Cloud computing becomes more popular because of their elastic nature and thus makes a greater effects in the day-to-day activities of users. Usage of information by the peoples is increasing tremendously which cannot be handled by users alone. Thus, users intend to utilize the cloud services to manage their large growing data's. Cloud provides a one of the widespread service as Software as a Service (SaaS) which enables users to utilize the latest updated software to accomplish their tasks. The main problem of SaaS is difficult to maintain the log information of user; it is increased directly when the numbers of users are increased. In SaaS environment the log data processing turn into more critical factor, it is more complex to handle for large volume of size. Some of the researches have been conducted towards performing log data processing using data mining techniques for the SaaS applications in the Hadoop environment. The analysis has been carried over on the different researches of log data processing in terms of their working procedure, merits and demerits. This analysis provides the backlogs of various methods with comparison. The performance is analyzed by comparing all methodologies with each other in factor of their merits and demerits.
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