We use ANOVA to compare mean for multiple groups  (more than two groups). For comparison mean in tow groups, the t-test  used.

First of all, if you have two groups, this means that you may be able to conduct a simple independent t-test to compare those groups. But as you are speaking of "different features", I assume you have more than one outcome/dependent variable. In this case, a Hotelling's T^2 test could be helpful, a multivariate generalization of the normal t-test.

But despite this, if you have no clue even what an ANOVA is, you should visit a local statistician or at least consult a good textbook, BEFORE doing any analyses. This is not only to understand what you are doing (which should be a precondition...), but because there are many assumptions to be met before conducting any of these analyses and some pitfalls in which you can fall into. This will also help to understand and interpret your results. So there is no quick way to do this without making any mistakes.

Thanks Ehsan Zarei and Rainer Duesing

It will be good if you suggest some textbook or some links to study  tests

(ANOVA, t-test and the p test) for statistical analysis.

I most often recommend Andy Field - Discovering Statistics Using SPSS (also available as SAS and R version), quite funny to read (really!) and he exlains it for users not for statisticians. He leads you through every analysis step, helps with the exploration of assumations and the intepretation of the results. On his website, you'll find lots of additional stuff to almost every topic he covers in the books.

Hope this helps!

Rainer

https://uk.sagepub.com/en-gb/eur/discovering-statistics-using-ibm-spss-statistics/book238032

https://uk.sagepub.com/en-gb/eur/discovering-statistics-using-r/book236067

https://uk.sagepub.com/en-gb/eur/discovering-statistics-using-sas/book234095

http://www.statisticshell.com/

Thank you Rainer Duesing...I will go through links you provided.