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Why C# over Java? Part 1 — Anselm Fowel
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Why C# over Java? Part 1

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Why C# over Java? Part 1

If you are a beginner programmer or looking to advance your career, you might be wondering which programming language to learn or use for…

Why C# over Java? Part 1

If you are a beginner programmer or looking to advance your career, you might be wondering which programming language to learn or use for your projects. Two popular options are C# and Java, both of which are general-purpose, object-oriented languages with strong communities and support. However, there are some key differences between them that might make one more suitable for your needs than the other. In this blog post, we will compare C# and Java and explain why you might prefer C# over Java.

C# is a modern and flexible language

C# was developed by Microsoft in 2000 as part of its .NET initiative. It is designed to be a simple, modern, and powerful language that supports multiple paradigms such as imperative, declarative, functional, generic, object-oriented, and component-oriented programming. C# also receives regular updates every few years to add new features and improve performance. The latest version of C#, 10.0, was released in November 2021.

One of the advantages of C# is that it supports both strong and implicit typing, meaning that you can declare variables with or without specifying their types. This gives you more flexibility and convenience when coding. For example:

// Strong typing
int x = 10;
string name = "Alice";
// Implicit typing
var y = 20;
var greeting = "Hello";

Another advantage of C# is that it has automatic garbage collection, which means that you do not have to worry about managing memory or deleting unused objects manually. The compiler and the runtime take care of this for you behind the scenes.

C# also has language interoperability with other .NET languages such as F#, Visual Basic, or Python. This means that you can use libraries and components written in these languages in your C# code seamlessly. This gives you access to a rich set of functionality and resources from different sources.

C# is less verbose than Java

When comparing C# vs Java syntax, you will notice that C# is less verbose than Java. This means that you can write less code to achieve the same functionality or express the same logic. This makes your code more concise, readable, and maintainable.

For example:

// Java

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public class Person {
private String name;
private int age;
public Person(String name, int age) {
this.name = name;
this.age = age;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public int getAge() {
return age;
}
public void setAge(int age) {
this.age = age;
}
}

// C#

public class Person {
// Properties with getters and setters
public string Name { get; set; }
public int Age { get; set; }
// Constructor with parameters
public Person(string name, int age) {
Name = name;
Age = age;
}
}

As you can see from the example above,

- In C#, you can use properties instead of fields with getters and setters methods.
- In C#, you do not have to specify the access modifier for each method if they are public by default.
- In C#, you do not have to use the keyword “this” to refer to the current instance if there is no ambiguity.

These are just some examples of how C# reduces boilerplate code compared to Java.

C# has more features than Java

Another reason why you might choose C# over Java is that C# has more features than Java that can make your coding easier and more enjoyable. Some of these features are:

- Operator overloading: You can define custom behaviors for operators such as +,-,* etc for your own types.
- Delegates: You can create references to methods or functions and pass them around as parameters or assign them to variables.
- Events: You can create custom events that notify subscribers when something happens.
- Anonymous methods: You can create inline methods without giving them names.
- Lambda expressions: You can create anonymous functions using a concise syntax.
- LINQ: You can query data from various sources such as arrays,
collections,
databases,
XML etc using a SQL-like syntax.
- Async/await: You can write asynchronous code using keywords that simplify handling callbacks and promises.
- Nullable types: You can assign null values to value types such as int,
double,
bool etc using a question mark (?).
- Generics: You can create classes,
methods,
and interfaces that work with any type using placeholders (<T>).
- Extension methods: You can add new methods to existing types without modifying their source code or creating subclasses.

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Comments (8)

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Chidi Obi

April 20, 2023

Quick q on the middle bit — how do you handle backpressure when the core banking system returns 5xx? We're on AWS org unit split and the sidecar reconciler feels overkill for our scale.

Megan Davis

April 13, 2023

Quick question on the middle example — does the pattern hold when you have to support both sync and async callers? We keep running into the high-fanout case and the textbook answers do not always survive contact.

Arthur Fletcher

April 10, 2023

Quick question on the middle example — does the pattern hold when you have to support both sync and async callers? We keep running into the high-fanout case and the textbook answers do not always survive contact.

Toby Ashcroft

April 2, 2023

Enjoyed this one. One nit: the reversal window for batch job SLA breaches is usually more like 72 hours in practice, not 4.

Florence Templeton

March 30, 2023

Enjoyed this one. A small nit: in nothing fixed — I evaluate their stack you get most of this for free via the primary index.

Damilola Adeoye

March 25, 2023

Refreshing to read this framed for our market rather than lifted from a Silicon Valley playbook. Specifically the operational piece — NIBSS audit for it, and that changes the design constraints in ways the US-centric literature never touches.

Bola Ajayi

March 25, 2023

Small pushback: the framing here maps cleanly onto high-throughput consumer payments, less so onto remittance corridors where the audit trail requirement is years, not months. In our operations we ended up doing the opposite and it's been the right call.

Ryan Martinez

March 24, 2023

SRE at a B2B card issuer. We hit this exact thing with error budget burn last Jan — tail latency was the presenting symptom, and the middle section of your post is basically how we untangled it. Ended up carving off a sidecar processor on Istio, cut error rate by 80%. For context: 4-service graph.

About the author

Anselm Fowel

Anselm Fowel

Chief Technology Officer & fintech architect. 16+ years leading engineering across AlliancePay, Mondu, Transalliance, Global Accelerex, and Fidelity Bank — writing here about engineering leadership, fintech architecture, and AI in production.

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