Fully managed, production-ready MQTT for IoT - 10,000 connections, 99.95% uptime SLA, and built-in data streaming. Billed at an hourly rate for each deployed cluster plus message usage, through your AWS account.
HiveMQ Cloud Starter is a fully managed, production-ready MQTT platform that lets you connect and stream your IoT and IIoT data without operating any infrastructure yourself. Built on the enterprise-grade HiveMQ broker, the Starter plan gives you a dedicated, highly available MQTT deployment with clustering and automatic recovery across multiple availability zones - so you can move from prototype to production without re-architecting. Each cluster supports up to 10,000 connections and 1 MB/sec of throughput, secured with TLS encryption, flexible authentication and authorization, and advanced role-based access control. Native Data Streaming Extensions connect your MQTT data to the systems you already use - Kafka, Confluent Cloud, and AWS - making it easy to build a reliable real-time data pipeline. Backed by a 99.95% uptime SLA and Silver support, HiveMQ Cloud Starter is the fastest way for developers and growing teams to run mission-critical MQTT in the cloud. Purchasing through AWS Marketplace lets you provision in minutes, consolidate billing under your existing AWS account, with no infrastructure to manage and no upfront commitment.
Highlights
Fully managed, production-grade MQTT - Dedicated broker with clustering, high availability, and automatic recovery. No infrastructure to run; HiveMQ operates it for you with a 99.95% uptime SLA.
Secure and ready to scale - 10,000 connections and 1 MB/sec throughput per cluster, protected by TLS encryption, flexible authN/authZ, and advanced RBAC.
Real-time data streaming built in - Stream MQTT data straight into Kafka, Confluent Cloud, and AWS Kinesis with native Data Streaming Extensions - turning device data into a usable pipeline from day one.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay for HiveMQ Cloud Starter based on two usage dimensions that combine on your bill. The Up-time hours dimension is a base fee charged per deployed cluster for each hour it runs. The Normalized Messages dimension adds a charge for every million messages processed, measured against a normalized message size. Your total cost scales with how long your cluster stays deployed and how many messages it handles. There is no upfront commitment; both dimensions bill by actual usage.
Top-of-mind questions for buyers
What counts as one normalized message for the per-million-message charge?
Messages are measured against a normalized size, based on a reference message size of 5 KB. Larger messages count as multiple normalized messages, and smaller ones count as a fraction. Your total is the count of normalized messages, billed in millions.
Which dimension drives most of my bill — up-time hours or message volume?
Both charges apply at the same time on one invoice. The up-time hours base fee accrues steadily for each hour your cluster runs. The message charge grows with how many normalized messages you process. High-throughput deployments see message charges dominate, while low-traffic clusters are driven mainly by up-time hours.
Am I still charged if my cluster is deployed but sends few messages?
Yes. The up-time hours base fee applies per deployed cluster for every hour it runs, regardless of message traffic. If message volume drops, that message charge falls, but the up-time base fee continues until you tear down the cluster.
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Vendor refund policy
Fees are nonrefundable except as set out in the HiveMQ AWS Marketplace Terms (EULA). Pro-rata refunds of prepaid, unused fees apply if HiveMQ sunsets material features without a successor (Sec. 2.3.3); the Services fail the performance standard uncured for 30 days (Sec. 4.1.2); force majeure exceeds 30 days (Sec. 9.2); Customer terminates for HiveMQ breach (Sec. 10.4.1); or the Services are enjoined for IP infringement (Sec. 15.3). Refunds are remitted to AWS through the Marketplace.
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This product has charges associated with it for hardening, security configuration, and support.
Eclipse Mosquitto is a single-binary C message broker implementing MQTT 5.0, 3.1.1 and 3.1, the publish/subscribe protocol most IoT devices and telemetry pipelines speak. This Lynxroute build is hardened and ready out of the box: a TLS-only listener on 8883 with no cleartext port at all, anonymous connections refused, two ACL-scoped users with per-instance passwords generated at first launch, a per-instance TLS certificate, UFW firewall pre-configured, and a CIS Level 1 hardened Ubuntu 24.04 LTS base.
EPL-2.0 OR BSD-3-Clause license - fully auditable, no vendor lock-in.
Intuitive Navigation, Helpful Prompts, and Smooth Performance
Reviewed on Aug 09, 2026
Review provided by G2
What do you like best about the product?
The navigation is very well thought out - Explore, Connect, Contextualize, Analyze make it easier to know where to go on each stage. Ask Bea bar with suggestion prompts is helpful instead of starting with a blank search. Getting started cards make onboarding simpler. The platform also has a stable performance without any lags and errors.
What do you dislike about the product?
Some advance features under Contextualize and Analyze aren't very intuitive for new users. They end up leaning on Bea or docs more then you would like. Pricing and licensing info is also not easy to find inside the platform. Aside from this, i haven't come across any other major issues.
What problems is the product solving and how is that benefiting you?
We use it for the messaging backbone between connected devices that need to talk in real time. Before, this meant stitching tools ourselves. HiveMQ gives one platform to connect, monitor and act on data without building infrastructure from scratch, saving time on deployment and catching issues early.
Rahul G.
Stable, High-Traffic Performance with Helpful Monitoring
Reviewed on Aug 09, 2026
Review provided by G2
What do you like best about the product?
I mostly like HiveMQ because it has been quite stable for our day to day work. We use it for communication between devices and our backend, and it handles a good amount of traffic without creating many issues. The monitoring part is also useful because I can quickly check the connections and see if something is going wrong. Integration with our existing systems was also not too difficult.
What do you dislike about the product?
The main issue for me was getting used to some of the advanced settings. There are a lot of options and the documentation is good, but sometimes I had to spend more time finding the exact information I needed. The pricing can also be a little difficult to justify for smaller projects.
What problems is the product solving and how is that benefiting you?
We mainly use HiveMQ to keep communication between our IoP devices and backend services reliable. Earlier, handling increasing device connections and message traffic was becoming harder to manage. With HiveMQ, the communication has been more stable and it has also made scaling the setup easier as we add more devices.
Surya Pratap S.
Exceptional Reliability and Scalability for High-Throughput MQTT Messaging
Reviewed on Aug 08, 2026
Review provided by G2
What do you like best about the product?
The best part about HiveMQ is its exceptional reliability and scalability for handling MQTT messages. Integrating it with java based systems was incredibly straightforward for my messaging projects. the control centre dashboard is very intuitive, making it easy to monitor active client connections and message traffic in real time. It effortlessly handles high throughput without dropping connections, which is a huge plus.
What do you dislike about the product?
While the platform is highly robust, the initial setup and configuration can be a bit overwhelming for someone just starting out. the documentation is very detailed but could definitely use more simplified, quick start examples for complex cluster setups. Also, the enterprise pricing can feel a bit steep for smaller scale applications.
What problems is the product solving and how is that benefiting you?
I am using it to ensure seamless and low latency communication between connected devices. It completely solves the problem of the message loss during unreliable network conditions thanks to its QoS features. The biggest benefit for me is the stability it provides, knowing that the broker can scale up automatically if the number of connected clients suddenly spikes
Abhishek P.
Enterprise-Grade MQTT Platform That Delivers
Reviewed on Aug 07, 2026
Review provided by G2
What do you like best about the product?
One of the things I like most about HiveMQ is how dependable it has been in our daily operations. It handles large volumes of MQTT messages without affecting performance, and onboarding new customer sites has been smooth. The integration with Apache Kafka fits well into our existing workflow, and the pricing is reasonable compared to similar enterprise solutions. The support team has also been helpful whenever we had questions, and the AI features have reduced the time we spend on routine monitoring tasks.
What do you dislike about the product?
Overall, our experience has been very positive. We haven't faced any major issues, and the platform has been easy for both experienced and new team members to use. If I had to mention one improvement, I would like to see more flexibility in dashboards and built-in analytics, but this hasn't affected our day-to-day work
What problems is the product solving and how is that benefiting you?
We use HiveMQ as the messaging platform for our IoT devices to ensure reliable communication between connected devices and our backend systems. It has improved scalability, simplified device management, and helped us process real-time data more efficiently.
Divyanshu M.
Fast, Stable, and Easy-to-Manage MQTT
Reviewed on Aug 07, 2026
Review provided by G2
What do you like best about the product?
One of the things I like most about HiveMQ is how dependable it has been in our daily operations. It handles large volumes of MQTT messages without affecting performance, and onboarding new customer sites has been smooth. The integration with Apache Kafka fits well into our existing workflow, and the pricing is reasonable compared to similar enterprise solutions. The support team has also been helpful whenever we had questions, and the AI features have reduced the time we spend on routine monitoring tasks.
What do you dislike about the product?
One of the things I like most about HiveMQ is how dependable it has been in our daily operations. It handles large volumes of MQTT messages without affecting performance, and onboarding new customer sites has been smooth. The integration with Apache Kafka fits well into our existing workflow, and the pricing is reasonable compared to similar enterprise solutions. The support team has also been helpful whenever we had questions, and the AI features have reduced the time we spend on routine monitoring tasks.
What problems is the product solving and how is that benefiting you?
We use HiveMQ as the messaging platform for our IoT devices to ensure reliable communication between connected devices and our backend systems. It has improved scalability, simplified device management, and helped us process real-time data more efficiently.