The Pros And Cons Of Using Node.js
Advantages of Using Node.js
Supports Caching: The open source runtime environment further supports caching of individual modules. Each time a module is requested for the first time, it is cached in application memory. Hence, the application can load the cached modules quickly without requiring the module code to be re-executed. The caching feature enables the application to load web pages and respond to user requests more quickly.
Highly Extensible: In addition to supporting several commonly used web development tools, Node.js is also highly extensible. Its open source nature further makes it easier for programmers to customize and extend Node.js according to their specific needs. Also, they can use JSON to facilitate data exchange between the web server and the client. Despite being lightweight, Node.js comes with built-in APIs for developing HTTP, TCP, DNS and similar servers.
Disadvantages of Using Node.js
Unstable Application Programming Interface (API): Many programmers complain that Node.js API keeps changing at frequent intervals. Sometimes the new API comes with a number of backwards-incompatible changes. The backwards-incompatible changes make it essential for programmers to make changes to the existing code base to make it compatible with the latest version of Node.js API.
Asynchronous Programming Model: To enhance scalability, Node.js requires programmers to adopt an asynchronous programming approach. Many developers find the asynchronous programming model to be more complicated than linear blocking I/O programming. Also, the model makes the code look messy and compels coders to rely on nested callbacks.
Not Suitable for Large and Complex Web Applications: At present, Node.js does not support both multi-threaded programming. So it queues the incoming requests and executes them sequentially at the time of processing long running tasks. The process increases the time required by an application to respond to user requests. Likewise, many programmers find it difficult to use the runtime environment for computational intensive tasks.