Disadvantages of (web) programming languages


2022 edition

There are many programing languages comparisons out there, and everyone tends to lean toward their favorite one. I would rather point out what you cannot do with some of them, which should be the only reason to (not) use one of them… otherwise, you should always use one which you’re most familiar with (or which the client wants 🙂

Sources: GeekForGeeks, CodeMentor, Toptal blog, Medium.


1- Performance
Java programs take a much longer time and use way more resources than most of the rest.

2- Memory
Since Java programs run on top of Java Virtual Machine, it consumes more memory.

3- Cost
Since memory and processing requirements are higher, hardware cost increases.

4- Low-level programming
There is no support for low-level programming in Java, like pointers are missing.

5- Garbage collection
There is no control over garbage collection in Java. That is programmer does not have any right to control the garbage collection. Java does not provide functions like delete(), free().

6- No Unsigned Types Unlike C/C++, Java does not support unsigned int, unsigned char, … etc. However, in Java 8, API for unsigned long and unsigned int is introduced (Please see this oracle doc).


  1. It is not that secure due to its open-source, because the ASCII text file are often easily available. 
  2. It is not suitable for giant content-based web applications. 
  3. It has a weak type, which can cause incorrect data and knowledge to user. 
  4. PHP frameworks got to learn to use PHP built-in functionalities to avoid writing additional code. 
  5. Using more features of PHP framework and tools cause poor performance of online applications. 
  6. PHP don’t allow change or modification in core behavior of online applications. 
  7. The PHP frameworks aren’t equivalent in behavior so does their performance and features. 
  8. While PHP may be a powerful tool supported by an outsized community and plentiful reference documentation, there are easier programming languages for web apps. 
  9. It is widely believed by the developers that PHP features a poor quality of handling errors. PHP lacks debugging tools, which are needed to look for errors and warnings. PHP has less number of debugging tools in comparison to other programming languages. 
  10. It’s highly tough to manage because, it’s not competent modular. It already imitates the features of Java language.


  1. Ruby code is difficult to debug and sometimes generates an error during runtime.
  2. It has less information compared to other programs.
  3. It has lower flexibility and not so popular.
  4. Slow processing.
  5. Has few use cases other than web development,
  6. Has a small community support


  1. Although it’s one of the most expressive languages available, it can be considered inelegant and wasteful when compared to Ruby because of its explicit style;
  2. It’s not native to mobile environment;
  3. As an interpreted language, it can be slower than other languages.

NodeJS (javascript)

  1. Reduces performance when handling Heavy Computing Tasks
  2. Node.js invites a lot of code changes due to Unstable API
  3. Node.js Asynchronous Programming Model makes it difficult to maintain code
  4. Choose Wisely – Lack of Library Support can Endanger your Code
  5. High demand with a few Experienced Node.js Developers


  1. Since with Scala, you can always switch back to an object-oriented paradigm. So, it doesn’t force you to think functionally. You can think of this as a double-edged sword.
  2. Being a hybrid of functional and object-oriented can sometimes make type-information a bit harder to understand.
  3. Since it runs on the JVM, it has no true tail-recursive optimization. As a workaround, you can use the @tailrec annotation for partial benefits.
  4. Scala has a limited developer pool. But while it is easier to find Java developers in numbers, not every Java developer has what it takes to code efficiently in Scala.


1. Lack of Function Overloading and Default Values for Arguments

2. Lack of Generics

This is arguably the feature Go users are asking for the most.

Imagine that you want to write a map function, where you are passing the array of integers and the function, which will be applied to all of its elements.

3. Dependency Management
Anybody who has experience in Go can say that dependency management is really hard. Go tools allow users to install different libraries by running go get <library repo>. The problem here is version management. If the library maintainer makes some backwards-incompatible changes and uploads it to GitHub, anybody who tries to use your program after that will get an error, because go get does nothing but git clone your repository into a library folder. Also if the library is not installed, the program will not compile because of that.

4. Error Handling
Error handling in Go is dead simple. In Go, basically, you can return multiple values from functions, and function can return an error


  1. Learning Rust may not be that simpler, and also requires a good knowledge about C++ or any object-oriented language.

2. Since Rust is a system programming language also, therefore performing simple kinds of tasks also may take lots of understanding and use of different syntaxes.

3. In Rust, the codes cannot be developed as fast as can be developed in other scripting languages like Python or Perl.

4. There is no garbage collection in Rust.

5. The Compiler of Rust is very slow compared to the other typical programming language compiler.

6. The binary files which are created in Rust are much larger but the codes are not efficient to that level.

7. In the case of scripts that are more than a thousand lines, the compile-time may be much higher, maybe around a minute or two.

Got anything to add? Please, contact me to make this list complete.


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