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Data warehouse ⇄ ERP

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

Keep Databricks 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 Databricks and Odoo

Put Odoo's records in Databricks 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 Databricks next to everything else the company measures.

Stacksync syncs Inventory Transfers (stock.picking), Employees (hr.employee), Projects and Tasks (project.project / project.task), Contacts (res.partner) from Odoo into tables in Databricks continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Databricks can be written back to fields in Odoo where that is useful.

Common use cases

  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • 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 holds the books: finance reporting from live data

Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.

Where Odoo is the HR system of record: workforce analytics

Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.

Where Odoo runs operations: order and supply analysis

Operational records become queryable tables in Databricks, joinable with sales and finance data.

What you can sync between Databricks 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.

Databricks objects Odoo objects
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Inventory Transfers (stock.picking) Delivery and receipt operations synced for fulfillment visibility.
Volumes Unity Catalog file storage used for staging bulk loads. Employees (hr.employee) HR records read for directory and provisioning syncs.
SQL Warehouses The compute endpoint a sync connects to for query execution. Projects and Tasks (project.project / project.task) Work items synced with external project tools.
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Contacts (res.partner) The unified person/company record used across sales, invoicing, and purchasing; the anchor for CRM syncs.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Sales Orders (sale.order) Quotations and confirmed orders synced with e-commerce and external CRMs.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Invoices (account.move) Customer invoices and journal entries synced with accounting and reporting tools.
What ships with Databricks ⇄ Odoo

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks 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 Databricks or Odoo record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Databricks and Odoo connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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

    Choose tables

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

Databricks 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.

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 Databricks and Odoo.

Popular · 8 of 386
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