In this study, performance analysis of a suggestion system already developed was performed by using two different technologies. The system developed consists of two parts, including web and mobile. Mobile application part of the system receives from the users a range of information about decoration environment via image processing algorithms while web part of the system brings suggestions forward to the users by using collaborative filtering algorithms. Web and mobile application parts work concurrently in an integrated manner. The purpose of the system is to provide the user with the most appropriate result as soon as possible. Database operations are therefore required to be minimized. The system developed under the scope of this study was tested individually using conventional SQL queries and Entity Framework technology and both accuracy and performance analysis of the system was conducted.