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Akka vs Highland.js: What are the differences?

Introduction

When comparing Akka and Highland.js, it is important to understand key differences between these two frameworks commonly used for building scalable and reactive applications.

  1. Concurrency Model: one of the main differences between Akka and Highland.js is in their approach to concurrency. Akka is based on the Actor Model, where each actor is an independent entity that communicates asynchronously via message passing. On the other hand, Highland.js is a library that provides utilities for managing asynchronous operations in a more functional programming style, without relying on actors.

  2. Language Compatibility: Akka is primarily designed for use with the JVM languages like Java and Scala, making it a more suitable choice for projects that are based on these languages. In contrast, Highland.js is a JavaScript library, making it more compatible with Node.js applications and other JavaScript-based environments.

  3. Fault Tolerance: Akka provides built-in support for supervisor hierarchies, allowing for the automatic restart of failed actors and the isolation of failures. This makes it a popular choice for building fault-tolerant systems. Highland.js, on the other hand, does not have built-in mechanisms for handling faults and failures, requiring developers to implement their own error handling strategies.

  4. Stream Processing: Highland.js is specifically designed for stream processing, providing a set of high-level abstractions for working with streams of data in a functional style. In comparison, Akka also supports stream processing through the Akka Streams module but is more focused on actor-based concurrency.

  5. Community and Ecosystem: Akka has a larger and more established community, with extensive documentation, support, and a wide range of plugins and integrations available. Highland.js, being a JavaScript library, benefits from the vibrant Node.js ecosystem but may have a more limited community compared to Akka.

  6. Performance Considerations: Akka is optimized for high-performance and scalability, leveraging the actor model and reactive programming principles. Highland.js, while efficient in handling asynchronous operations, may not offer the same level of performance optimizations as Akka in certain contexts.

In Summary, Akka and Highland.js differ in their concurrency model, language compatibility, fault tolerance mechanisms, focus on stream processing, community support, and performance considerations.

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Pros of Akka
Pros of Highland.js
  • 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 Highland.js
    • 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 is Akka?

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

      What is Highland.js?

      It manages synchronous and asynchronous code easily, using nothing more than standard JavaScript and Node-like Streams. You may be familiar with Promises, EventEmitters and callbacks, but moving between them is far from seamless.

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      What companies use Akka?
      What companies use Highland.js?
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        What tools integrate with Akka?
        What tools integrate with Highland.js?

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        What are some alternatives to Akka and Highland.js?
        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