Context: There has been an exponential growth in the size of the databases in the recent times and the same amount of growth is expected in the future. There has been a firm drop in the storage cost followed by a rapid increase in t he storage capacity. The entry of Cloud in the recent times has changed the equations. The Performance of the Database plays a vital role in the competition. In this research, an attempt has been made to evaluate and compare the performance of the traditional database and the Cloud Database. Objectives: This thesis investigates about the prior works on the issues that affect the performance of Cloud Database. And compares the performance of a Database in Traditional to that Cloud Environments Methods: Two different research methods are used to carry the research. They are Systematic Literature Review (SLR) and Quantitative Methodology. Articles from Scientific Databases are chosen for SLR process. Results: From the SLR process, 4 issues were identified. From the Experimentation results, Cloud Database is having poor performance compared to the Traditional Database. Conclusions: Issues that affect the performance of Cloud Database are identified and a test bed is created to test the performance of a Database. Attempts are to be made to improve the performance of Cloud Database.