Navigating through an ocean of data might be challenging. If you are new to the world of Business Intelligence (BI), you may still be doing your first steps if you have already found the best option to extract your data, then you might be wondering how to establish a well-working data warehouse. Or maybe you are trying to optimize the ETL processes in your enterprise. No matter on which stage you are, you probably have noticed there are many BI solutions on the market, and choosing between them can be challenging. To yield the best results, you must find a BI tool that you consider not only technically superior to other options on the market but also is complimentary with the systems that you already have. However, how can you choose the one that best fits your company and its specific needs? In this article, we have prepared a list of some of the most important criteria that you should consider by reviewing three of the top-performing platforms in 2019, according to Magic Quadrant for Analytics and Business Intelligence Platforms – Qlik vs Tableau vs Power BI.
Qlik vs Tableau vs Power BI
Qlik has one of the most advanced Application Programming Interface command sets in the analytics industry and has continually been improving its functionality over the last several years. Qlik’s API provides seamless integration with other tools and the data housed within them.
Ease of Use
Qlik’s interface is systematically structured and it very intuitive once you get used to it. However, its many items can be somewhat overwhelming for new users. However, at the same time, they also allow great flexibility in creating more complex dashboards.
The pricing of Qlik products is quite transparent. Either you can choose SaaS solution that you will use across groups and teams or multi-cloud solution to leverage data analytics in the organization. Furthermore, the prices are fixed per individual and per month. Besides, if one uses both QlikView and Qlik Sense, there is a discounted Dual Use offer.
Tableau supports a diverse range of data connectivity options — spanning relational, online analytical processing (OLAP), Hadoop, NoSQL and cloud sources — but offers little support when it comes to integrating combinations of these sources in preparation for analysis.
Ease of Use
Tableau is considered easy to use and learn about. It supports drag and drop features, which can easily create simple dashboards.
The pricing model of Tableau is quite different. It is not based on a standard model for the whole organization, but on the user’s role. There are three types of users – Creator, Explorer and Viewer. Each role has a different level of access and rights.
Microsoft Power BI possesses the advantage of Microsoft’s familiarity and connections to assorted applications. Its Microsoft foundations ensure a smooth interconnection of Power BI with the existing work base of many businesses.
Ease of Use
Due to the familiarity with the other Microsoft’s products, many users find Power BI’s interface convenient to use. However, for users with no prior skills in MS Excel, the learning curve can be considered steep.
Power BI pricing is based on the used product – Power BI Desktop (free), Power BI Pro (collaborating options), Power BI Premium (for enterprise purposes), and Power BI Report Server (on-premise distribution, which is included in Power BI Premium). Although there is a free (desktop) and very cheap (Power BI Pro) version, most of the broadly used functionalities are only available in Power BI Premium. Premium license price is paid monthly per dedicated cloud compute and storage resource.
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