Please let me know if the following references/sites are useful to you:

1.  6 Big Data Visualization Tools Everyone in the Industry Should Be ...

https://www.promptcloud.com/blog/6-big-data-visualization-tools-for-youFeb 24, 2016 ...

2.  10 Data Visualization Tools To Bring Analytics Into Focus

..

http://www.informationweek.com/big-data/software-platforms/10-data-visualization-tools-to-bring-analytics-into-focus/d/d-id/1325679Jun 1, 2016 ... 

3.  39 Data Visualization Tools for Big Data | ProfitBricks Blog

https://blog.profitbricks.com/39-data-visualization-tools-for-big-data/Feb 13, 2014 ... B

4.  Review of 20 best big data visualization tools - Big Data Made Simple

http://bigdata-madesimple.com/review-of-20-best-big-data-visualization-tools/Big Data is amazing. It describes our everyday behavior, keeps track of the places we go, stores what we like to do and how much time we spend doing our fa.

Dennis

Dennis Mazur

I recommend and use R with ggplot, tidyverse and different other tools 

Thank you for your answers. Attached some links I found recently

I would like to know, about methodologies or techniques to evaluate visualization tools in big data

http://flowingdata.com/2016/12/29/best-data-visualization-projects-of-2016/

http://www.creativebloq.com/design-tools/data-visualization-712402

Some years ago, a couple of papers appeared to analyse the state-of-the-art. I think youi could find somehint there for your research. The papers were:

Harger, J.R.; P.J. Crossno (2012). Comparison of open-source visual analytics toolkits. In Proceedings of the SPIE Conference on Visualization and Data Analysis;

Zhang L.; A. Stoffel; M. Behrisch; S. Mittelstädt; T. Schreck; R. Pompl; S. Weber; H. Last; D.A. Keim (2012). Visual analytics for the big data era - a comparative review of state-of-the-art commercial systems. Proceedings of IEEE Symposium on Visual Analytics Science and Technology

Dear Luis Alberto, see also the following site by Milan Polithecnic, Italy, and that by Dr. Mauro Martino, Visual Data expert.  Gianluca

http://www.densitydesign.org/

http://www.mamartino.com/projects.html

I'd recommend that you consider caveats to simply 'putting the cart before the horse' - Ie. selecting a technology prior to understanding what you truly want to accomplish in messaging, and to whom. We discuss this in depict in our text on Visual Analytics for Management. I also get into this a bit in Article Fit, Bias and Enacted Sensemaking in Data visualization: Fra...