Data analysis has become one of the primary tools in big data business companies for solving problems and Hadoop has been the preferred platform to achieve this task. In different industrial as well as public sectors like finance management, health care sector and agro-industries, Hadoop has potentially changed the face of data analytics for providing the better services as also resolved various customer and management oriented complications. A survey of the secondary data was adopted in the present study wherein the participants were asked about their opinion in a questionnaire format. The study revealed that Hadoop is versatile and cost-effective in storing and processing of structured as well as unstructured data. Computational cost of a clustering algorithm could be significantly lowered by the use of fundamental mathematical ideas, and the computation time for a data analysis method would decrease through the concurrently using distributed computing. In a way Hadoop has proved successful in data processing and commercial operations and continues to be the preferred platform due to its abilities of using distributed file system to manage data storage, reading the huge data from one machine in big data analytics despite few potential limitations.