Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
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Qlik Analytics Platform
Score 8.2 out of 10
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The Qlik Analytics Platform (QAP) is a developer platform for building custom analytic applications based on rich frontend and backend APIs. It gives full API access to the Qlik associative engine to build rich data-driven analytic applications, for example when building web applications for extranet and Internet deployment.
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Pricing
Microsoft Power BI
Qlik Analytics Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft Power BI
Qlik Analytics Platform
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Microsoft Power BI
Qlik Analytics Platform
Features
Microsoft Power BI
Qlik Analytics Platform
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Microsoft Power BI
8.8
Ratings
8% above category average
Qlik Analytics Platform
-
Ratings
Pixel Perfect reports
8.50 Ratings
00 Ratings
Customizable dashboards
10.00 Ratings
00 Ratings
Report Formatting Templates
8.00 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Microsoft Power BI
8.2
Ratings
2% above category average
Qlik Analytics Platform
-
Ratings
Drill-down analysis
7.00 Ratings
00 Ratings
Formatting capabilities
9.00 Ratings
00 Ratings
Integration with R or other statistical packages
8.00 Ratings
00 Ratings
Report sharing and collaboration
9.00 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Microsoft Power BI
8.6
Ratings
3% above category average
Qlik Analytics Platform
-
Ratings
Publish to Web
8.00 Ratings
00 Ratings
Publish to PDF
9.00 Ratings
00 Ratings
Report Versioning
9.00 Ratings
00 Ratings
Report Delivery Scheduling
8.00 Ratings
00 Ratings
Delivery to Remote Servers
9.00 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Microsoft Power BI is great for sales tracking, financial reporting, and real-time operations monitoring. It integrates data from multiple sources, creating interactive dashboards for better decision-making. However, it's less ideal for real-time big data processing, offline access, or when deep customization is needed. It works best for structured reporting but struggles with highly complex data models.
If you want to setup analytics dashboards for reporting or simple data analysis then Qlik is your tool of choice.
Complex data structures are handled well, but you’ll need to keep de amount of data on the low side. Integration with other software is possible and easy.
It's flexible in allowing the development of fully-fledged analysis tools and dashboards, but also smaller "widgets" to embed in our websites to bring stories to life, and enables us to develop things once and then re-use them in different contexts.
The development platform and management console are both easy to use, and, with proper data development by our expert developers, can be used by relatively junior colleagues to produce great-looking and very useful products.
The way the platform handles a mix of data sources from different APIs and internal data stores is good.
We like the visualizations and from a corporate perspective find it easy to develop one-size-fits-all visualizations that present a wide range of data items well in a responsive way.
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.
Takes a little bit to get used to it. Not natively intuitive but fairly straight forward to pick up. Also docking it a few points because you can create a really clean, simple UI in Claude very quickly that's faster than building all of this yourself in Microsoft Power BI.
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.
Qlik is great for companies with lots of business domains and departments because it scales well, especially if data that is reported is saved in SQL and similar structures. Its ease of use and good UI enables business units to create and manage their own reports. That removes a great burden of creating and managing/modifying these pages from the IT team. Overall, it's a win-win for both IT and business units.
All others apps are enablers and Microsoft Power BI is the visual that end user sees which often adds more value to the end user to make strategic decisions from this. All are equally great but Microsoft Power BI is the end result
They are all good tools, each having their own pros and cons. Qlik Analytics Platform was easy to set up, more than affordable, and has a good user base. Though not as large as some of the other tools, it is growing every day and for the price, it is very hard to beat. I would recommend it. Microsoft Power BI is a little more intuitive to some users, many of them engineers, because of its similarities to Excel. I do like that it follows a similar structure to Excel but I think that it also has the same old-school GUI, which could be improved on. I prefer the way Qlik Analytics Platform's visualizations look because they appear more modern and smooth rather than rigid.
We're still early in the adoption process at this company, but we've illustrated how bad data keeps us from being more productive. ~25% of a team's work week was dedicated to effectively cleaning up entries, but it was always seen as a normal to them.