Integrate Freshservice Data in Pentaho Data Integration

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Build ETL pipelines based on Freshservice data in the Pentaho Data Integration tool.

The CData API Driver for JDBC 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 Freshservice data as a JDBC data source and build jobs and transformations based on Freshservice data in Pentaho Data Integration.

Configure to Freshservice Connectivity

Start by setting the Profile connection property to the location of the Freshservice Profile on disk (e.g. C:\profiles\Freshservice.apip). Next, set the ProfileSettings connection property to the connection string for Freshservice (see below).

Freshservice API Profile Settings

Obtain your API Key from Profile Settings in the top-right corner of Freshservice. Your Domain is the subdomain from your account URL.

Built-in Connection String Designer

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

java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\Freshservice.apip;ProfileSettings='APIKey=your_api_key;Domain=your_subdomain';

Save your connection string for use in Pentaho Data Integration.

Connect to Freshservice from Pentaho DI

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

  1. Click "General"
  2. Set Connection name (e.g. Freshservice Connection)
  3. Set Connection type to "Generic database"
  4. Set Access to "Native (JDBC)"
  5. Set Custom connection URL to your Freshservice connection string (e.g.
    jdbc:api:Profile=C:\profiles\Freshservice.apip;ProfileSettings='APIKey=your_api_key;Domain=your_subdomain';
  6. Set Custom driver class name to "cdata.jdbc.api.APIDriver"
  7. Test the connection and click "OK" to save.

Create a Data Pipeline for Freshservice

Once the connection to Freshservice 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 Freshservice 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 API Driver for JDBC and start working with your live Freshservice data in Pentaho Data Integration today.

Ready to get started?

Connect to live data from Freshservice with the API Driver

Connect to Freshservice