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URL: https://www.cdata.com/kb/tech/jira-cloud-thoughtspot.rst

⇱ Model, Search, and Visualize Live Jira Data in ThoughtSpot

Model, Search, and Visualize Live Jira Data in ThoughtSpot

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live Jira data for modeling, searching, and visualizing.

ThoughtSpot is a cloud-based analytics platform that uses artificial intelligence (AI) and natural language processing (NLP) to help users analyze data and make decisions. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Jira data for visualizations, dashboards, and more. This article shows how to connect to Jira and build visualizations from Jira data in ThoughtSpot.

About Jira Data Integration

CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:

  • Gain bi-directional access to their Jira objects like issues, projects, and workflows.
  • Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
  • Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.

Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.

Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.


Getting Started


CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for Jira, allowing you to easily build models and visualizations from live Jira data in ThoughtSpot. As you build visualizations, ThoughtSpot generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to Jira, leveraging server-side processing to quickly return Jira data.

Configure Jira Connectivity for ThoughtSpot

Connectivity to Jira from ThoughtSpot is made possible through CData Connect AI. To work with Jira data from ThoughtSpot, we start by creating and configuring a Jira connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Jira" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Jira.

    To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Jira Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI 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 AI. 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 AI 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. 👁 Creating a new PAT
  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 Jira data from ThoughtSpot.

Model, Search, and Visualize Live Jira Data in ThoughtSpot

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

  1. Log into ThoughtSpot
  2. On the top navigation bar, click Data.
  3. Click Create new > Connection. 👁 Creating a new connection.
  4. Name the connection and click "SQL Server" as the data warehouse. 👁 Selecting SQL Server as the connection type.
  5. Click Continue on the top right.
  6. Enter the connection settings:
    • Host: enter the Virtual SQL Server endpoint: tds.cdata.com
    • Port: : enter 14333
    • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
    • Password: enter the PAT you generated on the Settings page.
    • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, JIRA1).
    👁 Configuring the connection to the Virtual SQL Server API
  7. Click Continue.
  8. After connecting successfully, you will be able to choose which tables to include. 👁 Selecting tables (Salesforce is shown).
  9. Click Create Connection.

After you successfully configure your connection, you can build models, search, and visualize your Jira data.

Real-Time Access to Jira Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Jira data from ThoughtSpot. You can model, search, and visualize your data from ThoughtSpot . For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like ThoughtSpot, refer to our Connect AI page.