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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.
A message broker (also known as an integration broker or interface engine [1]) is an intermediary computer program module that translates a message from the formal messaging protocol of the sender to the formal messaging protocol of the receiver. Message brokers are elements in telecommunication or computer networks where software applications ...
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; Kudu: a distributed columnar storage engine built for the Apache Hadoop ecosystem
RabbitMQ is an open-source message-broker software (sometimes called message-oriented middleware) that originally implemented the Advanced Message Queuing Protocol (AMQP) and has since been extended with a plug-in architecture to support Streaming Text Oriented Messaging Protocol (STOMP), MQ Telemetry Transport (MQTT), and other protocols.
The broker pattern is an architectural pattern that can be used to structure distributed software systems with decoupled components that interact by remote procedure calls. A broker component is responsible for coordinating communication, such as forwarding requests, as well as transmitting results and exceptions.
The primary disadvantage of many message-oriented middleware systems is that they require an extra component in the architecture, the message transfer agent (message broker). As with any system , adding another component can lead to reductions in performance and reliability, and can also make the system as a whole more difficult and expensive ...
Message queues implement an asynchronous communication pattern between two or more processes/threads whereby the sending and receiving party do not need to interact with the message queue at the same time. Messages placed onto the queue are stored until the recipient retrieves them.
Ensuring the message as sent by the application is immutable allows for end-to-end message signing and/or encryption and ensures that any integrity checks (e.g. hashes or digests) remain valid. The message can be annotated by intermediaries during transit, but any such annotations are kept distinct from the immutable bare message. Annotations ...