C vs JRuby: What are the differences?
Developers describe C as "One of the most widely used programming languages of all time". . On the other hand, JRuby is detailed as "A high performance, stable, fully threaded Java implementation of the Ruby programming language". JRuby is the effort to recreate the Ruby (http://www.ruby-lang.org) interpreter in Java. The Java version is tightly integrated with Java to allow both to script any Java class and to embed the interpreter into any Java application. See the docs directory for more information.
C and JRuby belong to "Languages" category of the tech stack.
"Performance" is the top reason why over 52 developers like C, while over 7 developers mention "Java" as the leading cause for choosing JRuby.
JRuby is an open source tool with 3.32K GitHub stars and 830 GitHub forks. Here's a link to JRuby's open source repository on GitHub.
AdRoll, Twitch, and Redis Labs are some of the popular companies that use C, whereas JRuby is used by Groupon, Soundcloud, and Lookout. C has a broader approval, being mentioned in 64 company stacks & 251 developers stacks; compared to JRuby, which is listed in 13 company stacks and 4 developer stacks.
What is C?
What is JRuby?
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One important decision for delivering a platform independent solution with low memory footprint and minimal dependencies was the choice of the programming language. We considered a few from Python (there was already a reasonably large Python code base at Thumbtack), to Go (we were taking our first steps with it), and even Rust (too immature at the time).
We ended up writing it in C. It was easy to meet all requirements with only one external dependency for implementing the web server, clearly no challenges running it on any of the Linux distributions we were maintaining, and arguably the implementation with the smallest memory footprint given the choices above.
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We decided to create H3 to combine the benefits of a hexagonal global grid system with a hierarchical indexing system. A global grid system usually requires at least two things: a map projection and a grid laid on top of the map. For map projection, we chose to use gnomonic projections centered on icosahedron faces. This projects from Earth as a sphere to an icosahedron, a twenty-sided platonic solid. The H3 grid is constructed by laying out 122 base cells over the Earth, with ten cells per face. H3 supports sixteen resolutions: https://eng.uber.com/h3/
At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.
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