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Integrate Jira data into dashboards in TIBCO Spotfire.
OData is a major protocol enabling real-time communication among cloud-based, mobile, and other online applications. The CData API Server provides Jira data to OData consumers like TIBCO Spotfire. This article shows how to use the API Server and Spotfire's built-in support for OData to access Jira data in real time.
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
Set Up the API Server
If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure Jira OData services:
Connect to Jira
To work with Jira data from TIBCO Spotfire, we start by creating and configuring a Jira connection. Follow the steps below to configure the API Server to connect to Jira data:
- First, navigate to the Connections page.
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Click Add Connection and then search for and select the Jira connection.
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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.
- After configuring the connection, click Save & Test to confirm a successful connection.
Configure API Server Users
Next, create a user to access your Jira data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:
- On the Users page, click Add User to open the Add User dialog.
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Next, set the Role, Username, and Privileges properties and then click Add User.
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An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page:
Creating API Endpoints for Jira
Having created a user, you are ready to create API endpoints for the Jira tables:
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First, navigate to the API page and then click
Add Table
.
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Select the connection you wish to access and click Next.
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With the connection selected, create endpoints by selecting each table and then clicking Confirm.
Gather the OData Url
Having configured a connection to Jira data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:
Create Data Visualizations on External Jira Data
- Open Spotfire and click Add Data Tables -> OData.
- In the OData Connection dialog, enter the following information:
- Service URL: Enter the API Server's OData endpoint. For example:
http://localhost:8080/api.rsc
- Authentication Method: Select Username and Password.
- Username: Enter the username of an API Server user. You can create API users on the Security tab of the administration console.
- Password: Enter the authtoken of an API Server user.
- Service URL: Enter the API Server's OData endpoint. For example:
- Select the tables and columns you want to add to the dashboard. This example uses Issues.
- If you want to work with the live data, click the Keep Data Table External option. This option enables your dashboards to reflect changes to the data in real time.
If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.
- After adding tables, the Recommended Visualizations wizard is displayed. When you select a table, Spotfire uses the column data types to detect number, time, and category columns. This example uses TimeSpent in the Numbers section and Summary in the Categories section.

After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can apply a filter: After clicking the Filter button, the available filters for each query are displayed in the Filters pane.