DataKernel

    Lightweight asynchronous framework for efficient and scalable web, network and big data solutions. Has its own lightning-fast I/O core and DI.

    • Free • Open Source
    • Mac
    • Windows
    • Linux
    ...
    DataKernel info, screenshots & reviewsAlternatives to DataKernel
    Java components for building extremely fast and scalable applications with asynchronous I/O.

    DataKernel is a full-featured alternative web and big data Java framework. It doesn't use Netty, Jetty, Spring/Guice DI, RxJava etc. Instead, it features a full application stack: Event Loop, Promises, HTTP, DI and others, including decentralized big-data technologies and map-reduce algorithms. The efficiency is proven by numerous benchmarks and real-life diverse high-load applications.

    DataKernel has everything you need to create applications of different scales - from stand-alone high-performance async network solutions and HTTP web applications to big-data cloud solutions and decentralized internet-wide applications. A set of predefined launchers and classes for typical use cases allows you to develop apps extremely fast.

    The framework consists of modules which can be conceptually split into three groups: Core, Cloud and Global. Core components form the basis of the framework and also include the most commonly-used components: DI, HTTP, Eventloop, Promise, and others. Cloud components allow to create decentralized cloud solutions, while Global components extend them and make ultimately scalable.
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    DataKernel

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    • Open Source and Free product.
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    DataKernel was added to AlternativeTo by lerali on Oct 21, 2019 and this page was last updated Oct 21, 2019.

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    Category

    Development

    Tags

    • web-application-framework
    • big-data
    • java-framework
    • Web Development
    DataKernel

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