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Akka
ByAkkaAkka

Akka

#51in Frameworks
Discussions6
Followers1.03k
OverviewDiscussions6AdoptionAlternativesIntegrations
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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.

Akka is a tool in the Frameworks category of a tech stack.

Akka Pros & Cons

Pros of Akka

  • ✓Great concurrency model
  • ✓Fast
  • ✓Actor Library
  • ✓Open source
  • ✓Resilient
  • ✓Message driven
  • ✓Scalable

Cons of Akka

  • ✗Mixing futures with Akka tell is difficult
  • ✗Closing of futures
  • ✗No type safety
  • ✗Typed actors still not stable
  • ✗Very difficult to refactor

Akka Alternatives & Comparisons

What are some alternatives to Akka?

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.

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.

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.

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.

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Akka Integrations

Cloudflow, Sematext, AnyChart are some of the popular tools that integrate with Akka. Here's a list of all 3 tools that integrate with Akka.

Cloudflow
Cloudflow
Sematext
Sematext
AnyChart
AnyChart

Akka Discussions

Discover why developers choose Akka. Read real-world technical decisions and stack choices from the StackShare community.

Ivan Nikolov
Ivan Nikolov

Jun 5, 2019

Needs adviceonAkkaAkka

We use Akka because it enables us to implement complex reactive applications. It has great documentation and is easy to work with, especially if you use the Scala programming language.

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Lawrence Hecht
Lawrence Hecht

May 15, 2019

Needs adviceonAkkaAkkaKafkaKafka

I decided to use Akka instead of Kafka streams because I have personal relationships at @Lightbend.

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David Klotz
David Klotz

Software Engineer at fileee GmbH

Feb 5, 2018

Needs adviceonAkkaAkka

Akka powers our asynchronous document upload processor, handling e.g. tasks for OCR, thumbnail generation and document analysis. Akka

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papaver
papaver

captain of a starship

Jan 31, 2017

Needs adviceonAkkaAkka

we used akka as our concurrency system at talenthouse. had the chance to write several worker. we used both akka messaging and rabbitmq to communicate. quite a slick system, was fun writing it in scala. Akka

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StackShare Editors
StackShare Editors

Sep 3, 2016

Distributed Task Scheduling with Akka, Kafka, Cassandra

Needs adviceonKafkaKafkaScalaScalaCassandraCassandra

To solve the problem of scheduling and executing arbitrary tasks in its distributed infrastructure, PagerDuty created an open-source tool called Scheduler. Scheduler is written in Scala and uses Cassandra for task persistence. It also adds Apache Kafka to handle task queuing and partitioning, with Akka to structure the library’s concurrency.

The service’s logic schedules a task by passing it to the Scheduler’s Scala API, which serializes the task metadata and enqueues it into Kafka. Scheduler then consumes the tasks, and posts them to Cassandra to prevent data loss.

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