

Find out what your peers are saying about IBM, Apache, Amazon Web Services (AWS) and others in Message Queue (MQ) Software.
I have seen a return on investment with money saved and time saved because the protocol is MQTT.
I have seen a return on investment by lowering the resource cost by half.
We reduced the database read load by around 30 to 40 percent and improved API response time by 20 to 30 percent, specifically for frequently accessed endpoints.
We have seen a positive return on investment from using Redis, mainly through improved application performance, reduced database load, and lower operational overhead.
The documentation is exceptional and so developer-friendly that customer support is not needed.
We get prompt responses from them.
I have not used customer support for EMQX because I can understand it on my own by watching tutorials on YouTube, even if they are not from the official EMQX customer service, so I am satisfied with self-learning.
By simply referring to their documentation, we have been able to fix our bugs and general issues.
Since Redis is quite stable and well-documented, we have not needed much support, but when required, the response has been helpful.
EMQX has handled growth from thousands of devices to millions of devices.
EMQX's scalability is perfect.
When performance is high, we only need to add a node replica.
The in-memory architecture provides consistently low-latency access even as data access patterns and request volume increase.
Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.
With features such as clustering and replication, it can handle high traffic and a large database very effectively.
It is a production-grade tool that has been tested and is used in production by many organizations.
Redis has consistently provided fast and predictable performance, particularly for caching and high-frequency data access scenarios.
Redis is fairly stable.
A centralized dashboard where we can add multiple clusters in a single place would be easier to monitor.
I think EMQX needs to improve its logs. When I encounter a problem with EMQX error messages, it is very difficult to trace the logs and find the real reason for the error to fix it.
If there were an option to utilize serverless without that TLS and SSL overhead, the embedded system would not experience the overhead burden.
Making security features and enterprise governance capabilities easier to configure out of the box would help organizations adopt Redis more confidently for larger and more critical workloads.
Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.
Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use.
We do not need to pay for what we are not using.
AWS costing for the product that is maintained is quite high.
EMQX is open-source and MQTT is also an open-source protocol, so the cost is less.
The main value comes from the performance improvements, reduced database load, and increased scalability that Redis provides.
Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.
The pricing is reasonable for the performance provided.
The pub/sub functionality and how publishers and subscribers interact with each other without disrupting the connection between devices and applications is outstanding.
After using EMQX, we can now handle a large amount of data within a fraction of seconds, which makes it very easy for us to pass the data and store it in our database, and we can easily visualize it in our UI.
EMQX allowed us to scale our product very easily, enabling us to add multiple nodes as needed and perform regional deployments such as a standby EMQX cluster.
It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.
By offloading frequent reads from the database and enabling fast in-memory cache access, it reduced latency, improved throughput, and helped maintain stability during peak loads.
The most valuable features include high-speed in-memory data access, flexible data structures, caching capabilities, data expiration and time-to-live management, high availability and scalability, and atomic operations.

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 6 |
| Large Enterprise | 10 |
EMQX is a scalable open-source MQTT broker designed to connect millions of IoT devices reliably. It is known for its high availability and robust performance, making it a go-to choice for enterprises seeking efficient data transmission across IoT ecosystems.
EMQX offers advanced features supporting complex IoT use cases and ensures seamless data flow with low latency. It supports a wide range of protocols and is suitable for industrial IoT, smart homes, and automotive sectors. Developers favor EMQX for its real-time analytics capabilities and flexible architecture that allows integration with diverse back-end systems. It enhances operational efficiencies by providing comprehensive monitoring and management capabilities.
What are the key features of EMQX?EMQX contributes significantly in industries like transportation, where it facilitates real-time data exchange between connected vehicles. In manufacturing, it enhances monitoring and control of production lines, leading to increased productivity and reduced downtime. Smart city solutions leverage EMQX for efficient public service management, making it a versatile choice in diverse settings.
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.
What are the key features of Redis?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.
We monitor all Message Queue (MQ) Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.