Optimizing Data-Intensive Web APIs Using SQL Stored Procedures

Abstract

In the era of high-performance web applications, APIs play a critical role in managing the interaction between frontend clients and backend data systems. When dealing with large volumes of data, performance, maintainability, and scalability become key challenges. SQL stored procedures offer a powerful solution by encapsulating data processing logic directly within the database. This paper explores how stored procedures optimize the performance of data-intensive web APIs by reducing network overhead, improving execution speed, and enabling efficient resource usage. Through discussion of architectural considerations, best practices, and real-world application scenarios, we highlight the practical benefits and trade-offs of leveraging stored procedures in modern web development. The goal is to demonstrate how this database-centric approach supports robust, scalable, and secure API operations.