2. Disadvantage

Node.js applications can be susceptible to certain types of security vulnerabilities, especially if not properly managed. Issues such as dependency vulnerabilities, improper handling of user inputs, and misconfigurations can expose applications to security risks. Regular updates and careful management of dependencies are essential to mitigate these risks.

As Node.js evolves rapidly, new versions can introduce breaking changes or deprecate features. This can lead to compatibility issues, requiring frequent updates to libraries and codebases to maintain compatibility with newer Node.js versions.

Although tooling for Node.js has improved significantly, debugging can still be challenging, especially in complex applications. Traditional debugging techniques might not always apply, and developers may need to rely on specialized tools or adopt new debugging strategies.

In Node.js, unhandled errors can crash the process, which might not be immediately obvious. Proper error handling is crucial, and while Node.js has made strides in this area, managing errors and ensuring that they are caught and handled properly can still be challenging.

Node.js applications can sometimes have high memory usage, particularly when handling large amounts of data or running long-lived processes. The V8 JavaScript engine’s garbage collection can also lead to unpredictable memory usage and pauses, which can be problematic in performance-critical applications.

Node.js is optimized for I/O-bound tasks rather than CPU-bound tasks. Applications that require extensive computation or heavy data processing can suffer from poor performance, as the single-threaded nature of Node.js can lead to blocking the event loop and degrading the performance of other operations.

Node.js operates on a single-threaded event loop model, which means it can handle many connections concurrently but relies on this single thread to process events. This can be a disadvantage for CPU-bound tasks or applications with heavy computational requirements, as the single thread might become a bottleneck, causing performance issues or making the application less […]

If you want to make the applications more scalable, the necessary requisite is adoption of the asynchronous programming model. However, many developers may find this programming model to be more difficult in comparison to the linear blocking I/O programming. Another con of the asynchronous programming is the codes tend to become clumsy and the programmers […]

The JavaScript does not have a well equipped and robust library system in comparison to other programming languages. The result is that the users are forced to take the support of common library for executing various tasks such as Object-Relational Mapping (ORM), processing of the images, handling database operations, and XML parsing etc.

One of the key problems that most of the developers encounter is the Application Programming Interface (API) keeps on changing at frequent intervals and does not remain stable. At times, a new API appears having a number of backwards-incompatible changes. As a result the developers are forced to make changes in the accessible code bases […]