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

Akka vs guava

OverviewComparisonAlternatives

Overview

Akka
Akka
Stacks1.2K
Followers1.0K
Votes88
guava
guava
Stacks2.2K
Followers193
Votes6
GitHub Stars51.2K
Forks11.1K

Akka vs guava: 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, guava is detailed as "Google Core Libraries for Java 6+". 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.

Akka belongs to "Concurrency Frameworks" category of the tech stack, while guava can be primarily classified under "Java Tools".

"Great concurrency model" is the primary reason why developers consider Akka over the competitors, whereas "Interface Driven API" was stated as the key factor in picking guava.

Akka and guava are both open source tools. guava with 32.3K GitHub stars and 7.22K forks on GitHub appears to be more popular than Akka with 9.99K GitHub stars and 3.03K GitHub forks.

Asana, Kifi, and ContentSquare are some of the popular companies that use Akka, whereas guava is used by Conceptboard, Zalando, and RELEX Solutions. Akka has a broader approval, being mentioned in 75 company stacks & 54 developers stacks; compared to guava, which is listed in 14 company stacks and 11 developer stacks.

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Detailed Comparison

Akka
Akka
guava
guava

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

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.

Statistics
GitHub Stars
-
GitHub Stars
51.2K
GitHub Forks
-
GitHub Forks
11.1K
Stacks
1.2K
Stacks
2.2K
Followers
1.0K
Followers
193
Votes
88
Votes
6
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
    No type safety
  • 2
    Closing of futures
  • 1
    Very difficult to refactor
  • 1
    Typed actors still not stable
Pros
  • 5
    Interface Driven API
  • 1
    Easy to setup

What are some alternatives to Akka, guava?

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.

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.

RxJava

RxJava

A library for composing asynchronous and event-based programs by using observable sequences for the Java VM.

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