Erlang vs Java: What are the differences?
Developers describe Erlang as "A programming language used to build massively scalable soft real-time systems with requirements on high availability". Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems. On the other hand, Java is detailed as "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!.
Erlang and Java can be primarily classified as "Languages" tools.
"Real time, distributed applications" is the top reason why over 49 developers like Erlang, while over 526 developers mention "Great libraries" as the leading cause for choosing Java.
Erlang is an open source tool with 7.7K GitHub stars and 2.09K GitHub forks. Here's a link to Erlang's open source repository on GitHub.
Airbnb, Uber Technologies, and Spotify are some of the popular companies that use Java, whereas Erlang is used by WhatsApp, AdRoll, and Grooveshark. Java has a broader approval, being mentioned in 2378 company stacks & 2633 developers stacks; compared to Erlang, which is listed in 70 company stacks and 45 developer stacks.
What is Erlang?
What is Java?
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How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:
Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.
Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:
Why Uber developed H3, our open source grid system to make geospatial data visualization and exploration easier and more efficient:
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/
Maybe not in everybody focus but I do like programming for @z/OS, @z/Linux and @z/VM with C++ , Java and Assembler . Who else love to dig into control blocks and get a deep dive into system resources to run things in a high valuable way ? And also go all the way up to the application to enlight all the infrastructure features to it ?
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 Visual Studio Code because at this time is a mature software and I can do practically everything using it.
It's free and open source: The project is hosted on GitHub and it’s free to download, fork, modify and contribute to the project.
Multi-platform: You can download binaries for different platforms, included Windows (x64), MacOS and Linux (
LightWeight: It runs smoothly in different devices. It has an average memory and CPU usage. Starts almost immediately and it’s very stable.
.properties, XML and JSON files.
Integrated tools: Includes an integrated terminal, debugger, problem list and console output inspector. The project navigator sidebar is simple and powerful: you can manage your files and folders with ease. The command palette helps you find commands by text. The search widget has a powerful auto-complete feature to search and find your files.
Extensible and configurable: There are many extensions available for every language supported, including syntax highlighters, IntelliSense and code completion, and debuggers. There are also extension to manage application configuration and architecture like Docker and Jenkins.
Integrated with Git: You can visually manage your project repositories, pull, commit and push your changes, and easy conflict resolution.( there is support for SVN (Subversion) users by plugin)
Another major decision was to adopt Elixir and Phoenix Framework - the DX (Developer eXperience) is pretty similar to what we know from RoR, but this tech is running on the top of rock-solid Erlang platform which is powering planet-scale telecom solutions for 20+ years. So we're getting pretty much the best from both worlds: minimum friction & smart conventions that eliminate the excessive boilerplate AND highly concurrent EVM (Erlang's Virtual Machine) that makes all the scalability problems vanish. The transition was very smooth - none of Ruby developers we had decided to leave because of Elixir. What is more, we kept recruiting Ruby developers w/o any requirement regarding Elixir proficiency & we still were able to educate them internally in almost no time. Obviously Elixir comes with some more tools in the stack: Credo , Hex , AppSignal (required to properly monitor BEAM apps).
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 through various channels. We decided to go with Microservices architecture as we wanted scale. Microservice architecture style is an approach to developing an application as a suite of small independently deployable services built around specific business capabilities. You can gain modularity, extensive parallelism and cost-effective scaling by deploying services across many distributed servers. Microservices modularity facilitates independent updates/deployments, and helps to avoid single point of failure, which can help prevent large-scale outages. We also decided to use Event Driven Architecture pattern which is a popular distributed asynchronous architecture pattern used to produce highly scalable applications. The event-driven architecture is made up of highly decoupled, single-purpose event processing components that asynchronously receive and process events.
To build our #Backend capabilities we decided to use the following: 1. #Microservices - Java with Spring Boot , Node.js with ExpressJS and Python with Flask 2. #Eventsourcingframework - Amazon Kinesis , Amazon Kinesis Firehose , Amazon SNS , Amazon SQS, AWS Lambda 3. #Data - Amazon RDS , Amazon DynamoDB , Amazon S3 , MongoDB Atlas
To build #Webapps we decided to use Angular 2 with RxJS
#Devops - GitHub , Travis CI , Terraform , Docker , Serverless
I use C# because of the ease of designing user interfaces compared to Java. Using Visual Studio makes C# a breeze for prototyping and creating apps and I really appreciate how quickly I can turn an idea into reality. I was first introduced to C# in a special topics course and quickly started preferring it over Java. The similarities between the two made the switch easy while the added benefits C# offers made it very worth it.
Pretty much everything - Java is reasonably fast, reasonably safe, and reasonably expressive. I wouldn't call it the best at any of those things. The real advantage to me is that the virtual machine is ubiquitous and many people can understand it. Since I have the most experience in this language, it's my tool of choice for most projects.
I've also been learning JavaFx so that I can build user interfaces without the web. I've started several single-page-application projects that worked, but felt like workarounds or hacks and would be better-served as self-contained applications.
Do I really need to explain? Well to me, the most appealing factor in Java besides the unbelievable community and vast array of available libraries, is just the amount of effort that has been put in the modern JVM. Decades of optimization and improvements have lead to a terrific piece of technology. I admire the people contributed to that.
Shouldn't surprise anyone, as minecraft is also java-based. Java is used for much more than just the plugins though. JCVortex (our API) is also served with vert.x (Java) and many of our team-internal tools also originated from java or are still java-applications.
The most popular language in the world, definitely every programmer would use the Java language at some point. Frankly, I only use java when it’s a must. I find the language to be a little bit tedious when working with it.
bytelore.com makes extensive use of Java in its applications. We use Java due to its performance, community and the number of other projects built in the language. We have many projects and libraries built in Java.