Create Datasets from Odoo in Domo Workbench and Build Visualizations of Odoo Data in Domo



Use the CData ODBC Driver for Odoo to create datasets from Odoo data in Domo Workbench and then build visualizations in the Domo service.

Domo helps you manage, analyze, and share data across your entire organization, enabling decision makers to identify and act on strategic opportunities. Domo Workbench provides a secure, client-side solution for uploading your on-premise data to Domo. The CData ODBC Driver for Odoo links Domo Workbench to operational Odoo data. You can build datasets from Odoo data using standard SQL queries in Workbench and then create real-time visualizations of Odoo data in the Domo service.

The CData ODBC Drivers offer unmatched performance for interacting with live Odoo data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo to Odoo, the driver pushes supported SQL operations, like filters and aggregations, directly to Odoo and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Odoo data using native Domo data types.

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


Connect to Odoo as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

When you configure the DSN, 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.

After creating a DSN, you will need to create a dataset for Odoo in Domo Workbench using the Odoo DSN and build a visualization in the Domo service based on the dataset.

Build a Dataset for Odoo Data

You can follow the steps below to build a dataset based on a table in Odoo in Domo Workbench using the CData ODBC Driver for Odoo.

  1. Open Domo Workbench and, if you have not already, add your Domo service server to Workbench. In the Accounts submenu, click Add New, type in the server address (i.e., domain.domo.com) and click through the wizard to authenticate.
  2. In the DataSet Jobs submenu, click Add New.
  3. Name the dataset job (i.e., ODBC Odoo res_users), select ODBC Connection Provider as the transport method, and click through the wizard.
  4. In the newly created DataSet Job, navigate to Source and click to configure the settings.
  5. Select System DSN for the Connection Type.
  6. Select the previously configured DSN (CData Odoo Sys) for the System DSN.
  7. Click to validate the configuration.
  8. Below the settings, set the Query to a SQL query: SELECT * FROM res_users NOTE: By connecting to Odoo data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know Odoo-specific APIs or protocols.
  9. Click preview.
  10. Check over the generated schema, add any transformations, then save and run the dataset job.

With the dataset job run, the dataset will be accessible from the Domo service, allowing you to build visualizations, reports, and more based on Odoo data.

Create Data Visualizations

With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the Odoo data in the Domo service.

  1. Navigate to the Data Center.
  2. In the data warehouse, select the ODBC data source and drill down to our new dataset.
  3. With the dataset selected, choose to create a visualization.
  4. In the new card:
    • Drag a Dimension to the X Value.
    • Drag a Measure to the Y Value.
    • Choose a Visualization.

With the CData ODBC Driver for Odoo, you can build custom datasets based on Odoo data using only SQL in Domo Workbench and then build and share visualizations and reports through the Domo service.

Ready to get started?

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

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Learn more:

Odoo Icon Odoo ODBC Driver

The Odoo ERP ODBC Driver is a powerful tool that allows you to connect with live Odoo ERP data, directly from any applications that support ODBC connectivity.

Access Odoo ERP like you would a database - read, write, and update Sales Orders, Purchase Orders, Accounts, etc. through a standard ODBC Driver interface.