DataKernel Alternatives, Similar

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DataKernel

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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-d... read more
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All DataKernel Alternatives

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CUBA Platform

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Apache Tomcat

Apache Tomcat is an open source software implementation of the Java Servlet and JavaServer Pages technologies. Apache Tomcat powers numerous...

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Spring

The Spring Framework is an open source application framework and Inversion of Control container for the Java platform.

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Play!

Play is a web application framework, written in Scala and Java, which follows the model–view–controller (MVC) architectural pattern. The Play...

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Jetty

The Jetty Web Server provides a HTTP server and Servlet container capable of serving static and dynamic contend either from...

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GWT (Google Web Toolkit)

GWT is a development toolkit for building and optimizing complex browser-based applications. GWT is used by many products at Google,...

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ActiveInject

ActiveInject is a lightweight and powerful dependency injection library with ultimate performance and no third-party dependencies. It is multi-thread friendly,...

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ActiveJ

ActiveJ is an alternative Java platform built from the ground up as a replacement of Spring, Spark, Quarkus, Micronauts, and...

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DataKernel About

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. More Info »

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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