Integrate Odoo Data in Pentaho Data Integration


Build ETL pipelines based on Odoo data in the Pentaho Data Integration tool.

The CData JDBC Driver for Odoo enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Odoo data as a JDBC data source and build jobs and transformations based on Odoo data in Pentaho Data Integration.

About Odoo Data Integration

Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:

  • Access live data from both Odoo API 8.0+ and Odoo.sh Cloud ERP.
  • Extend the native Odoo features with intelligent handling of many-to-one, one-to-many, and many-to-many data properties. CData's connectivity solutions also intelligently handle complex data properties within Odoo. In addition to columns with simple values like text and dates, there are also columns that contain multiple values on each row. The driver decodes these kinds of values differently, depending upon the type of column the value comes from:
    • Many-to-one columns are references to a single row within another model. Within CData solutions, many-to-one columns are represented as integers, whose value is the ID to which they refer in the other model.
    • Many-to-many columns are references to many rows within another model. Within CData solutions, many-to-many columns are represented as text containing a comma-separated list of integers. Each value in that list is the ID of a row that is being referenced.
    • One-to-many columns are references to many rows within another model - they are similar to many-to-many columns (comma-separated lists of integers), except that each row in the referenced model must belong to only one in the main model.
  • Use SQL stored procedures to call server-side RFCs within Odoo.

Users frequently integrate Odoo with analytics tools such as Power BI and Qlik Sense, and leverage our tools to replicate Odoo data to databases or data warehouses.


Getting Started


Configure to Odoo Connectivity

To connect, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Odoo JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.odoo.jar

Fill in the connection properties and copy the connection string to the clipboard.

When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Below is a typical JDBC URL:

jdbc:odoo:User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;

Save your connection string for use in Pentaho Data Integration.

Connect to Odoo from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for Odoo

  1. Click "General"
  2. Set Connection name (e.g. Odoo Connection)
  3. Set Connection type to "Generic database"
  4. Set Access to "Native (JDBC)"
  5. Set Custom connection URL to your Odoo connection string (e.g.
    jdbc:odoo:User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;
  6. Set Custom driver class name to "cdata.jdbc.odoo.OdooDriver"
  7. Test the connection and click "OK" to save.

Create a Data Pipeline for Odoo

Once the connection to Odoo is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

  1. Click "File" >> "New" >> "Transformation/job"
  2. Drag a "Table input" object into the workflow panel and select your Odoo connection.
  3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
  4. Select a table and optionally preview the data for verification.

At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

Free Trial & More Information

Download a free, 30-day trial of the CData JDBC Driver for Odoo and start working with your live Odoo data in Pentaho Data Integration today.

Ready to get started?

Download a free trial of the Odoo Driver to get started:

 Download Now

Learn more:

Odoo Icon Odoo JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Odoo ERP data, including Sales Orders, Purchase Orders, Accounts, and more!

In this article

Related articles