Top 10 Big Data Visualization Tools All Industries Should Be Using Right Now

Top 10 Big Data Visualization Tools All Industries Should Be Using Right Now

Suppose you are an owner of a gold mine but you can’t harness the gold from that mine.

Anyway, what’s the point in being the owner? Is there any? The state is the same with big data.

There is no reason for gathering expansive pieces of big data if you neglect to beat it and harness the data lying underneath it.

To solve this problem, data visualization tools are the correct weapons you require. These data visualization tools indicate to us different insights in the gathered information.

Big organizations like Google and Microsoft gather and control big data to plan the fate of their business strategies.

Today, we will talk about some of these prevalent big data visualization tools.

1. Google Chart

Google is a conspicuous benchmark and widely known for the ease of use offered by its products and Google chart is not an exemption.

It is one of the least demanding data visualization tools big data sets. Google chart holds an extensive variety of chart gallery, from a basic line graph to complex hierarchical tree -like structure and you can utilize any of them that fits your necessity.

In addition, the most essential part while outlining a chart is customization and with Google charts, it’s genuinely Spartan. You can simply request some technical help if you need to go deep.

It renders the chart in HTML5/SVG format and it is cross-browser effective. Added to this, it likewise has received VML for supporting old IE browsers and that is additionally cross -platform compatible, convenient to iOS and the new release of Android.

The chart information can be effortlessly exported to PNG file format.

Consequently, Google chart is very proficient in taking care of rea-time information. You can likewise endorse information from other Google products like Google Map with your current information to make an intelligent chart and control them from an interactive dashboard. Besides, the service is totally free with a solid Google support.

2. Tableau

Tableau desktop is an astonishing data visualization tool (SaaS) for manipulating big data and it’s accessible to everybody.

It has two different variations “Tableau Server” and cloud-based “Tableau Online” which are dedicatedly intended for big data related organizations.

You don’t need to be a programmer to utilize this data visualization tool. This tool is exceptionally helpful and gives extremely quick speed.

The canvas or dashboard is easy to understand and ‘drag and drop’ compatible, in this manner, it makes an attractive air in any workplace.

You can interface every one of your information from as meager as a spreadsheet to as large as Hadoop, easily, and analyse deeply.

Tableau Desktop is free for students and educators, generally, Tableau desktop charges $999 and $1999 for individual and expert editions respectively for 1 year with support.

3. D3

D3 or Data Driven Document is a Javascript library for big data visualization in basically any way you need.

This isn’t an instrument, similar to the others and the client needs a decent handle over javascript to give the gathered information a shape.

The manipulated information are rendered through HTML, SVG and CSS, so there is no place for old browsers (IE 7 or 8) as they don’t support SVG (Scalable Vector Graphics).

It isn’t a monolithic system that it needs to look for each open door, rather, it takes care of the issue from the core.

It enables you to tie subjective information with DOM (Document Object Model) and apply the data-driven change to the information with a smooth transition and animation effect (optional).

D3 is to a great degree fast and supports huge data sets in real-time. It additionally delivers dynamic interaction and animation in both 2D and 3D with a minimal overhead.

The functional style of D3 enables you to reuse codes through the different collections of components and plug-ins.

4. Fusion Chart

Fusion Chart XT is a Javascript charting library for the web and mobile devices, spread crosswise over 120 nations with having customers, for example, Google, Intel, Microsoft and numerous others.

Be that as it may, you require a bit knowledge on Javascript for executing it.

Technically, it gathers information in XML or JSON format and renders it through charts utilizing Javascript (HTML5), SVG and VML format.

It gives more than 90 chart styles in both 2D and 3D visual formats with a variety of features like scrolling, panning, and animation effects.

It likewise gives 950+ maps of different places far and wide. Exporting charts are easy, you can export any diagram in PNG, JPG or PDF format to anyplace.

Fusion Charts is available on Android, iPhone, iPad, MAC and Windows.

In any case, this data visualization tool isn’t free. Its pricing range starts from $199 (for singular developers or consultants) for 1 year and updates with one-month support.

Click here read the concluding part [5 – 10] of the post. Click here to read Concluding part [5 – 10]



Please enter your comment!
Please enter your name here