Create Odoo-Connected Dashboards in Grafana


Connect to Odoo Data via CData Connect Cloud in Grafana and create custom business dashboards with real-time access to Odoo data.

Grafana is an open-source platform that allows users to analyze, monitor, and visualize telemetry from various data sources. When combined with CData Connect Cloud, you gain immediate access to Odoo data for business dashboards. This article outlines the process of connecting to Odoo using Connect Cloud and creating a basic dashboard from Odoo data within Grafana.

CData Connect Cloud offers a pure SQL Server, cloud-to-cloud interface for Odoo, enabling the creation of dashboards directly from live Odoo data within Grafana, all without the need for data replication to a native database. As you build visualizations, Grafana generates SQL queries to gather data. With its inherent optimized data processing capabilities, CData Connect Cloud efficiently channels all supported SQL operations, including filters and JOINs, directly to Odoo. This leverages server-side processing to swiftly deliver the requested Odoo data.

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 Odoo Connectivity for Grafana

Connectivity to Odoo from Grafana is made possible through CData Connect Cloud. To work with Odoo data from Grafana, we start by creating and configuring a Odoo connection.

  1. Log into Connect Cloud, click Sources, and then click Add Connection
  2. Select "Odoo" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Odoo.

    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.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Odoo Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect Cloud through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect Cloud. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect Cloud app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Odoo data from Grafana.

Visualize Live Odoo Data in Grafana

To establish a connection from Grafana to the CData Connect Cloud Virtual SQL Server API, follow these steps.

  1. If you have not already done so, download and install Grafana for your operating system from the Grafana Website. Once installed, access Grafana at http://localhost:3000/.
  2. Log in to Grafana with your username and password for Grafana. If this is your first time logging in, the username is admin and the password is admin.
  3. On the navigation menu, click Connections > Add new connection. On this page, you can search for Microsoft SQL Server and select it as your data source.
  4. Select Microsoft SQL Server and click Add new data source.
  5. Enter a name for the new data source and then enter the following connection settings:
    • Host: tds.cdata.com:14333
    • Database: enter the Connection Name of the CData Connect Cloud data source you want to connect to (for example, Odoo1).
    • Username: enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
    • Password: enter the PAT you previously generated.
  6. Click Save & Test. A Database Connect OK message appears when you have a successful connection established.

Create a Dashboard

Once you create the data source for Odoo, you can start building dashboards on Odoo data. Start in the navigation menu and click Dashboards

  1. On the Dashboards page, click + Create dashboard, then click + Add visualization.
  2. This opens the Select data source window where you can select your created connection.
  3. After selecting your connection, you can choose the tables and columns that you want to query for your visualization. Then press Run Query to run the generated query.
  4. After running your query, the resulting data is populated above the query editor. Here you can select the visualization that you want to use to present your data on the dashboard panel.
  5. When you have finished editing your panel, you can click Save dashboard to save the changes made to your Dashboard.

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud today!

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