7 Best Data Visualization Tools you should know

best Data Visualization Tools

 It is fortunate that data science and visualization techniques are evolving at par with the rest of the technology stack.  Let us go through a few of the best, innovative, and most popular tools available in the data visualization domain that are available today. All these tools are paid tools although they do offer trial periods and licenses for personal use. we cover below the 7 best data visualization tools.

Data Visualization Tools


 Tableau is popularly known as the grandmaster of software in the data visualization domain and it has its reasons for being called so. With 57000 plus users, it is a software used across industries because of its simplicity to use and because in comparison with regular business intelligence solutions, tableau provides visualizations that are far more interactive.

Big Data operations, which deal with huge datasets, can be processed using tableau. It also supports the integration of machine learning and artificial intelligence applications since it works with the latest database solutions such as My SQL, Amazon AWS, SAP, Teradata, and Hadoop. There is a lot of research that has gone into the development of tableau to make it efficient for graphics and visualization, and to make the whole process simple and easy for humans. 


 Qlikview is a tool developed by Qlik and is a major player in the data science space and the biggest competitor of Tableau. The software has a customer base of over 40,000 spread over 100 countries. The frequent users have praised its setup, which is highly customizable with a wide range of features.

This could therefore mean that it takes time to get a grasp of this tool and use it in its complete potential. In addition to visualization of data, Qlikview is known for its solutions for analytics, business intelligence, and reporting capabilities, and users like it particularly for its interface that is neat and clutter-free. It is used in tandem with its sister package, Qliksense, which works very well with discovery and exploration of data. The community for Qlikview is very strong and there are a lot of resources available online which are maintained by third parties to help new users get comfortable with the tool.


 Based on JavaScript, FusionCharts is a widely used tool for visualization and charting and it has taken as one of the leaders in the paid market. With the ability to produce over 90 chart types, it is known for its flexibility to integrate seamlessly with popular frameworks and platforms. Fusion FusionCharts is also popular because it allows users to use existing templates for visualization instead of starting their own charts from scratch. 


 Highcharts is like FusionCharts in the sense that it requires a paid license to be used commercially, but it can be used for free as a trial, and also can be used non-commercially for personal use.

Highcharts boasts that it is used of 72 percent of the 100 largest companies in the world and it is often the first choice of users when a flexible and fast solution is needed, with minimal training required before it can be used. Cross-browser support has been its key to success, powering anyone to run and view its visualizations, which is not easy with other available platforms.  


Media organizations that use a lot of data to show charts and make presentations based on statistics are using Datawrapper on a large-scale basis. Simplicity of the interface and the ease of uploading data in CSV format resulting into maps, straightforward charts, etc which can be embedded quickly into reports is what makes it a popular choice. 


Plotly is a tool that supports visualizations that are sophisticated and complex in nature, given its easy integration with popular programming languages such as R, Python, and Matlab. Build on the foundations of open source libraries for JavaScript such as d3.js, Plotly is a paid package and has non-commercial licenses for personal use.


Sisense is a platform that is full-stack and provides us with a visualization interface that uses drag and drops capabilities. This facilitates complex graphics, charts, and interactive visualizations, to be created at the few clicks of the mouse. It provides a repository where you can collect data from multiple sources and then allows you to query the repository to access any data, even if the set of data is huge. It allows dashboard sharing across organizations making sure that even people who are not technically very sound can get all the answers to their data problems. read also types of data analytics

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