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Database ⇄ ERP

Neo4j to Odoo integration — real-time, two-way sync

Keep Neo4j 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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Migrated from Mulesoft
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Migrated from Fivetran
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Why teams connect Neo4j and Odoo

Give your engineers Odoo's data in Neo4j: 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 Projects and Tasks (project.project / project.task), Contacts (res.partner), Sales Orders (sale.order), Invoices (account.move) from Odoo into Neo4j 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 Neo4j sync back into Odoo with its validations respected.

Common use cases

  • Sync product catalog and order history into Neo4j to power recommendation queries.
  • Feed identity and access data into a graph for entitlement and blast-radius analysis.
  • Sync Odoo contacts and CRM leads with an external CRM when sales runs outside Odoo but invoicing stays in it.
  • Push e-commerce orders into Odoo as sales orders and sync fulfillment status back.

Read ERP records with a query

Records from Odoo live in Neo4j as ordinary tables or collections, joinable with the rest of your data.

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 Neo4j, so jobs and triggers can respond as the business record changes.

What you can sync between Neo4j 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.

Neo4j objects Odoo objects
Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Purchase Orders (purchase.order) Procurement documents shared with supplier-facing systems.
Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility.
Users & Roles Security principals controlling what an integration credential can query or modify. Employees (hr.employee) HR records read for directory and provisioning syncs.
Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Projects and Tasks (project.project / project.task) Work items synced with external project tools.
Relationships Typed, directed edges that carry the connections syncs exist to model. Contacts (res.partner) The unified person/company record used across sales, invoicing, and purchasing; the anchor for CRM syncs.
Properties Key-value attributes on both nodes and relationships, mapped from source fields. Sales Orders (sale.order) Quotations and confirmed orders synced with e-commerce and external CRMs.
What ships with Neo4j ⇄ Odoo

Connect Neo4j and Odoo for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Odoo connection.

Real-time

Two-way sync

Changes in Neo4j or Odoo instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Neo4j 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 Neo4j or Odoo record.

Observability

Monitoring

Track your Neo4j ⇄ Odoo sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Neo4j and Odoo.

How the Neo4j and Odoo connectors work

Neo4j

Integration surface
Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
Authentication
Username/password (basic auth); enterprise deployments add SSO options
Change detection
Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
Capabilities
read · write · CDC

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 Neo4j 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 Neo4j 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
    Neo4j connected
    Odoo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Neo4j 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 · Neo4j ⇄ 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
    Neo4j Odoo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Neo4j 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 Neo4j and Odoo.

Popular · 8 of 386
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