.NET Core Vs. Java Spring Boot: A Review-Driven Performance Assessment for Cloud-Native API Architectures
Keywords:
Cloud-Native API Development, Java Spring Boot, .NET Core, Serverless Computing, RESTful Web APIs, Cloud Computing Frameworks, Microservices Architecture, Enterprise Software Scalability, Containerization and KubernetesAbstract
The development of cloud-native APIs which allow scalability, resilience, and performance optimization will be absolutely crucial for modern program design. Two of the most widely used frameworks, Java Spring Boot and .Net Core both provide particular advantages for the expansion of microservices born on clouds. Choice of a proper framework determines most importantly performance, resource economy, and scalability in deployment.
This article compares Java Spring Boot with .Net Core using industry benchmarks, historical data, and already published experimental results. Important benchmarks including startup length, request delay, throughput, memory and CPU utilization, containerizing's efficiency, and other security aspects are rigorously evaluated in this work. This study differs from empirical studies by aggregating earlier paper results, so offering a logical evaluation of every paradigm.
Since .Net Core typically provides enhanced startup times, reduced memory consumption, and high throughput, the results show that .Net Core is especially suited for high-performance applications and serverless computing. Conversely, Spring Boot uses strong interaction with Spring Cloud and values robust community support, so showing better suited for corporate use.
This study is to assist developers and software architects in selecting knowledge-based frameworks for cloud-native apps. Future research should consider practical applications if we want to strengthen the theoretical commonalities.
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