What are the advantages and disadvantages of using a popular back-end language versus a niche one?

Popular programming languages are easier to learn because they have larger communities and more documentation. Therefore, the number of programmers in these languages is larger and the competition is higher.

Large Talent Pool: Popular back-end languages like JavaScript, Python, Ruby, Go and Java have extensive communities & large talent pools. This makes it easier to find skilled developers and resources for projects. Abundance of Resources: Popular languages typically have extensive documentation, tutorials, forums, & online communities, providing developers with a wealth of resources and support. This can facilitate faster development, troubleshooting, and knowledge sharing. Robust Ecosystem: Popular back-end languages often have rich ecosystems of libraries, frameworks, tools, and & that can streamline development and enhance productivity. Developers can leverage pre-built solutions for common tasks, reducing development time and effort.

Actually, I disagree with the statement that popular Backend languages such as: Python; Ruby; Javascript, could be difficult to learn. I would say that they've gotten popular precisely for being easy to learn.

Advantages: - Active communities for support and resources - Platform and database compatibility - Constant updates to meet industry standards - High demand in the job market Disadvantages: - Security vulnerabilities due to widespread use - Steep learning curve for some languages - Limited innovation and customization - Market saturation and fierce competition Conclusion: Popular back-end languages offer many benefits but also come with challenges like security issues and market saturation. Developers should choose a language based on project needs and career goals.

I started with C# backend, but later on in my job, I worked on Java projects predominantly. The advantage is the large community, rich documentation, and countless readily available answers when encountering issues. Moreover, finding job opportunities is also easier.

Learning unique languages like Go can lead to better job opportunities. Some companies value expertise in these languages and offer higher pay. However, job options may be limited as not all companies use them. Joining smaller language communities can offer leadership opportunities but may also have challenges like lack of support and dealing with bugs.

This depends on the nature of the project you're working on: Does the language you choose provide good support for the problem you need to solve? How are the supporting platforms? For example, if I want to use Azure or if I have a server running Windows, I would prioritize developing my project using C#. Alternatively, if the server hardware is low, Go could be used to run it.

Small community or less libraries/frameworks are for sure reasons to consider but these should not influence developers not to learn/use these languages. Sooner or later we’re going to see a better community, libraries and frameworks. Whenever there’s a requirement that the niche language can handle better (substantially better just to be clear), do not shy away from it.

Less common back-end languages like Go, Rust, Elixir, Scala, and Clojure indeed offer unique advantages and challenges worth considering. These languages are designed to address specific problems not well-served by more popular languages, making them more modern and innovative. Their flexibility and expressiveness enable developers to write concise, customized solutions with less code. Moreover, their niche status translates to less competition and higher demand for skilled developers. However, it's important to acknowledge the challenges they present, including smaller and less mature communities with limited support and resources

You must try Go. Go has been developed by Google Devs. It compiles fast, is simple to learn (onboarding new hires is a pleasure), and implementing parallelism in Go is as easy as adding "go" in front of your function calls! Go is the present and the future of backend :)

Consider factors like: - Project requirements - Performance needs - Scalability - Developer expertise - Ecosystem support - Compatibility - Maintenance - Market demand Choose wisely for success!

When choosing a back-end language, consider market demand (languages like Java, JavaScript, Python, and C# are top choices), community support (tutorials, libraries, third-party services), active maintenance of the language and its ecosystem, and built-in security features to protect against common vulnerabilities.

There are several things to consider when choosing a back-end language: We need to consider market demand, some languages like Java, Javascript, Python, and C# are always on top of developer surveys and job listings. The community support, where I can find tutorials, rich third-party services, and libraries. Ensure the language and its ecosystem are actively maintained and updated. The language and framework offer built-in security features that can help protect common vulnerabilities.

For choosing your back-end language, you should consider about domain of project and how big your project will do. If your project is small and need to quickly finish, such as run a MVP, Javascript is a best choice for it, easy to find the member, everybody know about it and community is really big, you can easy and quickly to find solution when you're facing some problem when coding.

To choose a back-end language, it also depends on your team's expertise. Leverage existing skills can reduce the onboarding time, improve productivity and ensure the high-quality and maintainable code. For my instance, my team proficient in Python and can use Django, Flask, FastAPI, so there is no reason to choose another language, because the developers are productive when working with their familiar and preferred tools.

When choosing a back-end language, consider: - Integration: Compatibility with other technologies. - Ecosystem: Availability of tools and libraries. - Scalability & Performance: Suitability for high-scale systems. - Team Preferences: Fit with team skills and culture.

When developing an MVP, prioritize speed over perfection. Choose a technology stack that allows for rapid development and leverages your team's expertise. Focus on essential features, gather feedback early and often, and be ready to adapt based on user input. The goal is to get your product to market quickly for validation and improvement.

In my opinion, each language is born to address the shortcomings of other existing languages. Therefore, choosing the right language depends on your project, circumstances, and it may suit one person but not another.

When choosing a backend language, examine all of the important technical aspects such as scalability, ease of maintenance, and the community support. In a microservices architecture, there's no need for strict language commitment; instead, you have the freedom to choose strategically. This approach empowers you to select languages based on specific service needs, significantly enhancing the overall efficiency and performance of your system.