To prepare data for analysis, execute analytic algorithms and access the result, data analytic professionals are using a wide range of tools. With the change in time there have been increases in the depth and functionality of these tools. These tools are now having good richer user interfaces. Common tasks will be automated by these tools very easily. Due to these tools, data analytics professionals get more time to focus on analysis and get good results. Combination of new Tools and methods with the evolved scalability and process is helping for organization to tame Big Data. This paper describes a comparative study of open source tools used in data analytics in terms of interfaces, functionality and algorithms that can be used.