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

Netty vs Protoactor

OverviewComparisonAlternatives

Overview

Netty
Netty
Stacks264
Followers408
Votes17
GitHub Stars34.6K
Forks16.2K
Protoactor
Protoactor
Stacks8
Followers9
Votes0

Netty vs Protoactor: What are the differences?

Introduction:

Netty and Protoactor are both popular frameworks used for building distributed systems, with each offering its unique set of features and capabilities. Understanding the key differences between the two can help in making an informed decision when choosing a framework for a specific project.

1. Concurrency Model: Netty follows an event-driven, non-blocking I/O model where multiple threads can handle multiple connections concurrently, making it highly scalable for handling a large number of clients. In contrast, Protoactor uses the actor model, where messages are exchanged between lightweight, independent actors, providing a simpler and more structured approach to concurrency.

2. Language Support: Netty is primarily built for Java, although there are versions available for other languages like Scala and Clojure. Protoactor, on the other hand, supports multiple languages out of the box, including C#, Go, and TypeScript, making it more versatile for developers working in different tech stacks.

3. Communication Protocol: Netty is a networking framework that focuses on providing low-level networking components for building custom protocols, making it more suitable for developers who need fine-grained control over network communication. Protoactor, on the other hand, abstracts away the networking layer and provides a high-level actor-based communication protocol, simplifying the development of distributed systems.

4. Error Handling: Netty has a more traditional error handling approach where exceptions are thrown and caught explicitly by the developer, providing full control over error management within the application. In contrast, Protoactor adopts a more actor-centric error handling mechanism, where errors are propagated through the actor hierarchy, making it easier to isolate and handle failures in a distributed system.

5. Performance: Netty is known for its high-performance, low-latency networking capabilities, making it a popular choice for building high-throughput applications like web servers and proxies. Protoactor, while offering good performance, may introduce some overhead due to the actor messaging abstraction, which can impact latency in certain use cases.

6. Community Support: Netty has a large and active community of users and contributors, providing extensive documentation, tutorials, and support resources for developers. On the other hand, Protoactor, being a newer framework, has a smaller community, which may limit the availability of resources and community-driven extensions/plugins compared to Netty.

In Summary, understanding the key differences between Netty and Protoactor in terms of concurrency model, language support, communication protocol, error handling, performance, and community support can help in selecting the appropriate framework for building distributed systems.

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Detailed Comparison

Netty
Netty
Protoactor
Protoactor

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.

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.

-
Simple Concurrency & Distribution; Extreme Performance; Resilient by Design; Built on standards
Statistics
GitHub Stars
34.6K
GitHub Stars
-
GitHub Forks
16.2K
GitHub Forks
-
Stacks
264
Stacks
8
Followers
408
Followers
9
Votes
17
Votes
0
Pros & Cons
Pros
  • 9
    High Performance
  • 4
    Easy to use
  • 3
    Just like it
  • 1
    Easy to learn
Cons
  • 2
    Limited resources to learn from
No community feedback yet
Integrations
No integrations available
.NET
.NET
Golang
Golang
Java
Java
Kotlin
Kotlin

What are some alternatives to Netty, Protoactor?

Akka

Akka

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

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.

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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