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Akka

1.1K
1K
+ 1
88
Netty

260
408
+ 1
16
RxJS

2K
625
+ 1
21

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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Pros of Akka
Pros of Netty
Pros of RxJS
  • 32
    Great concurrency model
  • 17
    Fast
  • 12
    Actor Library
  • 10
    Open source
  • 7
    Resilient
  • 5
    Message driven
  • 5
    Scalable
  • 9
    High Performance
  • 4
    Easy to use
  • 3
    Just like it
  • 6
    Easier async data chaining and combining
  • 3
    Steep learning curve, but offers predictable operations
  • 2
    Observable subjects
  • 2
    Ability to build your own stream
  • 2
    Works great with any state management implementation
  • 2
    Easier testing
  • 1
    Lot of build-in operators
  • 1
    Simplifies state management
  • 1
    Great for push based architecture
  • 1
    Documentation

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Cons of Akka
Cons of Netty
Cons of RxJS
  • 3
    Mixing futures with Akka tell is difficult
  • 2
    Closing of futures
  • 2
    No type safety
  • 1
    Very difficult to refactor
  • 1
    Typed actors still not stable
  • 2
    Limited resources to learn from
  • 3
    Steep learning curve

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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 is 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.

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What companies use RxJS?

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What are some alternatives to Akka, Netty, and RxJS?
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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