Comparative Study of GraphQL vs. REST APIs in DataIntensive Applications
Keywords:
GraphQL, REST API, data-intensive applications, performance, scalability, flexibility, API architecture, web development, benchmark, API design, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Research Gate, SSRN, ISSN, Academia, UGC Care, PubMed, WOSAbstract
The increasing demand for efficient data management in modern web applications, especially in data-intensive environments, has made API design a critical consideration. Two prominent architectural styles for building APIs are GraphQL and REST, both offering distinct advantages and challenges. This paper presents a comparative study of GraphQL and REST APIs, focusing on their application in data-intensive scenarios. We explore the core differences in their design principles, performance, flexibility, and scalability, along with their suitability for handling large volumes of dynamic data. Based on a series of benchmarks and use case evaluations, the paper highlights the strengths and limitations of each approach, providing valuable insights for developers and organizations seeking to optimize their API architectures for data-heavy applications.
