DevExpress Universal vs. Microsoft Power BI

When you want to display spreadsheet based reports, it's really convenient as it has everything out of the box.

If you have very basic components like combo boxes or lists, there is hardly a point in using such a large component set.

In the end, it's a matter of finding a good balance between functionality and complexity.

Incentivized

Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data

Incentivized

• Handle large and complex datasets using its table widget (DataGrid)
• Handle large and complex hierarchical datasets using its tree table widget (TreeList)
• Customize widget to fulfill advanced requirements such as adding a complex grid inside a grid cell

Incentivized

• Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
• Constant updates (this is both good and bad at times).
• User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.

Incentivized

• Documentation could be improved
• Better examples of code in languages other than C
• Better wizards for building applications

Incentivized

• It would be easier for users could Microsoft Power BI and Excel used the same programming languages.
• Would like to see the online version of Microsoft Power BI be as powerful as the desktop version.
• Publishing a Microsoft Power BI file online and then having to save the file is somewhat redundant.
• Would like to export each page or chart as an image.

Incentivized

Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.

Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.

Incentivized

It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.

Incentivized

It was integrated with our erp easily and was accessible on cloud.

Incentivized

DevExpress Universal controls are much simpler to use, implement and customized as compared to Kendo. Learning curve for telerik is high, though level of customization that can be achieved with telerik exceeds that of DevExpress Universal. Found DevExpress Universal community support to be better then its competitors. License cost is also a wining bar here.

Incentivized

Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.

Incentivized

• It is good for asp.net application and it takes less time in development which we used two years back.
• We have stopped with these tools when clients were asking applications to be built in angular or react. We have switched to Kendo.

• Power BI usage reduced the effort of analytical reports creation by about 80%
• Empowered all the level of employee to be more vigilant of the data and business insights, gained the profit of 8% overall.
• AI-powered predictive analytics improved forecasting accuracy by 17%, that topped the overall sales.

Incentivized