StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Concurrency Frameworks
  5. Akka vs Finagle

Akka vs Finagle

OverviewComparisonAlternatives

Overview

Akka
Akka
Stacks1.2K
Followers1.0K
Votes88
Finagle
Finagle
Stacks69
Followers101
Votes10
GitHub Stars8.9K
Forks1.4K

Akka vs Finagle: What are the differences?

Introduction:

Key Differences between Akka and Finagle:

  1. Concurrency Model: Akka is built on the Actor Model, which allows for easy and efficient handling of concurrent tasks by isolating them within lightweight, independent entities. On the other hand, Finagle uses Futures and Promises for asynchronous and non-blocking operations, providing a more scalable solution for handling I/O operations.

  2. Fault Tolerance: Akka provides built-in fault tolerance features like supervision strategies and self-healing mechanisms, making it suitable for building resilient and fault-tolerant systems. In contrast, Finagle focuses more on enabling developers to implement their own fault tolerance strategies, providing more flexibility but requiring more manual effort.

  3. Protocol Support: Akka primarily focuses on providing a framework for building distributed applications using actors, while Finagle is designed with a more narrow focus on building high-performance RPC services, making it more specialized in handling network communication protocols like Thrift and HTTP.

  4. Community Ecosystem: Akka has a larger and more established community ecosystem with a wide range of plugins, libraries, and tools available to support developers in building complex distributed systems. Finagle, although backed by Twitter, has a smaller community but offers strong support for building microservices and distributed systems within the context of a service-oriented architecture.

  5. Performance Overhead: Akka's Actor Model can introduce some performance overhead due to the additional abstraction layer of actors, which may impact the overall performance of highly concurrent systems. Finagle's emphasis on efficient asynchronous operations and non-blocking I/O can provide better performance in certain use cases, especially when dealing with high-throughput network services.

  6. Programming Paradigm: Akka promotes a more declarative and actor-based programming paradigm, where developers design systems as a collection of interacting actors, while Finagle encourages a more functional programming style with a focus on composing and transforming asynchronous computations using Futures and Promises.

In Summary, Akka and Finagle differ in their concurrency models, fault tolerance approaches, protocol support, community ecosystems, performance overhead, and programming paradigms.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Akka
Akka
Finagle
Finagle

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

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.

Statistics
GitHub Stars
-
GitHub Stars
8.9K
GitHub Forks
-
GitHub Forks
1.4K
Stacks
1.2K
Stacks
69
Followers
1.0K
Followers
101
Votes
88
Votes
10
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
    Typed actors still not stable
  • 1
    Very difficult to refactor
Pros
  • 4
    Fast
  • 3
    HTTP-friendly
  • 3
    Open Source

What are some alternatives to Akka, Finagle?

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.

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.

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.

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.

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.

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase