Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Integrate with Odoo Data in SnapLogic
Use CData Connect Cloud to connect to and integrate with live Odoo data in SnapLogic.
SnapLogic's iPaaS platform helps organizations automate application, data and cloud integrations. When paired with CData Connect Cloud, SnapLogic gets access to live Odoo data. This article demonstrates how to connect to Odoo using Connect Cloud and integrate with Odoo data in SnapLogic.
CData Connect Cloud provides a pure SQL Server interface for Odoo, allowing you to query data from Odoo without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Odoo, leveraging server-side processing to return the requested Odoo data quickly.
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 SnapLogic
Connectivity to Odoo from SnapLogic is made possible through CData Connect Cloud. To work with Odoo data from SnapLogic, we start by creating and configuring a Odoo connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "Odoo" from the Add Connection panel
-
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.
- Click Create & Test
- Navigate to the Permissions tab in the Add Odoo Connection page and update the User-based permissions.
Add a Personal Access Token
If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Connect to Odoo from SnapLogic using Connect Cloud
To establish a connection from SnapLogic to CData Connect Cloud, you will need to download the JDBC Driver.
- Open the Client Tools page of CData Connect Cloud.
- In the Dev Tools section, click JDBC.
- Download and run the setup file.
- When the installation is complete, locate the JDBC Connect JAR file in the JDBC driver's installation directory, for example, C:\Program Files\CData\JDBC Driver for CData Connect\lib.
- Copy the JDBC Connect JAR file (cdata.jdbc.connect.jar).
After copying the JDBC CData Connect JAR file, you will need to paste it into the SnapLogic installation location and configure the connection to Connect Cloud.
- Log into SnapLogic.
- Click the Managers tab.
- Select a folder from the Project Spaces to add the JDBC JAR file to.
- Click the Files tab.
- Click the button in the top right to upload the CData Connect Cloud JDBC JAR file. It appears as a file once uploaded.
- Click the Designer tab.
- Click JDBC to expand the options for "snaps."
- Click and drag a Generic JDBC - Select "snap" onto the designer.
- Click Add Account > Continue.
- Enter the JDBC connection properties.
- JDBC driver: add the CData Connect Cloud JAR file
- JDBC driver Class: enter cdata.jdbc.connect.ConnectDriver
- JDBC Url: enter a JDBC connection string for the JDBC driver. For example: jdbc:connect:AuthScheme=Basic;User={username};Password={PAT};
- 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 generated on the Settings page.
- Click Validate. If the connection succeeds, the "snap" is ready to use.
- Click Apply.
You can now create reports with the connected data.
Get CData Connect Cloud
To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from SnapLogic, try CData Connect Cloud today!