Ready to get started?

Learn more or sign up for a free trial:

CData Connect Server

Build Freshdesk-Connected Dashboards in Redash



Use CData Connect Server to create a virtual SQL Server Database for Freshdesk data and build visualizations and dashbaords from Freshdesk data in Redash.

Redash lets you connect and query your data sources, build dashboards to visualize data and share them with your company. When paired with CData Connect Server, you get instant, cloud-to-cloud access to Freshdesk data for visualizations, dashboards, and more. This article shows how to create a virtual database for Freshdesk and build visualizations from Freshdesk data in Redash.

CData Connect Server provides a pure SQL Server interface for Freshdesk, allowing you to easily build reports from live Freshdesk data in Redash — without replicating the data to a natively supported database. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Freshdesk, leveraging server-side processing to quickly return the requested Freshdesk data.

Create a Virtual SQL Server Database for Freshdesk Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Server and click Connections.
  2. Select "Freshdesk" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Freshdesk.

    FreshDesk makes use of basic authentication. To connect to data, set the following connection properties:

    • Domain: Set this to the domain associated with your FreshDesk account. For example, in your URL: https://my_domain.freshdesk.com.
    • APIKey: Set this to the API key associated with your FreshDesk account. To retrieve your API key, Log into your support Portal -> Click on profile picture in the top right corner -> profile settings page. The API key will be available below the change password section to the right.
  4. Click Save Changes
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Freshdesk data from Redash.

Visualize Freshdesk Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Freshdesk database in Connect Server and building a simple visualization from the data.

Create a New Data Source

  1. Log into Redash, click on your profile and click "Data Sources"
  2. Click the " New Data Source" button
  3. Select "Microsoft SQL Server" as the Data Source Type
  4. On the configuration tab, set the following properties:
    • Name: Name the data source (e.g. Freshdesk (CData Connect))
    • Host: The full URL to your CData Connect instance (e.g. https://connect_server_url)
    • Port: The port of the CData Connect SQL Server endpoint (e.g. 1433)
    • User: A CData Connect user
    • Password: The password for the above user
    • Database name: The name of the virtual database for Freshdesk (e.g. FreshDesk1)
    • Click the checkbox to Use SSQL
  5. Click Create
  6. Click the "Test Connection" button to ensure you have configured the connection properly

With the new Data Source created, we are ready to visualize our Freshdesk data.

Create a Freshdesk Data Visualization

  1. Click Create -> New Query
  2. Select the newly created Data Source (you can explore the data structure in the New Query wizard)
  3. Write a SQL statement to retrieve the data, for example:
    SELECT Id, Name FROM Tickets WHERE Status = '2'
  4. Click the "Execute" button to load Freshdesk data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from Freshdesk data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Freshdesk Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Freshdesk data from Redash. You can create new visualizations, build dashboards, and more. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Redash, refer to our Connect Server page.