Akka

681
657
+ 1
72
Netty

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+ 1
13
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Akka vs Netty: What are the differences?

Developers describe Akka as "Build powerful concurrent & distributed applications more easily". Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. On the other hand, Netty is detailed as "Asynchronous event-driven network application framework". Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server.

Akka and Netty can be primarily classified as "Concurrency Frameworks" tools.

"Great concurrency model" is the top reason why over 22 developers like Akka, while over 2 developers mention "High Performance" as the leading cause for choosing Netty.

Akka and Netty are both open source tools. It seems that Netty with 19.9K GitHub stars and 9.05K forks on GitHub has more adoption than Akka with 10.1K GitHub stars and 3.04K GitHub forks.

Asana, Rainist, and ContentSquare are some of the popular companies that use Akka, whereas Netty is used by Outbrain, Appian, and Rapido. Akka has a broader approval, being mentioned in 76 company stacks & 57 developers stacks; compared to Netty, which is listed in 11 company stacks and 14 developer stacks.

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    What is Akka?

    Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

    What is Netty?

    Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server.
    What companies use Akka?
    What companies use Netty?

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    What tools integrate with Akka?
    What tools integrate with Netty?
    What are some alternatives to Akka and Netty?
    Spring
    A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
    Scala
    Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
    Erlang
    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.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    Spring Boot
    Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
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