6 Big Data Visualization Tools Everyone in the Industry Should Be Using
Let’s say you are a proud owner of a gold mine but you can’t harness the gold from that mine. So, what’s the point in being the owner? Is there any? The condition is the same with big data. There is no point in collecting large chunks of big data if you fail to churn it and harness the information lying beneath it.
To resolve this issue, data visualisation tools are the exact weapons you need. These tools show us various insights of the collected data. Big names like Google and Microsoft collect and manipulate big data to design the future of their business strategies. Today, we will discuss about some of these popular big data visualisation tools.
Google is an obvious benchmark and well known for the user-friendliness offered by its products and Google chart is not an exception. It is one of the easiest tools for visualising huge data sets. Google chart holds a wide range of chart gallery, from a simple line graph to complex hierarchical tree-like structure and you can use any of them that fits your requirement. Moreover, the most important part while designing a chart is customization and with Google charts, it’s fairly Spartan. You can always ask for some technical help if you want to dig deep.
It renders the chart in HTML5/SVG format and it is cross-browser compatible. Added to this, it also has adopted VML for supporting old IE browsers and that’s also cross-platform compatible, portable to iOS and the new release of Android. The chart data can be easily exported to PNG format.
[timeline-express]Consequently, Google chart is quite efficient in handling real-time data. You can also endorse data from other Google products like Google Map with your existing data to make an interactive chart and control them from an interactive dashboard. Furthermore, the service is absolutely free with a strong Google support.
Tableau desktop is an amazing data visualisation tool (SaaS) for manipulating big data and it’s available to everyone. It has two other variants “Tableau Server” and cloud-based “Tableau Online” which are dedicatedly designed for big data related organizations.
You don’t have to be a coder to use this tool. This tool is very handy and provides lightning fast speed. The canvas or dashboard is user-friendly and ‘drag and drop’ compatible, therefore, it creates a homely atmosphere in any working environment. You can connect all your data from as little as a spreadsheet to as big as Hadoop, painlessly, and analyse deeply. Tableau Desktop is free for students and instructors, otherwise, Tableau desktop charges $999 and $1999 for personal and professional editions respectively for 1 year with support. Read our detailed review of Tableau here.
It is not a monolithic framework that it has to seek for every opportunity, instead, it solves the problem from the crux. It allows you to bind arbitrary data with DOM (Document Object Model) and apply the data-driven transformation to the data with a smooth transition and animation effect (optional).
D3 is extremely fast and supports large data sets in real-time. It also produces dynamic interaction and animation in both 2D and 3D with a minimal overhead. The functional style of D3 allows you to reuse codes through the various collection of components and plug-ins.
However, this tool doesn’t come for free. Its pricing range starts from $199 (for individual developers or freelancers) for one year and updates with one-month priority support.
For any execution, it requires two .js files: the Highcharts.js core and jQuery or Mootools or prototype platform, which are mostly available on regular web pages. This tool also comes with a range of chart viz. line, bar, column, pie etc.
This tool is efficient enough to process real-time JSON data and represents them as a chart mentioned by the user. If you are an enthusiastic programmer you can download its source code and modify it as per your need. This tool is available for free to developers and deployment price starts at $399. It has a huge client base which includes Facebook, Spandex, Visa, Nokia and many more.
Every bit of data carries a story with it and these data visualisation tools are the gateway to fathom the story it tries to tell us. It helps us to understand about the current statistics and the future trends of the market.