For maintaining the authenticity, privacy and confidentiality of larger dataset are outsourced to the cloud in the encrypted format. Cloud storage provides data management and reduces the costs. Various clustering methods like K mean, K nearest neighbouring, DBSCAN clustering methods are implemented to cluster massive data that are related to each other using the map-reduce framework in big data analytics. Clustering was done on encrypted partitioned data in order to protect the information from the third party access. Various approaches have been used for securing and maintaining the efficiency and performance of millions of dataset with variety, velocity, and volume.