Abstract
References
- Papadhopulli, I., & Paci, H. (2024). GraphQL: A comprehensive analysis of its advantages, challenges, and best practices in modern API development. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 32, 230-237.
GraphQL: A Comprehensive Analysis of Its Advantages, Challenges, and Best Practices in Modern API Development
Abstract
GraphQL, a query language and execution engine for application programming interfaces (APIs), has rapidly gained traction as a flexible and efficient alternative to traditional representational state transfer (REST) APIs. This paper aims to increase awareness of GraphQL by providing a comprehensive overview of its status in the industry, comparing its features and capabilities with those of REST, and addressing common concerns regarding security and performance. We explore the distinct advantages of GraphQL, such as its ability to allow clients to request precisely the data they need and its streamlined approach to data fetching and mutation. Additionally, we examine the inherent challenges and potential performance bottlenecks associated with GraphQL, offering best practices and solutions to mitigate these issues. The paper also delves into security considerations specific to GraphQL, emphasizing the importance of proper query validation, authorization, and rate limiting. Through detailed analysis, this paper seeks to elucidate the benefits and drawbacks of GraphQL, ultimately demonstrating why it is a powerful tool for modern API development and how it can be effectively implemented to enhance data interaction and overall application performance.
Keywords
References
- Papadhopulli, I., & Paci, H. (2024). GraphQL: A comprehensive analysis of its advantages, challenges, and best practices in modern API development. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 32, 230-237.
Details
| Primary Language | English |
|---|---|
| Subjects | Software Engineering (Other) |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | December 10, 2024 |
| Publication Date | December 30, 2024 |
| Submission Date | May 24, 2024 |
| Acceptance Date | July 2, 2024 |
| Published in Issue | Year 2024Volume: 32 |
