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."It is more user-friendly compared to SSRS."
"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."
"We like the drag and drop interactability visualization. We really like that. It's user-friendly."
"The stability is great and continues to get better and better."
"The initial setup is straightforward."
"I like the fact that Power BI lets me use Excel data. At least 90% of my state data is in Excel spreadsheets. Having the ability to just attach a spreadsheet as a data source is very, very important. It's also good for training and teaching. Sometimes you don't always have access to a live production database, so having a spreadsheet with sample data is always nice."
"Microsoft BI is very easy to set up and use."
"Power BI allows you to create user defined charts which is really useful."
"It has user-friendly data visualization features, supporting our decision-making process with its business intelligence capabilities"
"It is a stable product."
"Data transforming with scripting, and the associative model that lets users browse data in an easy way, are the most valuable features."
"I had the option to prepare data myself instead of always having to depend on the data team."
"The initial setup is not very complex."
"The solution is fast."
"Its ability to build, very quickly, very complicated models."
"The product’s most valuable feature is its ability to view the entire data available for analysis."
"When it comes to improvement, I would say there could be more tutorials for students in universities who are just learning it. And it wouldn't have to be just for students in universities. It might also be for the people who use it in the real world."
"It is kept very current, and there is an update literally every month. However, the interface changes quite randomly with no documentation, which is difficult at the domain and architectural level where you're planning things and engaging the business. Things change frequently, and you wonder where has the button for the new report gone. They should provide better documentation on interface changes. It should be better optimized. It is supposed to be a data integration tool, but it is doing relatively simple queries. It has its limitations. For example, you can only pull a number of columns. So, there is room for optimization on its ability to integrate multiple data sources. The desktop tool is very memory-intensive, and again, this is not documented clearly. It requires a heavy CPU and memory use, and it causes your operating systems to become unstable. I would like to see the ability to create datasets within Power BI. Microsoft is promoting Azure as a cloud solution, but it is dependent upon a desktop component, which seems a little bit deceptive. Data set is the basic element that you report from, but it has to be created on the desktop and then published to the cloud. So, you're in the cloud, and you create a data structure or the data flow, but you can't report from that. You have to leave the cloud, go to your desktop, create the data set on your desktop, and publish it to the cloud. You go back to the cloud and create your report by using that published data set, which is very non-intuitive. If you go to the Microsoft Power BI community, this is a common complaint across the entire community."
"The solution could improve by having more attractive graphical charts."
"I have to write scripts to query data for analyzing performance."
"The UI is the main improvement that could be made. Specifically, there is something called DAX, in Power BI, which is complicated compared to calculated fields used in Tableau."
"Microsoft Power BI can be confusing, because it has two languages that you need to learn if you want to use it, and this makes it more difficult for nontechnical users."
"The solution could improve by providing more free visuals. A lot of them are very nice but you have to purchase them."
"It needs an AI which can choose the appropriate connection strings and provide options for connections."
"Installation and deployment could be made easier and quicker."
"I would like to see more advanced features from Qlik Sense integrated into QlikView to keep it competitive and up-to-date."
"The solution is quite costly."
"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."
"QlikView's UI could be more user-friendly."
"They should offer the capability to directly access data from SaaS environments, as it would simplify the migration process, and while it may seem like a minor enhancement, it would be beneficial to our clients."
"There is a challenge on the frontend when it comes to browsing data through QlikView, as it isn't entirely compatible with other platforms we use."
"Syntax editor needs some work, it's frustrating to have valid syntax being flagged as incorrect."
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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