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Build ETL pipelines based on OData services in the Pentaho Data Integration tool.
The CData JDBC Driver for OData 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 OData services as a JDBC data source and build jobs and transformations based on OData services in Pentaho Data Integration.
About OData Data Integration
CData simplifies access and integration of live OData services data. Our customers leverage CData connectivity to:
- Access OData versions 2.0, 3.0, and 4.0, working with legacy services and the latest features and capabilities.
- Leverage advanced query options, including $filter, $select, and $expand, enhancing data retrieval from 3rd party tools.
- Use Server-side execution of aggregation and grouping to minimize data transfer and boost performance.
- Authenticate securely using a variety of schemes, including Azure AD, digest, negotiate, NTLM, OAuth, and more means secure authentication with every connection.
- Use SQL stored procedures to manage OData service entities - listing, creating, and removing associations between entities.
Customers use CData's solutions to regularly integrate their OData services with preferred tools, such as Power BI, MicroStrategy, or Tableau, and to replicate data from OData services to their databases or data warehouses.
Getting Started
Configure to OData Connectivity
The User and Password properties, under the Authentication section, must be set to valid OData user credentials. In addition, specify a URL to a valid OData server organization root or OData services file.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the OData JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.odata.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:odata:URL=http://services.odata.org/V4/Northwind/Northwind.svc;UseIdUrl=True;OData Version=4.0;Data Format=ATOM;
Save your connection string for use in Pentaho Data Integration.
Connect to OData from Pentaho DI
Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for OData
- Click "General"
- Set Connection name (e.g. OData Connection)
- Set Connection type to "Generic database"
- Set Access to "Native (JDBC)"
- Set Custom connection URL to your OData connection string (e.g.
jdbc:odata:URL=http://services.odata.org/V4/Northwind/Northwind.svc;UseIdUrl=True;OData Version=4.0;Data Format=ATOM;
- Set Custom driver class name to "cdata.jdbc.odata.ODataDriver"
- Test the connection and click "OK" to save.
Create a Data Pipeline for OData
Once the connection to OData is configured using the CData JDBC Driver, you are ready to create a new transformation or job.
- Click "File" >> "New" >> "Transformation/job"
- Drag a "Table input" object into the workflow panel and select your OData connection.
- Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
- 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 OData and start working with your live OData services in Pentaho Data Integration today.