This app makes it easy to pull Jira data into Power BI without messing around with APIs or manual exports. The JQL filters are great, you can grab exactly the data you need. After setup, the scheduled refreshes work easily, so reports stay up to date. The setup process is pretty straightforward even if you’re not super technical. Review collected by and hosted on G2.com.

It can get slow with big datasets especially if your Jira instance is packed with issues or custom fields. Some fields don’t always sync cleanly and linked issues can be tricky. It’s also not real-time and the refreshes happen on a schedule. Managing permissions can take a bit of effort, and the pricing might sting if have a large environment. Review collected by and hosted on G2.com.

The Power BI Connector for Jira truly stands out for its seamless integration and user-friendly setup. One of its best features is the ease of connecting Jira data to Power BI without needing complex coding or technical expertise. This simplicity makes it accessible for teams of all sizes and skill levels.

Another major advantage is its powerful visualization capabilities. Users can effortlessly create detailed charts, dashboards, and reports that transform raw Jira data into meaningful insights. This not only saves significant time compared to manual data exports but also empowers project managers and teams to make more informed, data-driven decisions.

Overall, the Power BI Connector for Jira is a must-have tool for organizations seeking to streamline data integration and enhance project visibility through actionable analytics. Review collected by and hosted on G2.com.

While the Power BI Connector for Jira offers great integration and visualization features, there are a few areas that could be improved:

Initial Configuration Complexity: Although the integration itself is straightforward, setting up permissions and configuring large Jira instances can sometimes be confusing, especially for new users or teams with complex workflows.

Performance with Large Datasets: When handling very large volumes of Jira data, the connector can experience slower refresh times or timeouts, which can affect reporting efficiency. Review collected by and hosted on G2.com.

The connection made to Power BI is very simple, as the connector generates an OData url. It provides a live connection to all the data set and is very customizable. Review collected by and hosted on G2.com.

The setup can be complicated and not user friendly. Depending on the size of the organization, selecting tables, fields and filters can be a long tedious work. Review collected by and hosted on G2.com.

It just works, you have the option to export all possible fields. The underlying data model is well-structured, so you can get started in PowerBI right away.

Even if you forgot to export a field, you can easily add it to the same API endpoint afterwards. Review collected by and hosted on G2.com.

Loading time of the API call (when updating the data source) is quite long (1 minute).

One could add a few Power BI templates to demonstrate the functionality. Review collected by and hosted on G2.com.

Easy integration of Jira data into Power BI without complex coding.

• Automated data refreshes and scheduled syncs.

• Good for project managers, analysts, and leadership who want Jira reports in Power BI dashboards.

• Saves time compared to manual exports. Review collected by and hosted on G2.com.

Nothing much for disliking it........... Review collected by and hosted on G2.com.