GraphQL’s Role in Reducing Latency in High-Volume E-Commerce Transactions

Authors

  • Kalaivani S Independent Researcher Cantonment, Tiruchirappalli, India (IN) – 620001 Author

Keywords:

GraphQL, latency reduction, e-commerce transactions, REST API, data fetching, performance optimization, high-volume systems, serverless architecture, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Research Gate, SSRN, ISSN, Academia, UGC Care, PubMed, WOS

Abstract

This study explores the impact of GraphQL on reducing latency in high-volume e-commerce transactions. By enabling efficient data retrieval and minimizing over-fetching and under-fetching issues, GraphQL offers a tailored query approach that optimizes performance in complex, data-intensive environments. The paper evaluates GraphQL's performance in contrast to traditional REST APIs using a simulated e-commerce platform under high-traffic conditions. Results demonstrate that GraphQL improves response times, reduces bandwidth usage, and enhances user experience, making it a compelling choice for modern e-commerce platforms. 

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Published

2025-04-02

Issue

Vol. 2 No. 2 (2025): Apr-Jun 2025

Section

Articles

How to Cite

GraphQL’s Role in Reducing Latency in High-Volume E-Commerce Transactions . (2025). International Journal of Engineering Research in Big Data Systems, 2(2), Apr (1-6). https://ijerbds.org/index.php/ijerbds/article/view/27