Top 8 Message Queue (MQ) Software Tools
IBM MQApache KafkaPubSub+ Event BrokerVMware RabbitMQActiveMQAmazon SQSRed Hat AMQAnypoint MQ
The methodology and the way in which the platform has been produced as a standard is most valuable. There are so many different versions of it now, but the actual basic functionality and the simplicity of it have made it far easier to be implemented in so many different instances. When I worked with the OS/2 or PS/2 machine environment, the messaging mechanisms were based upon IBM MQ. It is so versatile, which is the main reason that I'm a fan of it.
The solution is very easy to set up.
The most valuable features are the stream API, consumer groups, and the way that the scaling takes place.
The way we can replicate information and send it to several subscribers is most valuable. It can be used for any kind of business where you've got multiple users who need information. Any company, such as LinkedIn, with a huge number of subscribers and any business, such as publishing, supermarket, airline, or shipping can use it.
It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture.
Some of the most valuable features are publish and subscribe, fanout, and queues.
I'm impressed, I think that Active MQ is great.
It’s a JMS broker, so the fact that it can allow for asynchronous communication is valuable.
The solution is easy to scale and cost-effective.
The most valuable feature for us is the operator-based automation that is provided by Streams for infrastructure as well as user and topic management. This saves a lot of time and effort on our part to provide infrastructure. For example, the deployment of infrastructure is reduced from approximately a week to a day.
Good interface, simple to use and stable.
Message Queue Software Features
The features of message queuing software include:
Asynchronous Messaging - Programs are time-independent, meaning they can make a request and then continue with other work while waiting for a response. Messages will remain in the queue until they are processed and then removed. The target application can retrieve a message whenever it starts up - it does not have to be running when a message is sent.
Programs are not directly connected. Instead, one program puts a message on a queue and the other retrieves the message from the queue.
Small, self-contained programs can divide up the job instead of being performed entirely and sequentially by a single large program. A message gets sent to each program, requesting it to perform its function and then the results are sent back as messages.
Unlimited queues that can handle as many messages as necessary.
Real-time message processing so that requests get handled as soon as possible .
Push and pull queues - The pull feature looks for new messages while the push feature notifies the user when a message is available. Push is also called “publish/subscribe” or “pub/sub” messaging.
First in, first out (FIFO) - Messages are processed in the order in which they come in.
Message priority - Programs can assign a priority to each message, determining its position in the queue.
Message-driven processing - Apps can be triggered when a message arrives and stopped when a message has been processed.
Event-driven processing - You can control the programs according to the state of the queue. E.g. you can set the program to start as soon as one message arrives on the queue, or once 10 messages have arrived on the queue, or once a certain number of messages above a particular priority have arrived.
One-time delivery so there are no duplicate requests which might lead to confusion. It also means the network won’t be slowed down by unnecessary requests.
Automatic failover - There are multiple cloud systems so if one network fails, another can pick up the slack, avoiding delays.
Message queue as a service (on a cloud server versus on your on-site network).
High network availability so that messages can be processed as quickly as possible and to reduce the likelihood of outages, which improves efficiency and keeps customers happy.
Scalability - Cloud-hosted message queues allow you to access more processing power whenever you need it.
Security, which includes passwords, authentication tokens, and simple authentication and security layers (SASLs).
Serverless - With no server to manage, your IT team can focus on other tasks.
Recovery support in case of lost messages.
Message Queue Software Benefits
The benefits of message queue software include:
1. Improved performance. Message queues enable asynchronous communication between and within apps. This means the endpoints that produce and consume messages interact with the queue and not with each other. Producers can add requests to the queue without having to wait for them to be processed, and consumers only process messages when they are available. In this way, neither component in the system has to wait for the other, which optimizes data flow.
2. More reliable. Queuing your data makes it persistent and reduces the risk of errors happening when parts of your system go offline. Separating different components into message queues creates fault tolerance. In addition, any time one part of the system is unreachable, the other part can continue interacting with the queue. The queue can also be mirrored, allowing for even more availability.
3. Granular scalability. Producers and consumers as well as the actual queue can be scaled on demand.
4. Simplified Decoupling. Using a message queue removes dependencies between components and simplifies the coding of decoupled applications. Software components can be designed to perform discrete business functions rather than being weighed down with communications code.