Apache Hive and Cin7 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Cin7 connection.

Real-time

Two-way sync

Changes in Apache Hive or Cin7 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or Cin7 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 Cin7 record.

Observability

Monitoring

Track your Apache Hive ⇄ Cin7 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 Cin7.

How the Apache Hive and Cin7 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

Cin7

Integration surface
REST API; note that Cin7 Omni and Cin7 Core (formerly DEAR Systems) are separate products with separate APIs
Authentication
API key credentials (paired with a username or account ID, depending on the product)
Change detection
Polling on modified-date filters; webhook support exists on some editions for order and stock events
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that differ between Cin7 Omni and Cin7 Core
How it works

How to connect Apache Hive to Cin7 — 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 Cin7 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
    Cin7 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Hive and Cin7 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 ⇄ Cin7
    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 Cin7
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Hive and Cin7 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 Cin7.

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