Java vs Ruby: What are the differences?
Java: A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible. Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!; Ruby: A dynamic, interpreted, open source programming language with a focus on simplicity and productivity. Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.
Java and Ruby can be categorized as "Languages" tools.
"Great libraries", "Widely used" and "Excellent tooling" are the key factors why developers consider Java; whereas "Programme friendly", "Quick to develop" and "Great community" are the primary reasons why Ruby is favored.
Ruby is an open source tool with 15.9K GitHub stars and 4.25K GitHub forks. Here's a link to Ruby's open source repository on GitHub.
Airbnb, Uber Technologies, and Spotify are some of the popular companies that use Java, whereas Ruby is used by Airbnb, Square, and Codecademy. Java has a broader approval, being mentioned in 2399 company stacks & 2723 developers stacks; compared to Ruby, which is listed in 2530 company stacks and 1140 developer stacks.
What is Java?
What is Ruby?
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By mid-2015, around the time of the Series E, the Digital department at WeWork had grown to more than 40 people to support the company’s growing product needs.
By then, they’d migrated the main website off of WordPress to Ruby on Rails, and a combination React, Angular, and jQuery, though there were efforts to move entirely to React for the front-end.
The backend was structured around a microservices architecture built partially in Node.js, along with a combination of Ruby, Python, Bash, and Go. Swift/Objective-C and Java powered the mobile apps.
These technologies power the listings on the website, as well as various internal tools, like community manager dashboards as well as RFID hardware for access management.
I chose Sqreen because it provides an out-of-the-box Security as a Service solution to protect my customer data. I get full visibility over my application security in real-time and I reduce my risk against the most common threats. My customers are happy and I don't need to spend any engineering resources or time on this. We're only alerted when our attention is required and the data that is provided helps engineering teams easily remediate vulnerabilities. The platform grows with us and will allow us to have all the right tools in place when our first security engineer joins the company. Advanced security protections against business logic threats can then be implemented.
Installation was super easy on my Node.js and Ruby apps. But Sqreen also supports Python , Java , PHP and soon Go .
It integrates well with the tools I'm using every day Slack , PagerDuty and more.
At our company, and I've noticed a lot of other ones... application developers and dev-ops people tend to use Ruby and our statisticians and data scientists love Python . Like most companies, our stack is kind of split that way. Ruby is used as glue in most of our production systems ( Java being the main backend language), and then all of our data scientists and their various pipelines tend towards Python
I use C# because it is incredibly clear and easy to use. The documentation is second to none, being a Microsoft product, and if you just want something that works without exploring a million frameworks and libraries you can pretty much start a C# website and have it running in an hour. C# is basically, in my opinion, a cleaner and easier to use Java. My experience is limited to web design, however. It might come down to personal opinion but I wouldn't even know where to start writing a java back end website but visual studio makes it very easy to write it in C#. If you are new to full stack development I can't recommend Visual Studio enough. It does, however, hide away a lot of abstraction that programmers much more clever than me use to make really interesting websites and server setups. C# will do everything you need to create any website you can imagine, though.
Before I end my rant about how much I love this language I'd like to reiterate how easy it is to figure out problems you encounter. I was stuck on how to store a path string in a database and found the solution by browsing the documentation for 2 minutes, which included examples. Every ASP element is clearly and wonderfully documented.
I use Dart because it is a fast, modern language with an intuitive package manager and syntax similar to Java, while less verbose (i.e. public by default,
_ in front of a variable, class, etc. to be private). Dart has an excellent asynchronous syntax making asynchronous calls such as filesystem interaction or HTTP requests simple and concise.
I adopted Clojure and ClojureScript because:
- it's 1 language, multiple platforms.
- Simple syntax.
- Designed to avoid unwanted side effects and bugs.
- Immutable data-structures.
- Compact code, very expressive.
- Source code is data.
- It has super-flexible macro.
- Has metadata.
I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.
I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).
As per my work experience and knowledge, I have chosen the followings stacks to this mission.
Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.
Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.
Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.
Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.
Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.
Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.
Happy Coding! Suggestions are welcome! :)
Our new backend micro services are primarily written in Node.js and Go and legacy systems are written in Java. For our new stack decision, we aimed to achieve greater developer productivity, low IO latency and good community so we had couple of technologies in hand to choose but finally we concluded to go for Node.js for API layer and Go for CPU/IO intensive tasks. Currently the inter-services communication is happening via REST but soon to be moved to RPC-based communication.
We are in the process of building a modern content platform to deliver our content thro