Overview
EMQX Cloud: Unified MQTT Data Platform for IoT, AI & Modern Apps
Scale your IoT on AWS, simplify your architecture, and minimize your TCO. EMQX Cloud is a fully managed MQTT data platform that allows you to connect devices, process IoT data in real time, store time-series telemetry, and perform analytics, all within a unified managed service.
Compared to self-managed MQTT clusters or generic cloud IoT services, EMQX Cloud delivers up to 80% lower total cost of ownership. With seamless autoscaling, 40+ pre-built connectors, and an enterprise-grade 99.99% SLA, it supports real-time device connectivity, telemetry ingestion, and instant data processing, powering modern AI, connected vehicles, industrial IoT, and smart energy solutions. Start for free with our monthly Serverless credits, billed directly through your AWS Marketplace account.
Built for AWS, Scaled for the Future
- 24/7 Expert Support with Enterprise SLAs: Offload your MQTT operations to the experts. We offer a 99.99% uptime SLA, ensuring mission-critical resilience, high availability, and proactive resolution for global IoT deployments.
- Built-in IoT Data Storage with EMQX Tables: Stop managing complex "Broker-to-Database" pipelines. Use EMQX Tables (powered by GreptimeDB) to store, query, and analyze MQTT telemetry in-place using standard SQL,no additional infrastructure or "glue code" required.
- Real-Time Processing & SQL Rule Engine: Filter, enrich, and transform your IoT data in-flight. Our high-performance rule engine allows you to process millions of messages per second with sub-millisecond latency before they reach your backend.
Start for Free with Serverless Monthly Quota
Build your Proof of Concept (PoC) or scale your startup with our Serverless Plan. Every month, you receive a generous free quota:
- 1 Million Session Minutes
- 1 GB Data Traffic
- 1 Million Rule Action Executions
Pay-as-you-go pricing applies only once you exceed the free tier. Consolidate your billing and draw down on your existing AWS Commit (EDP) by subscribing through the Marketplace.
Highlights
- 80% Lower Total Cost of Ownership: Achieve enterprise-grade MQTT performance without infrastructure overhead. EMQX Cloud's fully managed, consumption-based pricing model delivers a cost-effective alternative to self-managed EMQX deployments and legacy IoT brokers.
- Proof-of-Concept Support Included: Accelerate your time-to-market with personalized assistance from EMQX Solution Architects. Get support with dedicated architecture reviews, data pipeline design, connector configuration, and technical guidance to ensure your IoT deployment is optimized for global scale, security, and reliability from day one.
- Complete IoT Data Platform on AWS: Go beyond message brokering with a unified, cloud-native platform. EMQX Cloud combines 40+ connectors for AWS services, a high-performance SQL Rule Engine, and EMQX Tables for real-time data processing, time-series storage, and analytics: enabling device connectivity, data transformation, and persistence without external databases.
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Pricing
Dimension | Cost/unit |
|---|---|
Emqx Deployment Consumption Unit | $0.01 |
Deployment Addition Consumption Unit | $0.01 |
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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We provide technical support in multiple ways. 1. You can E-mail to aws-marketplace@emqx.io . 2. You can fill the form to contact us:
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Customer reviews
High‑rate IoT streaming has boosted data capture for real‑time analytics and AI training
What is our primary use case?
We considered EMQX because we initially used the MQTT broker Mosquitto, which does not support the higher sampling rates that our product requires. Our product needs to transmit nearly 16 KB of data per second, which is substantial, but Mosquitto broker cannot support that capacity. We switched to EMQX so that it can open multiple channels to send the data simultaneously to achieve the sampling rate as effectively as possible.
For example, I have an ADC connected to a microcontroller with eight sensors. The ADC takes raw data without any overhead of internet connectivity or HTTP calls, and the raw sampling rate of the ADC is nearly 128 samples per second. When transmitting the data, it suddenly drops to nearly ten samples per second, which represents huge data loss when considering medical, transportation, or any devices used by humans. We signed up for EMQX, and EMQX created simultaneous eight channels, increasing the rate from ten samples per second to nearly 80 samples per second. We initially used the free EMQX offering, which supported nearly 250 users, and then we moved to serverless, which is what we are currently using. Serverless supports nearly 16 channels, so 16 multiplied by 10 means we can achieve nearly 160 samples per second. That is the real-time scenario for which we have used EMQX.
You can use EMQX when you want to get a major amount of data to the internet. When transmitting data via HTTP, there is a minimum delay of 200 milliseconds, which is significant for IoT products. For that reason, we are transitioning to MQTT, which stands for Message Queuing Telemetry Transport. When moving to MQTT, there are many constraints that we faced in free MQTT options such as Mosquitto broker. EMQX will boost your product sampling rate and transmission so that you can achieve a large amount of data without any loss while transmitting through the internet. If you are planning to build an AI product using an IoT device, each data point will count. With EMQX, you will get many data points per second and over time spans to boost your AI, and the AI will be trained faster compared to other brokers.
What is most valuable?
The best feature for EMQX is that it supports many additional features. For example, if you do not want to own a server, you can directly purchase serverless. If you are using another broker and have deployed that broker onto a server, when the user count of your product increases, you would need to own another server, which will cost more. However, with EMQX, you can boost your subscriber count in the EMQX portal to fit more users into your product. That is nearly scalability in AWS in cloud terms, which I appreciate in EMQX.
When I started using the free feature, it supported 250 clients, but they have since reduced it to a significant degree. I do not know the exact number because I have moved to serverless. The free feature is beneficial to startups, so if you are doing a college project or a prototype, the free EMQX is very effective. You can use any server, whether it is Windows, Linux, or anything else, and it will be supported. That is a positive aspect, and it is supported in the free feature as well.
What needs improvement?
EMQX has improved significantly, and it is one of the greatest solutions. If you want to improve further, the SSL certificate and TLS certificate have overhead in serverless EMQX. If there were an option to utilize serverless without that TLS and SSL overhead, the embedded system would not experience the overhead burden. The embedded system would not need to perform a handshake each time it wants to transmit. That is one area that should be implemented in EMQX serverless.
For how long have I used the solution?
3.5 years
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Messaging has supported high volume streaming and delivers reliable real time trading updates
What is our primary use case?
My main use case for EMQX is transporting messages via WebSocket and TCP for streaming data, specifically streaming prices on the trading board of VNDIRECT.
For chatbox messaging or data streaming, I use EMQX as a message broker. When a user sends a message, I use EMQX to send that message to people in my room. With the trading bot, I use EMQX for streaming messages. When I receive a message from Hanoi X and HoSE, I convert the message and send it to the customer who is using a trading bot to monitor price changes.
I use EMQX for my chat platform and message streaming for a trading bot.
What is most valuable?
The best features EMQX offers in my experience are that it can send messages for a large number of customers with a very high message-per-second rate while consuming low resources. When I use an EMQX cluster with three node cores with four CPUs and eight gigabytes of RAM, and three node replicas with eight CPUs and 16 gigabytes of RAM, I can send outgoing messages up to two million messages per second for all my customers who are online at that time.
EMQX has good performance and sends messages with low latency. When I send a message, the latency is less than 100 milliseconds, which is very improved message latency.
When I changed from a trading bot using WebSocket to EMQX, I was able to cut down costs by half of the resources from before. My service has durability and scalability that is very easy to achieve.
What needs improvement?
To improve EMQX, I think it should reduce costs, save time when sending messages, and improve reliability.
Regarding needed improvements, I think EMQX should improve setup time. EMQX cluster setup is not easy. Additionally, 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.
For how long have I used the solution?
I have been using EMQX for three years.
What do I think about the stability of the solution?
EMQX is very stable since I have been using it for three years.
What do I think about the scalability of the solution?
EMQX's scalability is very easy to manage.
When performance is high, we only need to add a node replica.
Which solution did I use previously and why did I switch?
I previously used a different solution before EMQX.
Before EMQX, I used WebSocket. When I changed to EMQX, I found that EMQX is very good for my needs.
How was the initial setup?
I do not purchase EMQX through any cloud marketplace; I download EMQX and set up the free version.
What was our ROI?
I have seen a return on investment by lowering the resource cost by half.
What's my experience with pricing, setup cost, and licensing?
With my experience of pricing, setup cost, and licensing, I am not buying a license because I am using the free version of EMQX.
Which other solutions did I evaluate?
Before choosing EMQX, I evaluated other options such as Mosquitto and other MQTT protocol solutions, but I do not remember all the tech stacks I researched, as it was a long time ago.
What other advice do I have?
My advice to others looking into using EMQX is that if anyone wants to use it for their microservices, they can try it. EMQX is very good for new developers who want to use it.
EMQX is a very good solution for a system with high performance and large throughput messaging for clients using mobile or web applications. You can use the WebSocket feature of EMQX with SSL on port 8084. You can also use other features of EMQX such as webhooks. When I used authorization of EMQX, I faced issues regarding high load performance in my service backend. Therefore, anyone wanting to use authorization of EMQX should use Redis Auth. We changed from webhooks to using Redis Auth, and we achieved better performance. EMQX is a good solution if one is using authorization. I give this review a rating of eight out of ten.
Cost-effective mqtt broker has enabled smooth iot data ingestion and custom auth integration
What is our primary use case?
My main use case for EMQX is using it as a broker for MQTT. In our projects, we use EMQX as an MQTT broker because we are an IoT-based company where devices are provisioned or connected to our cloud through MQTT, allowing devices to send data to our services, back-end service, or cloud using an MQTT connection through EMQX.
What is most valuable?
The best features EMQX offers are that it is highly scalable and cheaper than other brokers, plus we can use our own back-end services integrated to it for authentication and authorization.
I find the integration process with our back-end services for authentication and authorization to be smooth.
EMQX has positively impacted our organization because, as I have already mentioned, it is quite cheaper compared to other enterprise-level brokers we were using, and we find it very easy to maintain and manage, making it quite impactful in our company.
What needs improvement?
I think EMQX can be improved by providing a uniform UI and login feature that we can use in the dashboard.
Additionally, it seems to be a single tenant setup. If we are using a multi-tenant structure, we cannot use it without deploying EMQX dashboard for each instance, which is hard to track. A centralized dashboard where we can add multiple clusters in a single place would be easier to monitor. We also do not find any OAuth integration such as Google login, which would be quite helpful.
For how long have I used the solution?
I have been using EMQX for about two to three years.
What do I think about the stability of the solution?
In my experience, EMQX is pretty stable.
What do I think about the scalability of the solution?
Regarding EMQX's scalability, we have never tested it much, but so far it feels okay from our perspective.
How are customer service and support?
The customer support for EMQX is pretty good and helpful, as we get prompt responses from them.
Which solution did I use previously and why did I switch?
We previously used AWS IoT and switched because it was quite expensive for us.
How was the initial setup?
My experience with pricing, setup cost, and licensing is that it is pretty convenient, though I do not handle the licensing or pricing communication, but I think it is pretty convenient.
What about the implementation team?
Our cloud provider is Google Cloud Platform.
What was our ROI?
Regarding return on investment, I am not sure about the money perspective, but I heard from my manager that we need one extra engineer to set up things.
What's my experience with pricing, setup cost, and licensing?
We have seen specific outcomes such as cost savings since switching to EMQX, as we are using it for trial purposes and have some licenses based on our usage, meaning we do not need to pay for what we are not using.
Which other solutions did I evaluate?
Before choosing EMQX, we evaluated other options from AWS IoT to EMQX.
What other advice do I have?
I would rate the customer support ten out of ten.
My advice for others looking into using EMQX is that if you want to achieve cost savings and you want to deploy on your private infrastructure or in your cloud or cluster, you can do so.
I think EMQX is a great product. I have given this review an overall rating of eight out of ten.
Unified factory data has enabled fast MQTT-based machine state and energy monitoring
What is our primary use case?
EMQX is a unified architecture and unified namespace based on MQTT broker, primarily using EMQX or HiveMQ. We use EMQX for the communication of factory data, sensors, and PLCs.
We track data on sensors and MQTT data by collecting MQTT data for sensors and publishing it to the MQTT broker. We then fetch MQTT data again, calculate some KPIs, and publish these KPIs back to the MQTT broker.
We primarily use energy data for reducing energy costs and calculate the machine state of machines. We use EMQX and MQTT mostly for the machine state of machines. We collect machine data, such as temperature or pressure and sensor values in machines, and then calculate the machine state of the machines or lines. We collect energy data of these machines in energy analyzers and calculate the total energy of the products.
What is most valuable?
The best features EMQX offers include fast communication; MQTT is the fastest protocol that I have observed.
MQTT scalability is excellent, and I am using the REST protocol. The REST protocol is not scalable as it is an old protocol, but MQTT runs a pub-sub mechanism and it is very fast and very scalable. This is excellent.
MQTT enables us to use unified namespace architecture. I collect data and publish data to MQTT and use this factory data on the MQTT broker. This enables us to have very fast integrations and data integrations, and I see data when I need it very quickly. When I use the MQTT broker, I do not need a database. EMQX broker is unified.
For example, MQTT 5.0 is a new version that is very fast.
What needs improvement?
EMQX is a good MQTT broker but the historian is simple. The historian side of EMQX and MQTT is simple and could be better.
It could be more reliable in new versions.
For how long have I used the solution?
I have been working in my current field for three years.
What do I think about the stability of the solution?
EMQX is very stable in my experience.
What do I think about the scalability of the solution?
EMQX's scalability is excellent and I have used EMQX for very big data and it is a very scalable solution.
How are customer service and support?
When I need any support, I read forums and there are many articles in forums.
Which solution did I use previously and why did I switch?
We were using a database, for example, MSSQL or PostgreSQL . In my old experience before MQTT, MQTT is faster than database solutions and more lightweight solutions.
What was our ROI?
I have seen a return on investment with money saved and time saved because the protocol is MQTT.
What's my experience with pricing, setup cost, and licensing?
EMQX is an open-source protocol. The cost is mostly the cloud provider cost. EMQX is open-source and MQTT is also an open-source protocol, so the cost is less.
Which other solutions did I evaluate?
I evaluated other options before choosing EMQX.
What other advice do I have?
EMQX is a unified namespace architecture and is a lightweight solution compared to old database solutions such as MSSQL or PostgreSQL . EMQX is also a very fast communication protocol. MQTT is a very fast communication protocol.
I appreciate EMQX as it is a very lightweight solution. This review has an overall rating of 8.
Real-time stock streaming has transformed trading data access and supports insightful client monitoring
What is our primary use case?
My main use case for EMQX is for the streaming part, as we are a fintech-based startup using EMQX to get stock price details from DriveWealth. We have an MQTT module where we use EMQX as a streaming module to stream the data.
EMQX fits into my workflow as we designed an MQTT module where it helps us to fetch the data from DriveWealth, which is a US-based entity, by using the endpoint where we can get the stream data, thus allowing multiple users to access the stock information.
In terms of my main use case with EMQX, we were using a Docker pulled image of EMQX for the admin panel to see how many clients are connected, how long they are connected, and we have an auth plugin, so all streamed data was able to be fetched with the dashboard.
What is most valuable?
The best features EMQX offers in my experience include the EMQX configuration file, auth file, and HTTP file, which help us to get the relevant data, and EMQX is fantastic for dashboard creation, allowing us to fetch data for our mobile or web-based applications using multiple sources.
The dashboard specifically helped my team to understand how many clients got connected via our EMQX module connection, allowing us to track the health of the EMQX container, such as CPU usage and real-time connections, all tracked via the dashboard alongside multiple config files managing WSS connections.
EMQX has positively impacted my organization in many ways, particularly by making our main agenda of getting stock details and connecting users to our real-time protocol much easier.
What needs improvement?
As for improvements, I do not feel any bug or improvement is needed currently; the features are already sufficient for our efficient use, but if AI enhancements or messaging options could be added, that would help us a lot.
I believe that all suggested improvements are already well-built, and if any AI parts are integrated, it would greatly benefit new users. Overall, I am a happy customer of EMQX.
For how long have I used the solution?
I have been using EMQX for about four years.
What do I think about the scalability of the solution?
I have noticed measurable outcomes with EMQX, as we are mostly happy about the practicability and features offered, which contribute significantly to scalability and helped our product design in a better way.
What other advice do I have?
EMQX is a pretty good product, and I am satisfied with it.
My advice for others looking into using EMQX is that it provides a better and more efficient way of getting data streams and better visualization for your product, along with easy integration and go-to-market solutions. I would rate this product nine out of ten.
