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Akka

984
978
+ 1
88
Project Reactor

152
78
+ 1
0
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Akka vs Project Reactor: What are the differences?

Developers describe Akka as "Build powerful concurrent & distributed applications more easily". Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. On the other hand, Project Reactor is detailed as "Library for building non-blocking applications on 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.

Akka and Project Reactor are primarily classified as "Concurrency Frameworks" and "Java" tools respectively.

Akka is an open source tool with 10.2K GitHub stars and 3.07K GitHub forks. Here's a link to Akka's open source repository on GitHub.

According to the StackShare community, Akka has a broader approval, being mentioned in 102 company stacks & 301 developers stacks; compared to Project Reactor, which is listed in 4 company stacks and 4 developer stacks.

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Pros of Akka
Pros of Project Reactor
  • 32
    Great concurrency model
  • 17
    Fast
  • 12
    Actor Library
  • 10
    Open source
  • 7
    Resilient
  • 5
    Message driven
  • 5
    Scalable
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    Cons of Akka
    Cons of Project Reactor
    • 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
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      What companies use Akka?
      What companies use Project Reactor?
      See which teams inside your own company are using Akka or Project Reactor.
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      What tools integrate with Akka?
      What tools integrate with Project Reactor?
      What are some alternatives to Akka and Project Reactor?
      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.
      See all alternatives