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Data warehouse ⇄ ERP

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

Keep Apache Hive and Odoo 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 Odoo

Put Odoo's records in Apache Hive as live tables for reporting and analysis, without extract jobs, and write results back where Odoo 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 Odoo 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 (purchase.order), Inventory Transfers (stock.picking), Employees (hr.employee), Projects and Tasks (project.project / project.task) from Odoo 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 Odoo 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.
  • Mirror invoices and journal entries into a warehouse for consolidated financial reporting across entities.
  • Keep product and price list data aligned between Odoo and storefronts or marketplaces.

Where Odoo 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 Odoo 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 Odoo'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 Odoo

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 Odoo objects
Materialized Views Precomputed results available in newer Hive versions for faster reads. Invoices (account.move) Customer invoices and journal entries synced with accounting and reporting tools.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Products (product.template / product.product) Catalog and variant data distributed to storefronts and quoting tools.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. CRM Leads (crm.lead) Leads and opportunities synced with marketing and enrichment systems.
Databases Metastore namespaces that scope tables and grants. Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems.
Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility.
External Tables Tables over existing files in HDFS or object storage, read without moving data. Employees (hr.employee) HR records read for directory and provisioning syncs.
What ships with Apache Hive ⇄ Odoo

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive or Odoo 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 Odoo record.

Observability

Monitoring

Track your Apache Hive ⇄ Odoo 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 Odoo.

How the Apache Hive and Odoo 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

Odoo

Integration surface
XML-RPC and JSON-RPC external API exposing the full ORM (search_read, create, write, unlink)
Authentication
Database user credentials or per-user API keys
Change detection
Polling on the write_date timestamp every record carries; recent versions can also send outbound webhooks from automation rules
Capabilities
read · write · webhooks
Rate limits
Self-hosted instances have no fixed rate limits; Odoo Online is subject to the platform's fair-use limits
How it works

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

    Choose tables

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

Apache Hive and Odoo 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 Odoo.

Popular · 8 of 386
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