n today’s data-driven world, businesses rely heavily on data analysis tools to make informed decisions. Power BI, Tableau, and QlikView are three of the most popular data analysis and visualization tools in the market. Each tool has its unique strengths and weaknesses, making it challenging for businesses to choose the best one for their specific needs. Therefore, in this essay, we will compare and contrast these three tools based on various factors such as cost, analytics, data capturing, ease of learning, and customer community. By the end of this essay, we hope to provide insights into the similarities and differences of Power BI, Tableau, and QlikView, and help readers make an informed decision when choosing a data analysis tool for their business needs.

ItemPower BITableauQlik
Basic VersionsFree desktop versionLimited free versionLimited free version
Advanced VersionsPro ($10/user/month), Premium$100/user/month$30/user/month
Analytics and InterpretationAdvanced features, good for analyticsMany drill-down and filtering options, winner in analyticsNeeds improvement
Data Capturing and WarehousingCan fetch data from anywhere, various data sourcesGood data source connectionsCan fetch data from anywhere, focus on data transformation
Ease of LearningSimilar to Excel, easy to useAdvanced level tool, not for common usersRequires data science background, programming skills
Customer CommunityExposed to Office 365 usersHuge customer communityLimited due to programming knowledge requirement

In summary, Power BI is a good option for those who are familiar with Excel, have various data sources, and need advanced features. Tableau is a better option for those who require many drill-down and filtering options and are at the data science level. QlikView is focused on data transformation, but its programming knowledge requirement limits its customer community.