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

Akka vs Orleans

OverviewComparisonAlternatives

Overview

Akka
Akka
Stacks1.2K
Followers1.0K
Votes88
Orleans
Orleans
Stacks61
Followers126
Votes53
GitHub Stars10.6K
Forks2.1K

Akka vs Orleans: What are the differences?

Introduction: Akka and Orleans are two popular frameworks used for building distributed applications. While both frameworks provide similar functionality, there are key differences between Akka and Orleans that developers should consider when choosing a framework for their application.

  1. Programming Model: Akka follows an actor-based programming model, where actors are lightweight concurrent entities that process messages asynchronously. Orleans, on the other hand, uses the concept of virtual actors, which are similar to actors but provide transparent and automatic scaling and distribution of the actor instances.

  2. Language Support: Akka is primarily built for the Java and Scala programming languages, although there are also unofficial ports for other languages. Orleans, on the other hand, is built specifically for the .NET platform, with support for languages such as C# and F#.

  3. Fault Tolerance: Akka provides a hierarchical supervision model that allows for the monitoring and recovery of actors in case of failures. This model provides fine-grained control over fault tolerance strategies. Orleans, on the other hand, provides a more simplified fault-tolerance model, where the runtime system handles fault detection and recovery transparently.

  4. Dynamic Reconfiguration: Akka supports dynamic reconfiguration of actors, where actors can be added, removed, or modified during runtime without requiring a system restart. Orleans also supports dynamic reconfiguration, allowing for the addition or removal of actor instances without downtime.

  5. Data Persistence: Akka provides built-in support for event sourcing and persistence, allowing actors to store and recover their internal state. Orleans, on the other hand, does not provide built-in support for data persistence, although it can be integrated with external data storage systems.

  6. Community and Ecosystem: Akka has a larger and more established community with a wide range of libraries and tools available. It has been used in production by many companies and has a strong ecosystem. Orleans, while growing in popularity, has a smaller community and ecosystem compared to Akka.

In summary, the key differences between Akka and Orleans lie in their programming model, language support, fault tolerance strategies, dynamic reconfiguration capabilities, data persistence support, and the size and maturity of their respective communities and ecosystems.

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Detailed Comparison

Akka
Akka
Orleans
Orleans

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

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.

-
Cross-platform; Scalable distributed applications
Statistics
GitHub Stars
-
GitHub Stars
10.6K
GitHub Forks
-
GitHub Forks
2.1K
Stacks
1.2K
Stacks
61
Followers
1.0K
Followers
126
Votes
88
Votes
53
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
    Very difficult to refactor
  • 1
    Typed actors still not stable
Pros
  • 6
    Async/Await
  • 6
    Akka.net alternative
  • 5
    Open source
  • 5
    Virtual Actor Model
  • 5
    Scalable
Integrations
No integrations available
.NET
.NET

What are some alternatives to Akka, Orleans?

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.

Netty

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.

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.

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