![]() It can produce 90 different chart types and integrates with a large number of platforms and frameworks giving a great deal of flexibility. This is a very widely-used, JavaScript-based charting and visualization package that has established itself as one of the leaders in the paid-for market. There is also a strong community and there are plenty of third-party resources available online to help new users understand how to integrate it in their projects. QlikView is commonly used alongside its sister package, Qliksense, which handles data exploration and discovery. In addition to its data visualization capabilities, Qlikview offers powerful business intelligence, analytics and enterprise reporting capabilities and I particularly like the clean and clutter-free user interface. ![]() This, however, can mean that it takes more time to get to grips with and use it to its full potential. ![]() The vendor has over 40,000 customer accounts across over 100 countries, and those that use it frequently cite its highly customizable setup and wide feature range as a key advantage. Qlik with their Qlikview tool is the other major player in this space and Tableau’s biggest competitor. Extensive research and testing have gone into enabling Tableau to create graphics and visualizations as efficiently as possible and to make them easy for humans to understand. It is particularly well suited to handling the huge and very fast-changing datasets which are used in Big Data operations, including artificial intelligence and machine learning applications, thanks to integration with a large number of advanced database solutions including Hadoop, Amazon AWS, My SQL, SAP, and Teradata. Tableau has a very large customer base of 57,000+accounts across many industries due to its simplicity of use and ability to produce interactive visualizations far beyond those provided by general BI solutions. ![]() ![]() Tableau is often regarded as the grand master of data visualization software and for good reason. Look out for another post soon on completely free and open source alternatives. These are all paid-for (although they all offer free trials or personal-use licenses). Here’s my run-down of some of the best, most popular or most innovative data visualization tools available today. ![]()
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