Uzunbayır, Serhat2023-06-162023-06-1620229.78E+12https://doi.org/10.1109/UBMK55850.2022.9919589https://hdl.handle.net/20.500.14365/36567th International Conference on Computer Science and Engineering, UBMK 2022 -- 14 September 2022 through 16 September 2022 -- 183844The importance of big data, one of the most popular and researched topics of today, has been a subject of constant debate. Big data appear in almost every aspect of our lives, such as healthcare, education, shopping, social media, and industry; however, its storage and processing is not very efficient when using traditional methods. Therefore, the aim of this study is to obtain big data using a novel social shopping application that collects data from its users. The application is designed to collect information about people, products, and friendships among people, as well as product relationships, and post creations, and also enables setting up various options to mark products, such as like, buy, have, or help. The data gathered by the system is analyzed using both relational and non-relational databases, and the performance of these databases is then compared using specific queries, to reveal the model which performs better and more efficiently. Three different database models were designed and implemented for the system; a relational database, a document database, and a graph database. As a result of the experiments, there is no single model that is superior to the others as all three databases have their advantages and disadvantages. Therefore, the database selection should be decided based on the application domain. © 2022 IEEE.eninfo:eu-repo/semantics/closedAccessbig datadocument databasegraph databasenosqlrelational databasesBig dataDigital storageQuery languagesBig data applicationsDocument databaseGraph databaseHealth care educationMongoDBNon-Relational DatabasesNosqlPerformanceRelational DatabaseSocial mediaGraph DatabasesConference Object10.1109/UBMK55850.2022.99195892-s2.0-85141885837