Two-way sync
Changes in Apache Hive or Odoo instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Worker and organization data syncs into Apache Hive for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Apache Hive, joinable with sales and finance data.
Combine Odoo's records with data synced from other systems in Apache Hive for consolidated views no single system can produce.
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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–Odoo connection.
Changes in Apache Hive or Odoo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive or Odoo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Hive or Odoo record.
Track your Apache Hive ⇄ Odoo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive and Odoo.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apache Hive and Odoo: authenticate both systems, choose the objects to sync (such as Apache Hive's Materialized Views and ACID Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Apache Hive and Odoo: Where Odoo is the HR system of record: workforce analytics; Where Odoo runs operations: order and supply analysis; Group reporting across systems. Worker and organization data syncs into Apache Hive for headcount, cost, and planning analysis alongside other company data.
Apache Hive: SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. Odoo: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Apache Hive: Row-level ACID transactions are supported on ORC-backed transactional tables in Hive 3, but classic tables remain append-oriented. Odoo: Hosting mode matters: self-hosted and Odoo.sh instances allow deeper access than Odoo Online, which restricts custom server code. Stacksync's field mapping accounts for these differences between Apache Hive and Odoo without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Apache Hive and Odoo records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Hive and Odoo.