Frameworks For High Performance APIs

Frameworks can make or break an API.  In this article we will look at some of the highest performing API frameworks available for use.

Professional API developers consider a wide range of factors when selecting an API framework.  Chief amongst those is its abilities to support the operations and troubleshooting of the API as well as its performance.

For most, performance is king.  An underperforming API can result in poor transaction throughput as well as expensive and time consuming fixes.  In this article I will recommend two frameworks providing high transaction throughout as well as ease of API design and operations.

High Level Programming Languages

Whilst just about any programming language can be used to design an API not all perform well.  A framework is only as good as its underlying programming language.

Based on a comprehensive test conducted in 2017 by TechEmpower some interesting observations are noted.  Popular high-level programming languages such as PHP and Python are ranked lower in the list.  Their lower ranking indicates a poor transaction throughput.  Conversely programming languages such as Java and NodeJS (based on JavaScript) rate high in the list indicating a high transaction throughput.

Whilst the honors of highest transaction throughput belonging to C and C++ based frameworks the programming language is generally considered to be a low-level language.

High-level programming languages abstract much of the complexity and intricacies of development away from the software developer.  Functions which are regarded as common in high-level languages (such as those for working with arrays, hash tables and collections) are absent in low-level programming languages requiring more effort from the software developer.

Based on the list I will discuss two of the highest performing high-level programming languages.

Java Frameworks

The Java programming language was originally developed by Sun Microsystems which was initiated by James Gosling and released in 1995 as core component of Sun Microsystems’ Java platform (Java 1.0 [J2SE]).

Java is considered to be platform independent. Unlike C or C++ which has to be recompiled for each platform it is intended to run on Java operates the same irrespective of its target platform.  Code developed on a Windows machine under Java will run equally well on a Linux or Mac.  Because of its portability Java is the predominant language for embedded devices including Google’s Android.

Java is an interpretive language.  Unlike C and C++ which compiles to a native binary Java is executed by an interpreter native to the operating system.  Consequently Java binaries (interpreters) exist for a number of operating systems and hardware devices.

NodeJS FrameworksNodeJS is a high performance programming language based on Google’s V8 JavaScript engine.  JavaScript is significantly different over Java.

NodeJS is an interpretive language offering run-time binaries for a variety of operating systems and embedded devices.  Unlike Java which is fairly multi-purpose NodeJS is designed for highly performant and scalable web applications.

With careful programming and good selection of libraries NodeJS code can be made to be portable to work across a variety of operating systems and hardware devices.

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Written by YourAPIExpert