We performed a comparison between Microsoft Power BI and QlikView based on real PeerSpot user reviews.
Find out in this report how the two Reporting solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Technical support is quite responsive."
"It gives us, the ability to do a lot of analysis quickly, similar to ad hoc analysis."
"The visuals are great and make everything look very professional. We can change the look and feel or manipulate the data according to our requirements. It's extremely flexible."
"The good part of it is that you can do whatever you want with it when it comes to building BI. In terms of languages, it supports Python, and it also natively supports R."
"Its visualizations and dashboards are most valuable. Power BI is great in terms of visualizations and dashboards. The reports that we previously had were not very nice in terms of visualization. It also provides the ability to play with the data."
"The most valuable features of Microsoft BI are the variety of possibilities to connect to various data sources. The visualizations are easily done, have useful rollover functions, and there are continuous updates being made to the system. You can benefit from the various improvements."
"My primary use is for view of the dashboard."
"The solution is quite scalable."
"QlikView is one of the strongest tools, I would say. Also, it has a very vast capability to process the data"
"QlikView is a scalable solution that multiple users can easily use."
"Its ability to build, very quickly, very complicated models."
"It is a stable product."
"We can scale it if we need to."
"One of the good thing is that you can integrate different data source technologies. So you can model your environment without having any of our views running."
"It's pretty easy to deploy."
"If you correctly use the product for your use cases, it provides value for money."
"I would like to be able to use more predicting data science features without having to use R."
"The orchestration module for refreshing data flows is something that is missing and we have to do it manually."
"The DAX features need some improvement. It's not as easy as Excel. They need more DAX formulas."
"Its setup and support should be improved. We would like to see more material for developers that provides clear explanations about how we can do data mining by using Microsoft BI. It would also be good if we can connect a feature to other customized machine learning solutions."
"The cost of the solution can get high."
"It's not user-friendly; more tutorials, training, and better documentation would be helpful."
"You do need to do some hard coding for certain things in Microsoft BI."
"Sometimes while developing, the front end is not easily customizable and it has limitations. We cannot go and do any UI we want. We have to stick to the limitations of the product."
"Scalability really depends on the size of your data and QlikView server architecture. For the biggest data sets, it could become an issue at some point."
"The user interface and ease of use takes a bit of a learning curve to pick up."
"I would want them to have more options as a user. It would be nice for them to create their own dashboards and add fields."
"Enhancing user-friendliness would be highly beneficial."
"More/newer visualisation components need to be added."
"Needs improvement with UI transparency."
"Though the initial setup phase is simple, when it comes to the integration with the custom systems, the configuration and the compatibility sometimes take some more time."
"It needs work with visualization."
Microsoft Power BI is ranked 1st in Reporting with 297 reviews while QlikView is ranked 5th in Reporting with 158 reviews. Microsoft Power BI is rated 8.0, while QlikView is rated 8.2. The top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, the top reviewer of QlikView writes "Useful for data visualization and business intelligence". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE, whereas QlikView is most compared with Tableau, Amazon QuickSight, SQL Server, TIBCO Spotfire and IBM Cognos. See our Microsoft Power BI vs. QlikView report.
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