Best Data Visualization Tools In 2017

By Urbi Ghosh, 3rd Eye Advisory Ltd
Best Data Visualization Tools In 2017


Tableau helps the world's largest organizations unleash the power of their most valuable assets: their data and their people.

  • Harnesses people's natural ability to spot visual patterns quickly, revealing everyday opportunities and eureka moments alike.
  • Tableau is regularly viewed as the fabulous ace of data representation software.
  • Tableau has an extensive client base of 57,000+ records across numerous ventures because of its straightforwardness of utilization and ability to create intuitive representations in ways past those given by general BI solutions.
  • It is especially appropriate for dealing with immense and quick changing datasets which are utilized as a part of Big Data operations, including artificial intelligence and machine learning applications, on account of mix with a substantial number of cutting edge database solutions including Hadoop, Amazon AWS, My SQL, SAP and Teradata.


With Qlik, you're not restrained by assumptions & preconceived notions of how data ought to be connected. Rather you can eventually see how it actually is connected. Analyze, uncover, collaborate together and deliver.

  • Considered as one of the biggest competitors of Tableau.
  • The dealer has more than 45,000 client accounts crosswise over more than 100 nations
  • All those who utilize it frequently refer to its exceptionally adjustable setup and wide range of features as a key preferred standpoint.
  • Apart from its data visualization abilities,Qlikview provides strong business intelligence, analytics and undertaking revealing capacities and especially the clean and hassle free interface.
  • Qlikview is generally used alongside, Qliksense, which handles information investigation and discovery.
  • Qlik is a leader in the Gartner Magic Quadrant Seven Years in a row.


It is an easy to use, open-source web device that you can use to make fundamental intuitive graphs.

  • By stacking your CSV dataset into Datawrapper you can make a graph or a map that can be installed onto a site. Among others, you can create pie charts, line graphs, bar graph (horizontal and vertical) and maps.
  • The normal creation procedure of an intelligent graph comprises of five stages-
  • Usually used among media organizations to present their statistics graphically.


It is a diagramming library written in immaculate JavaScript, offering a simple method for adding intuitive graphs to your site or web application.

  • Highcharts makes it easy for developers to set up interactive charts in their web pages.
  • It is compatible with working on modern mobile and desktop browsers including the iPhone/iPad and Internet Explorer from version 6. On iOS and Android, multi-touch support provides a smooth user experience. Standard browsers use SVG for the graphics rendering. In legacy Internet Explorer graphics are drawn using VML
  • Requires license for commercial use like Fusion Charts.


From messy data to beautiful dashboards -Sisense gives you the simplest way to analyse and visualize complex data.

  • Forget about data warehouses, OLAP cubes and star schemas. Sisense gives you a chance to make and organize intricate data models from various sources in a straightforward drag and drop interface that all can understand.
  • Its business intelligence product includes both a back-end powered by in-chip technology that enables non-technical users to join and analyze large data sets from multiple sources, & a front-end for creating visualizations, like dashboards and reports, on any device, including mobile.
  • Dashboards would then be able to be shared crosswise over associations guaranteeing that even non technically sound staff can discover the appropriate responses they have to their issues.


Provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST, thus enabling more intricate & sophisticated visualizations.

  • Plotly Charts are basically tied to their underlying data.
  • As graphs & charts are shared and data changes hands through your company, Plotly tracks how that data changes.
  • With reference to cloud platform, Plotly is the only business intelligence solution to provide heavily audited industries with fine-grained information on data origin.
  • Built on top of the open source d3.js visualization libraries for JavaScript, this commercial package (with an accessible free non-commercial permit) includes layers of ease of use and support and additionally inbuilt help for APIs, for example, Salesforce.

Power BI

Power BI Self-benefit business insight (BI) tool Microsoft Power BI is a strong offering that as of now has a huge after and bolster environment. Data comes to life in interactive web dashboards with a host of stunning visualization options. Explore all your data from any angle and at any granularity to reach hassle-free, real insights, fast.

  • Incredibly powerful tool and free accessibility.
  • Extensive collection of data sources supported.
  • Broad research and testing has gone into empowering PowerBI to make illustrations and graphical representations as productive as possible & get actionable insights faster, and to make them simple for people to understand it.
  • It empowers various sources of data to be accumulated into one effectively & efficiently accessed data warehouses where it can be questioned through dashboards immediately, even across Big Data-sized sets.

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Article by: Urbi Ghosh, 3rd Eye Advisory Ltd
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