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BACKEND TECHNOILOGIES

Right Choice of Technology Keeps You Ahead

Backend Technologies

The back-end is the part of the app that remains hidden to users. The information that users require through the app is accessed in the back end, it combines and transforms such information, and returns the information in its new shape to the requester. Choosing the right technology for backend is crucial.

PHP and Frameworks

PHP frameworks provide well-organized, reusable and maintainable code, which makes Agile development possible. We mostly work with PHP and its frameworks like Laravel, Codeignitor, and CakePHP. Laravel has many features that make rapid application development possible. Strength of CodeIgniter is speed, it runs faster with database tasks, where CakePHP brings speed, reliability, and security.

C#

C# is a great language for enterprise applications, it is used to develop web applications and has become increasingly popular for mobile development too. Because it’s powerful, flexible, and well-supported, C# has quickly become one of the most popular programming languages available.

Asp.Net

ASP.NET is most suitable for e-commerce web development, intranet, and extranet web solutions, portal development and feature-rich customized .NET applications. This open-source, server-side web application framework has an array of benefits like an integrated development environment, data binding and page formatting. It is recommended for MVC, Web pages and WebForms.

Node JS

Node.js helps enterprises build fast, flexible applications that can handle parallel connections with high throughput. It is an exponential choice for real-time application and an open-source cross-platform runtime environment written in javascript. It has become the top choice of web developers for the development of web applications.

Python

Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. It is great for backend web development, data analysis, artificial intelligence, and scientific computing. It can be easily integrated into web applications to carry out tasks that require machine learning.

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