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

Akka vs Netty vs RxJS

OverviewComparisonAlternatives

Overview

Akka
Akka
Stacks1.2K
Followers1.0K
Votes88
RxJS
RxJS
Stacks4.4K
Followers638
Votes21
GitHub Stars19.4K
Forks2.1K
Netty
Netty
Stacks264
Followers408
Votes17
GitHub Stars34.6K
Forks16.2K

Akka vs Netty vs RxJS: What are the differences?

# Introduction

Key differences between Akka, Netty, and RxJS are outlined below in specific details:

1. **Concurrency Model:** Akka provides full support for actor-based concurrency model where everything is an actor, while Netty is a high-performance event-driven asynchronous framework. On the other hand, RxJS is a reactive programming library for handling asynchronous and event-based operations.

2. **Error Handling:** Akka focuses on fault tolerance by providing supervisor hierarchies for actors, enabling the system to recover from failure. Netty employs a channel pipeline for handling events and promises for error handling. RxJS utilizes Observables and Subscribers to manage errors and retries for reactive programming.

3. **Protocol Support:** Netty is known for its extensive protocol support, offering a wide range of codec implementations for various network protocols. In contrast, Akka and RxJS focus more on general concurrency and reactive programming, respectively, rather than specialized protocol support.

4. **Scalability:** Akka is designed for building highly concurrent, distributed, and resilient applications that can scale horizontally. Netty, on the other hand, excels in building high-performance network applications that scale vertically. RxJS is best suited for handling asynchronous data streams in web applications.

5. **Programming Paradigm:** Akka primarily follows the actor-based model inspired by the Actor Model, emphasizing message passing between actors for system communication. Netty follows an event-driven architecture, where events trigger callbacks for handling I/O operations efficiently. RxJS promotes functional and reactive programming paradigms, focusing on composing asynchronous data streams with operators.

6. **Community and Ecosystem:** Akka has a strong community support and a rich ecosystem of libraries and tools for building distributed systems. Netty also has a vibrant community with a focus on networking and high-performance applications. RxJS is widely adopted in the frontend development community for reactive programming in JavaScript applications.

In Summary, the key differences between Akka, Netty, and RxJS lie in their concurrency models, error handling mechanisms, protocol support, scalability options, programming paradigms, and community ecosystems.

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Detailed Comparison

Akka
Akka
RxJS
RxJS
Netty
Netty

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

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.

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
19.4K
GitHub Stars
34.6K
GitHub Forks
-
GitHub Forks
2.1K
GitHub Forks
16.2K
Stacks
1.2K
Stacks
4.4K
Stacks
264
Followers
1.0K
Followers
638
Followers
408
Votes
88
Votes
21
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
    No type safety
  • 2
    Closing of futures
  • 1
    Typed actors still not stable
  • 1
    Very difficult to refactor
Pros
  • 6
    Easier async data chaining and combining
  • 3
    Steep learning curve, but offers predictable operations
  • 2
    Easier testing
  • 2
    Ability to build your own stream
  • 2
    Observable subjects
Cons
  • 3
    Steep learning curve
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, RxJS, 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.

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.

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.

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.

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.

Highland.js

Highland.js

It manages synchronous and asynchronous code easily, using nothing more than standard JavaScript and Node-like Streams. You may be familiar with Promises, EventEmitters and callbacks, but moving between them is far from seamless.

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