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."Everything that's in M Query and DAX is the heart of Power BI because with these tools you can make up for a lot of other missing features."
"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."
"It's a powerful platform."
"The initial setup is pretty straightforward."
"In the process of using data there is the Extract, Transform and Load (ETL). For extracting we are using another software, for transforming we are using our own coding in C#, and then we use Microsoft BI for loading the information. Microsoft BI displays information very well."
"Microsoft BI allows us to connect to any database or any dataset."
"There was a lot of manual work involved with Excel, whereas once we moved on to Microsoft Power BI, it was a cleaner dashboard and it was faster too."
"The solution's initial setup isn't too complicated."
"It's incredibly fast and can handle large volumes of data without slowing down our operations."
"The search feature: ability to see the related data."
"We can scale it if we need to."
"It excels in supporting database connections and various database types."
"The initial setup is not very complex."
"E-T-L, The Extract, Transform, and Loading capabilities of QlikView make it a highly sophisticated self-service business intelligence tool for developers and analysts."
"The product’s most valuable feature is its ability to view the entire data available for analysis."
"The most valuable feature of QlikView is the integration with other third-party tools."
"SQL Server Reporting Services (SSRS) is not user friendly."
"If you look at the new tool, even though they promised that you could do data modeling, that you could do everything from the Power BI side, if your data is really large in volume, sometimes it doesn't work on the Power BI. More feature testing from their side would certainly help users."
"When we have a big report with lots of data, the solution slows down quite a lot."
"It would be better if they had some video tutorials. Most people from an Excel background may struggle with measures in Microsoft BI."
"Real-time updating needs improvement."
"The initial setup is a little bit technical."
"The solution's documentation needs improvement."
"Creating dashboards could be easier."
"They could improve the speed."
"This solution would be improved with the inclusion of a feature that would allow us to add a common library of (our) commands used in load scripts and expressions, so with a keyword, we would get a drop down to select the command we are looking for, as opposed to the generic help."
"Needs improvement with UI transparency."
"For me, it is important to have a mix, what is the "view" and what is the "sense", Qlik Sense. They have two tools, but for me it is important to have only one tool, which combines the functions that we have from one side and the other side."
"More/newer visualisation components need to be added."
"It needs work with visualization."
"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."
"Better source data connectors."
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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