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Database ⇄ ERP

Jdbc to Odoo integration — real-time, two-way sync

Keep Jdbc 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Jdbc and Odoo

Give your engineers Odoo's data in Jdbc: read it with normal queries, write back through the sync, and skip the ERP API entirely.

ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.

Stacksync mirrors CRM Leads (crm.lead), Purchase Orders (purchase.order), Inventory Transfers (stock.picking), Employees (hr.employee) from Odoo into Jdbc and keeps both sides consistent in real time. Whatever Odoo is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Jdbc sync back into Odoo with its validations respected.

Common use cases

  • 01 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
  • 02 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
  • 03 Sync Odoo contacts and CRM leads with an external CRM when sales runs outside Odoo but invoicing stays in it.
  • 04 Push e-commerce orders into Odoo as sales orders and sync fulfillment status back.

Common sync patterns

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Odoo interface, limits, and retries.

React to ERP changes

Updates in Odoo arrive as row changes in Jdbc, so jobs and triggers can respond as the business record changes.

Where Odoo is the HR system of record: people data for internal systems

Worker and org records stay current in Jdbc for provisioning, access, and reporting systems that read from the database.

What you can sync between Jdbc 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.

Jdbc objects Odoo objects How this pairing syncs
Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Invoices (account.move) Customer invoices and journal entries synced with accounting and reporting tools. Views is specific to Jdbc and Invoices (account.move) to Odoo — each maps to any object or custom field on the other side.
Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Products (product.template / product.product) Catalog and variant data distributed to storefronts and quoting tools. Columns is specific to Jdbc and Products (product.template / product.product) to Odoo — each maps to any object or custom field on the other side.
Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. CRM Leads (crm.lead) Leads and opportunities synced with marketing and enrichment systems. Primary keys & indexes is specific to Jdbc and CRM Leads (crm.lead) to Odoo — each maps to any object or custom field on the other side.
Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems. Schemas & catalogs is specific to Jdbc and Purchase Orders (purchase.order) to Odoo — each maps to any object or custom field on the other side.
Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility. Stored procedures & functions is specific to Jdbc and Inventory Transfers (stock.picking) to Odoo — each maps to any object or custom field on the other side.
Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Employees (hr.employee) HR records read for directory and provisioning syncs. Sequences is specific to Jdbc and Employees (hr.employee) to Odoo — each maps to any object or custom field on the other side.

How changes propagate between Jdbc and Odoo

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Jdbc Odoo Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is written to Odoo through its API, with automatic retries and rate-limit backoff.

Odoo Jdbc Sub-second propagation

DetectionOdoo notifies Stacksync of record changes through webhook events. Polling on the write_date timestamp every record carries.

DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
  • Odoo: Self-hosted instances have no fixed rate limits; Odoo Online is subject to the platform's fair-use limits.
What ships with Jdbc ⇄ Odoo

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jdbc 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 Jdbc or Odoo record.

Observability

Monitoring

Track your Jdbc ⇄ Odoo sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jdbc and Odoo.

How the Jdbc and Odoo connectors work

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.

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 Jdbc 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 Jdbc 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
    Jdbc connected
    Odoo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jdbc 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 · Jdbc ⇄ 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
    Jdbc Odoo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jdbc and Odoo integration FAQ

SECURITY

Security teams trust 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
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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 445 integrations available for Jdbc and Odoo.

Popular · 6 of 445
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