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Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
Apache Samza is an open-source, near-realtime, asynchronous computational framework for stream processing developed by the Apache Software Foundation in Scala and Java. It has been developed in conjunction with Apache Kafka. Both were originally developed by LinkedIn. [2]
Spring Framework 4.2.0 was released on 31 July 2015 and was immediately upgraded to version 4.2.1, which was released on 01 Sept 2015. [14] It is "compatible with Java 6, 7 and 8, with a focus on core refinements and modern web capabilities". [15] Spring Framework 4.3 has been released on 10 June 2016 and was supported until 2020. [16]
Spring Boot is a convention-over-configuration extension for the Spring Java platform intended to help minimize configuration concerns while creating Spring-based applications. [ 4 ] [ 5 ] The application can still be adjusted for specific needs, but the initial Spring Boot project provides a preconfigured "opinionated view" of the best ...
Reactive Streams were proposed to become part of Java 9 by Doug Lea, leader of JSR 166 [8] as a new Flow class [9] that would include the interfaces currently provided by Reactive Streams. [5] [10] After a successful 1.0 release of Reactive Streams and growing adoption, the proposal was accepted and Reactive Streams was included in JDK9 via the ...
Juneau: A toolkit for marshalling POJOs to a wide variety of content types using a common framework; Kafka: a message broker software; Karaf: an OSGi distribution for server-side applications. Kibble: a suite of tools for collecting, aggregating and visualizing activity in software projects. Knox: a REST API Gateway for Hadoop Services
Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala. [3] [4] Flink executes arbitrary dataflow programs in a data-parallel and pipelined (hence task parallel) manner. [5]
It is a lightweight [clarify] framework that builds upon the core Spring framework. It is designed to enable the development of integration solutions typical of event-driven architectures and messaging-centric architectures [clarify]. [4]: 691–722, §16 Spring Integration is part of the Spring portfolio.