Due to recent developments in cloud computing services, cloud database per- formance is attracting a lot of research attention. Although the advantages of cloud database, ( exibility, automatic software updates, increased collaboration, reduced IT sta and maintenance costs and saved time and e orts on the under- lying IT infrastructure), still there are many challenges cloud database should overcome to be more reliable. One of these challenges is scalability, which is the ability to support and handle a relatively high number of concurrent users and data growth, without a ecting the performance. Mobile agent technology has proven eciency in distributed systems due to its autonomous and mobility characteristics. Since cloud database is distributed by its nature, this research studies the eciency of using mobile agent approach over traditional client-server approach with cloud database. Furthermore, the research presents as well the comparison of database performance running on Amazon Elastic Compute Cloud (EC2) while executing concurrently the same queries, using same data and under same circumstances by two versions of the same application: Mobile Agent-based version and traditional Client-Server ver- sion. As a result, the mobile agent version indicates better memory consumption and shorter response time, due to mobile agent interference in the process, and the overall performance was boosted.