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

Akka vs Project Reactor

OverviewComparisonAlternatives

Overview

Akka
Akka
Stacks1.2K
Followers1.0K
Votes88
Project Reactor
Project Reactor
Stacks308
Followers83
Votes0

Akka vs Project Reactor: What are the differences?

Introduction

In this article, we will discuss the key differences between Akka and Project Reactor. Both Akka and Project Reactor are popular frameworks for building reactive systems, but they differ in various aspects ranging from their programming models to their core features.

  1. Concurrency Model: Akka is built on the actor model where concurrency is achieved by arranging actors that communicate via message passing. On the other hand, Project Reactor uses the reactive streams specification which is based on the publisher-subscriber pattern. It leverages non-blocking backpressure to handle flow control, making it suitable for building highly scalable systems.

  2. Language Support: Akka is primarily written in Scala and provides bindings for Java. It leverages the functional programming nature of Scala to provide a highly expressive and concise programming model. Project Reactor, on the other hand, is based on the Reactive Streams specification and provides support for both Java and Kotlin.

  3. Concurrency Control: Akka provides fine-grained control over concurrency with its actor model. Each actor has its own mailbox and processes messages asynchronously, allowing for efficient utilization of system resources. Project Reactor, on the other hand, provides an abstraction called a Flux or Mono, which represents a stream of events. It automatically handles concurrency and parallelism by using reactive operators.

  4. Error Handling: Akka provides supervision strategies that allow for fault-tolerance in a distributed system. In case of an error, supervisors can decide how to handle the failure and resume normal execution. Project Reactor also provides error-handling mechanisms, but it focuses more on providing operators for handling reactive streams, such as retrying, filtering, and transforming events.

  5. Integration with Reactive Libraries: Akka integrates well with other reactive libraries and frameworks such as Akka HTTP and Akka Persistence. It provides a comprehensive ecosystem for building reactive applications. Project Reactor, on the other hand, integrates seamlessly with Spring Framework, which is widely used in Java applications. It benefits from Spring's dependency injection and component model to build reactive systems.

  6. Community and Industry Adoption: Akka has been around for a longer time and has gained significant industry adoption. It has a mature community and a vast ecosystem of plugins and libraries. Project Reactor, although relatively newer, has gained traction due to its integration with Spring Framework and its alignment with the Reactive Streams specification. It has a growing community and is being adopted by many organizations.

In summary, Akka and Project Reactor differ in their concurrency models, language support, concurrency control mechanisms, error handling approaches, integration with other reactive libraries, and community adoption. Each framework has its strengths and weaknesses, offering developers different options when building reactive systems.

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Detailed Comparison

Akka
Akka
Project Reactor
Project Reactor

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

It is a fourth-generation Reactive library for building non-blocking applications on the JVM based on the Reactive Streams Specification. It is a fully non-blocking foundation with efficient demand management. It directly interacts with Java functional API, Completable Future, Stream and Duration.

-
Fully non-blocking and provides efficient demand management. It directly interacts with Java's functional API, CompletableFuture, Stream, and Duration; Efficient Message Passing; Well-suited for a microservices architecture, it offers backpressure-ready network engines for HTTP (including Websockets), TCP, and UDP
Statistics
Stacks
1.2K
Stacks
308
Followers
1.0K
Followers
83
Votes
88
Votes
0
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
No community feedback yet
Integrations
No integrations available
Spring Boot
Spring Boot
Java
Java

What are some alternatives to Akka, Project Reactor?

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

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.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

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.

guava

guava

The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.

Thymeleaf

Thymeleaf

It is a modern server-side Java template engine for both web and standalone environments. It is aimed at creating elegant web code while adding powerful features and retaining prototyping abilities.

JSF

JSF

It is used for building component-based user interfaces for web applications and was formalized as a standard through the Java Community

JavaMelody

JavaMelody

It is used to monitor Java or Java EE application servers in QA and production environments. It is not a tool to simulate requests from users, it is a tool to measure and calculate statistics on real operation of an application depending on the usage of the application by users. It is mainly based on statistics of requests and on evolution charts.

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