IBM MQ vs Redis comparison

IBM MQ is a middleware product used to send or exchange messages across multiple platforms, including applications, systems, files, and services via MQs (messaging queues). This solution helps simplify the creation of business applications, and also makes them easier to maintain. IBM MQ is security-rich, has high performance, and provides a universal messaging backbone with robust connectivity. In addition, it also integrates easily with existing IT assets by using an SOA (service oriented architecture).

IBM MQ can be deployed:


• On-premises
• In the cloud
• Hybrid cloud

IBM MQ supports the following APIs:


• MQI (Message Queue Interface)
• REST
• .NET
• MQTT
• JMS
• IBM MQ Light


IBM MQ Features


Some of the most powerful IBM MQ features include:


• High availability
• Stability and scalability
• Flexible deployment options
• Uniform clusters
• Automated and intelligent workload balancing
• Broad language, API, and messaging protocol support
• Administrative features that simplify messaging management
• Open standards development tools
• Simple management tools
  

IBM MQ Benefits


Some of the benefits of using IBM MQ include:


• Multi-style messaging: IBM MQ supports simple multi-style messaging, making it easy to connect diverse systems with support for message queuing, transactions, and more.
  
  
• Reduced risk: With IBM MQ you will never lose a message, and messages are never delivered more than once.
  
  
• Cloud-native: Because IBM MQ has a minimal infrastructure, it is suitable to be cloud-native, and therefore has the capability to always remain on.
  
  
• Available anywhere: Using IBM MQ, you have access to secure messaging anywhere, at any time.
  
  
• Secure: IBM MQ makes sure to keep your data safe by using TLS secured communications, providing access identity management, message-level security, and more measures to protect your information.
  
  
• Easy for application programmers: To use IBM MQ, application programmers do not need to have any knowledge of communications programming.
  
  
• Technical support: IBM MQ has a large user community and also provides support 24/7 as needed.
  

Reviews from Real Users

Below are some reviews and helpful feedback written by IBM MQ users who are currently using the solution.


PeerSpot user Sunil S., a manager at a financial services firm, explains that they never lose messages are never lost in transit, mentioning that he can store messages and forward them as required: "Whenever payments are happening, such as incoming payments to the bank, we need to notify the customer. With MQ we can actually do that asynchronously. We don't want to notify the customer for each and every payment but, rather, more like once a day. That kind of thing can be enabled with the help of MQ."

Another PeerSpot reviewer, Luis L. who is a solutions director at Thesys Technologies, says that IBM MQ is a valuable solution and is "A stable and reliable software that offers good integration between different systems."

The head of operations at a financial services firm notes that "I have found the solution to be very robust. It has a strong reputation, is easy to use, simple to configure in our enterprise software, and supports all the protocols that we use."

In addition, a Software Engineer at a financial services firm praises the security benefits of it and states that “it has the most security features I've seen in a communication solution. Security is the most important thing for our purposes."

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

• High Speed: In-memory data storage for swift access.
• Scalability: Master-slave replication and clustering for growth.
• Data Structures: Supports diverse types for varied uses.
• Persistence: RDB snapshots and AOF logs ensure durability.
• Integration: Seamless integration reduces tuning efforts.

• Performance: Real-time data retrieval boosts efficiency.
• Cost-Effectiveness: Stable, budget-friendly implementation.
• Versatility: Suitable for diverse environments and platforms.
• Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.