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Go vs Java: What are the differences?

Go: An open source programming language that makes it easy to build simple, reliable, and efficient software. Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language; 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!.

Go and Java can be primarily classified as "Languages" tools.

"High-performance", "Simple, minimal syntax" and "Fun to write" are the key factors why developers consider Go; whereas "Great libraries", "Widely used" and "Excellent tooling" are the primary reasons why Java is favored.

Go is an open source tool with 59.6K GitHub stars and 8.25K GitHub forks. Here's a link to Go's open source repository on GitHub.

According to the StackShare community, Java has a broader approval, being mentioned in 2378 company stacks & 2633 developers stacks; compared to Go, which is listed in 892 company stacks and 589 developer stacks.

- No public GitHub repository available -

What is Go?

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

What is Java?

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!
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What are some alternatives to Go and Java?
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Rust
Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
Node.js
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
PHP
Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
See all alternatives
Decisions about Go and Java
StackShare Editors
StackShare Editors
Rails
Rails
Node.js
Node.js
Python
Python
React
React
Java
Java
Ruby
Ruby
Go
Go
Swift
Swift
Objective-C
Objective-C
jQuery
jQuery

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.

See more
Sqreen
Sqreen
Node.js
Node.js
Ruby
Ruby
Python
Python
Java
Java
PHP
PHP
Go
Go
Slack
Slack
PagerDuty
PagerDuty

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.

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Nitzan Shapira
Nitzan Shapira
at Epsagon · | 11 upvotes · 120.1K views
atEpsagonEpsagon
Python
Python
Serverless
Serverless
npm
npm
Node.js
Node.js
Go
Go
Java
Java
GitHub
GitHub
AWS Lambda
AWS Lambda

At Epsagon, we use hundreds of AWS Lambda functions, most of them are written in Python, and the Serverless Framework to pack and deploy them. One of the issues we've encountered is the difficulty to package external libraries into the Lambda environment using the Serverless Framework. This limitation is probably by design since the external code your Lambda needs can be usually included with a package manager.

In order to overcome this issue, we've developed a tool, which we also published as open-source (see link below), which automatically packs these libraries using a simple npm package and a YAML configuration file. Support for Node.js, Go, and Java will be available soon.

The GitHub respoitory: https://github.com/epsagon/serverless-package-external

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Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 16 upvotes · 847.9K views
atUber TechnologiesUber Technologies
Jaeger
Jaeger
Python
Python
Java
Java
Node.js
Node.js
Go
Go
C++
C++
Kubernetes
Kubernetes
JavaScript
JavaScript
OpenShift
OpenShift
C#
C#
Apache Spark
Apache Spark

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:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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C#
C#
Java
Java
Visual Studio
Visual Studio

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.

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Michael Pfaff
Michael Pfaff
CEO at Nucleus Development · | 3 upvotes · 9.6K views
Dart
Dart
Java
Java

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.

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Clojure
Clojure
ClojureScript
ClojureScript
JavaScript
JavaScript
Java
Java
C#
C#

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.
  • Interoperability with JavaScript, Java and C#.
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Ganesa Vijayakumar
Ganesa Vijayakumar
Full Stack Coder | Module Lead · | 15 upvotes · 492.1K views
Codacy
Codacy
SonarQube
SonarQube
React
React
React Router
React Router
React Native
React Native
JavaScript
JavaScript
jQuery
jQuery
jQuery UI
jQuery UI
jQuery Mobile
jQuery Mobile
Bootstrap
Bootstrap
Java
Java
Node.js
Node.js
MySQL
MySQL
Hibernate
Hibernate
Heroku
Heroku
Amazon S3
Amazon S3
Amazon RDS
Amazon RDS
Solr
Solr
Elasticsearch
Elasticsearch
Amazon Route 53
Amazon Route 53
Microsoft Azure
Microsoft Azure
Amazon EC2 Container Service
Amazon EC2 Container Service
Apache Maven
Apache Maven
Git
Git
Docker
Docker

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.

UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

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! :)

Thanks, Ganesa

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Go
Go
Python
Python
PostgreSQL
PostgreSQL
TypeScript
TypeScript
JavaScript
JavaScript
NATS
NATS
Docker
Docker
Git
Git

Go is a high performance language with simple syntax / semantics. Although it is not as expressive as some other languages, it's still a great language for backend development.

Python is expressive and battery-included, and pre-installed in most linux distros, making it a great language for scripting.

PostgreSQL: Rock-solid RDBMS with NoSQL support.

TypeScript saves you from all nonsense semantics of JavaScript , LOL.

NATS: fast message queue and easy to deploy / maintain.

Docker makes deployment painless.

Git essential tool for collaboration and source management.

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Vishwa Bhat
Vishwa Bhat
Fullstack Developer at Sequoia · | 10 upvotes · 4.5K views
atSequoia Consulting GroupSequoia Consulting Group
Node.js
Node.js
Go
Go
Java
Java

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.

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Robert Zuber
Robert Zuber
CTO at CircleCI · | 4 upvotes · 9.7K views
atCircleCICircleCI
CoffeeScript
CoffeeScript
Hubot
Hubot
Go
Go
Slack
Slack

We have added very little to the CoffeeScript Hubot application – just enough to allow it to talk to our Hubot workers. The Hubot workers implement our operational management functionality and expose it to Hubot so we can get chat integration for free. We’ve also tailored the authentication and authorization code of Hubot to meet the needs of roles within our team.

For larger tasks, we’ve got an internal #CLI written in Go that talks to the same #API as Hubot, giving access to the same functionality we have in Slack, with the addition of scripting, piping, and all of our favorite #Unix tools. When the Hubot worker recognizes the CLI is in use, it logs the commands to Slack to maintain visibility of operational changes.

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Praveen Mooli
Praveen Mooli
Technical Leader at Taylor and Francis · | 11 upvotes · 230.6K views
MongoDB Atlas
MongoDB Atlas
Java
Java
Spring Boot
Spring Boot
Node.js
Node.js
ExpressJS
ExpressJS
Python
Python
Flask
Flask
Amazon Kinesis
Amazon Kinesis
Amazon Kinesis Firehose
Amazon Kinesis Firehose
Amazon SNS
Amazon SNS
Amazon SQS
Amazon SQS
AWS Lambda
AWS Lambda
Angular 2
Angular 2
RxJS
RxJS
GitHub
GitHub
Travis CI
Travis CI
Terraform
Terraform
Docker
Docker
Serverless
Serverless
Amazon RDS
Amazon RDS
Amazon DynamoDB
Amazon DynamoDB
Amazon S3
Amazon S3
#Backend
#Microservices
#Eventsourcingframework
#Webapps
#Devops
#Data

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

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John Datserakis
John Datserakis
Go
Go
PHP
PHP
Node.js
Node.js

For the backend of https://www.rsvpkeeper.com I went with Go.

My past few project have been built with Go and I'm really loving it. It was my first statically typed language after many years with PHP and Node.js - and honestly I couldn't be happier to have made the switch.

The biggest thing for me, is that with the forced declaration of types - it's made me feel like I've made a more solid backend. Sometimes with PHP I felt like a stiff breeze could knock the whole thing down. I know that's an exaggeration - but it's kinda how it feels.

Anyways, everyone knows that it almost doesn't even matter what an app is actually made with - what really matters are the design decisions you make a long the way.

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Dan Larsen
Dan Larsen
CTO at FlowStack · | 7 upvotes · 38.2K views
atFlowStack ApSFlowStack ApS
Go
Go
Rust
Rust
C
C
C++
C++

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