Messaging is an important part of Middleware platforms. It is in fact an essential part for integrating and distributing data amongst source and target systems. With the rise of application and data integration patterns, message brokers became an important part in handling and transferring data in a solid and secure matter, in the most optimal way with a minimum of loss of data during transfer.

Traditional ways of messaging and message brokers can be divided into several parts:

Less intelligent

JMS – Java Messaging

JMS offers a set of APIs for messaging: put a message on a queue and someone else, sometime later, perhaps a far distance from each other, takes the message off the queue and processes it. It is decoupled in time and location of the message provider and consumer. Even if the message consumer happens to be down for a time, messages can be reproduced.

A simple JMS Queue

JMS also has a publish/subscribe capability where the producer puts the message to a “topic”. Any interested parties can subscribe to that topic, receiving messages as and when they are produced, but for now I will focus on the queue capability. There is some decoupling of the relationship between provider and consumer. However, some coupling remains.

There are a few opensource message brokers which use the JMS protocol: Oracle WebLogic and IBM WebSphere MQ, which is a technology that can also be used to transport JMS messages. Furthermore, IBM WebSphere MQ is also a native IBM queueing mechanism. Read the complete article here.

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