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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Concurrency Frameworks
  5. Akka vs Netty

Akka vs Netty

OverviewComparisonAlternatives

Overview

Akka
Akka
Stacks1.2K
Followers1.0K
Votes88
Netty
Netty
Stacks264
Followers408
Votes17
GitHub Stars34.6K
Forks16.2K

Akka vs Netty: What are the differences?

Introduction

In this article, we will compare Akka and Netty, two popular frameworks for building highly scalable and efficient network applications. Both Akka and Netty are widely used in the industry, but they have some key differences that set them apart.

  1. Concurrency Model: Akka is based on the actor model, which emphasizes message passing between independent actors. Each actor has its own state and processes messages asynchronously. On the other hand, Netty is built around the event-driven and non-blocking I/O model, where data is processed based on events and callbacks. This allows for efficient use of resources and high concurrency.

  2. Abstraction Level: Akka provides a higher-level abstraction for building distributed and fault-tolerant systems. It includes features like supervision and monitoring of actors, location transparency, and patterns for handling failures. Netty, on the other hand, focuses more on low-level networking components and provides a flexible and customizable framework for building network protocols.

  3. Protocol Support: Netty provides a set of built-in codec libraries that make it easy to handle various network protocols like HTTP, FTP, and WebSocket. It also offers support for advanced features like SSL/TLS encryption and compression. Akka, on the other hand, is more protocol-agnostic and can be used with any network protocol. It provides a generic message-based communication model that can be customized as per the application's requirements.

  4. Scalability and Fault-Tolerance: Akka is designed to provide high scalability and fault-tolerance out of the box. It has built-in features like clustering, sharding, and replication that enable applications to scale horizontally and handle failures. Netty, on the other hand, provides a more lightweight and low-level framework that can be customized for specific scalability and fault-tolerance requirements.

  5. Programming Languages: Akka is primarily written in Scala, but also provides Java and other language APIs. This makes it suitable for both Scala and Java developers. Netty, on the other hand, is written in Java and provides APIs for Java developers. It also has community support for other languages like Kotlin and Scala.

  6. Deployment and Integration: Akka applications can be deployed as standalone processes or integrated with other frameworks like Play Framework and Spring Boot. It also provides support for running on cloud platforms like Amazon AWS and Google Cloud. Netty, on the other hand, can be embedded in existing applications or used as a standalone server. It also integrates well with other frameworks and containers like Tomcat and Jetty.

In summary, Akka and Netty have different focuses and approaches when it comes to building network applications. Akka provides a higher-level and more opinionated framework for building distributed systems, with features like actor-based concurrency and fault-tolerance. Netty, on the other hand, is a lower-level and more customizable framework that focuses on efficient network I/O and protocol support.

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Detailed Comparison

Akka
Akka
Netty
Netty

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

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.

Statistics
GitHub Stars
-
GitHub Stars
34.6K
GitHub Forks
-
GitHub Forks
16.2K
Stacks
1.2K
Stacks
264
Followers
1.0K
Followers
408
Votes
88
Votes
17
Pros & Cons
Pros
  • 32
    Great concurrency model
  • 17
    Fast
  • 12
    Actor Library
  • 10
    Open source
  • 7
    Resilient
Cons
  • 3
    Mixing futures with Akka tell is difficult
  • 2
    Closing of futures
  • 2
    No type safety
  • 1
    Typed actors still not stable
  • 1
    Very difficult to refactor
Pros
  • 9
    High Performance
  • 4
    Easy to use
  • 3
    Just like it
  • 1
    Easy to learn
Cons
  • 2
    Limited resources to learn from

What are some alternatives to Akka, Netty?

Orleans

Orleans

Orleans is a framework that provides a straightforward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns. It was created by Microsoft Research and designed for use in the cloud.

RxJS

RxJS

RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface.

Finagle

Finagle

Finagle is an extensible RPC system for the JVM, used to construct high-concurrency servers. Finagle implements uniform client and server APIs for several protocols, and is designed for high performance and concurrency.

Tokio

Tokio

It is an open source library providing an asynchronous, event driven platform for building fast, reliable, and lightweight network applications. It leverages Rust's ownership and concurrency model to ensure thread safety.

Redux Observable

Redux Observable

It allows developers to dispatch a function that returns an observable, promise or iterable of action(s). Compose and cancel async actions to create side effects and more.

ZIO

ZIO

It is a type-safe composable asynchronous and concurrent programming library for Scala that is based on pure functional programming.

Protoactor

Protoactor

It is a Next generation Actor Model framework. It introduces "Actor Standard Protocol", a predefined contract of base primitives which can be consumed by different language implementations. This is a game changer in the field of actor systems, you are now free to pick and choose languages for your different actor based microservices in a way never seen before.

Conc

Conc

It is your toolbelt for structured concurrency in go, making common tasks easier and safer. It handles panics gracefully and makes concurrent code easier to read.

GPars

GPars

It is an open-source concurrency/parallelism library for Java and Groovy that gives you a number of high-level abstractions to write good logic.

Scramjet

Scramjet

Scramjet is a fast, simple, free and open source functional reactive stream programming framework written on top of node.js streams with multi-threadding support. The code is written by chaining functions that transform data easily with ES7 async/await syntax. It is built upon the logic behind three well known javascript array operations: map, filter and reduce. Scramjet transforms are so standard and natural that we're sure you can start writing your code straight away.

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