Comparative Analysis of Data Redundancy and Execution Time between Relational and Object-Oriented Schema Table

Abstract

Database design is one of the important phases in designing software because the database is where the data is stored in the system. One of the most popular techniques used in database design is the relational technique, which focuses on entity relationship diagram and normalization. The relational technique is useful for eliminating data redundancy because normalization produces normal forms on the schema tables. The second technique is the object-oriented technique, which focuses on a class diagram and generating schema tables. An advantage of the object-oriented technique is its close implementation to programming languages like C++ or Java. This paper is set to compare the performance of both relational and object-oriented techniques in terms of solving data redundancy during the database design phase as well as measuring query execution time. The experimental results based on a course database case study traced 186 redundant records using the relational technique and 204 redundant records when using the objectoriented technique. The query execution time measured was 46.75ms and 31.75ms for relational and object-oriented techniques, respectively.