HiveMQ
Claim this toolStream, contextualize, and analyze real-time operational data to power AI-driven industrial operations.
Free plan available, paid tiers aboveVisit WebsiteReviews on G2 Capterra
94 reviews tracked 2 press mentionsThe Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- Provides a scalable MQTT platform for real-time operational data streaming from edge to cloud.
- Contextualizes and governs industrial data to create a unified source of truth for IT and OT.
- Powers agentic AI and analytics by delivering trusted, real-time data for automated decision-making and operational improvement.
Pros
- Built for enterprise-grade industrial scale and mission-critical operations, proven with billions of messages daily.
- Focuses on data contextualization and governance, ensuring data quality and trustworthiness for AI.
- Offers a fully-managed cloud option (HiveMQ Cloud) with a free tier for easy adoption and testing.
- Designed to be AI-native, facilitating the development and deployment of AI-driven use cases directly on real-time data.
- Provides robust security features including ISO 27001 and SOC 2 certifications.
Cons
- The complexity of industrial AI and large-scale IoT deployments may require significant technical expertise.
- Specific pricing details for the self-hosted HiveMQ Platform are not publicly listed, requiring a demo or contact with sales.
What is HiveMQ?
HiveMQ is an industrial data platform purpose-built to bring operational data from the edge into the enterprise. It provides a robust MQTT platform for connecting, streaming, and managing real-time data at scale, enabling organizations to build resilient data backbones for mission-critical operations. The platform focuses on unifying OT and IT data, contextualizing it with structure and governance, and then analyzing it to generate insights.
HiveMQ is designed to feed trusted, real-time data to AI models, facilitating agentic AI systems that can automate decisions and continuously improve operational outcomes. It supports a full customer journey from connecting devices and systems via MQTT, to contextualizing data for a shared understanding, analyzing patterns for insights, and finally acting on those insights with human or AI intervention. The platform is ideal for industries like manufacturing, energy, transportation, and data centers, aiming to reduce downtime, optimize efficiency, and accelerate AI transformation.
Available on: Web
Louis Corneloup Source hivemq.com ↗
Ratings Across the Web
4.5 (94 reviews)
HiveMQ holds an aggregate rating of 4.5 out of 5 from 94 reviews across G2 and Capterra, last checked September 17, 2026.
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
- Real-time MQTT data streaming across edge, site, and cloud
- Clustered persistence and reliable data delivery with zero data loss
- Massive scalability supporting millions of connections and billions of messages
- Seamless interoperability bridging OT protocols (OPC UA, Modbus, BACnet) with IT systems
- Governed Unified Namespace for consistent, reusable industrial data models and metadata
- Data transformation and validation from edge to cloud
- Distributed intelligence for insights where data is created
- Autonomous agents for continuous operations monitoring and anomaly detection
Pricing Plans
Free TrialPricing checked Oct 3, 2026
| Plan | Price | Details |
|---|---|---|
| Cloud Serverless | Free |
+5 more Show less
|
| Cloud Starter | Starting from $0.34/hour + $0.80/million messages |
+32 more Show less
|
| Enterprise Platform | Contact us |
+48 more Show less
|
Included in all plans
- Data Streaming
- MQTT 3.1 and 3.1.1
- MQTT 5
- MQTT over TLS/SSL
- MQTT over WebSockets
- IPv4
- IPv6
Is HiveMQ worth the price?
Good value
HiveMQ's pricing structure is fair, offering a generous free tier for basic needs and a scalable paid option.
The Cloud Serverless tier is genuinely free and suitable for small projects, while the Cloud Starter tier, starting at $0.34/hour plus message costs, provides robust features for growing businesses. This makes it an excellent choice for startups and SMBs needing reliable MQTT services.
Reviews
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4.5/5
Across 94 verified user reviews on G2, Capterra
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HiveMQ FAQ
How does HiveMQ support AI-driven industrial operations?
HiveMQ is purpose-built to feed trusted, real-time operational data to AI models, facilitating agentic AI systems. It enables organizations to stream, contextualize, and analyze real-time data to automate decisions and continuously improve operational outcomes.
Which teams benefit most from using HiveMQ?
Teams in industries such as manufacturing, energy, transportation, and data centers will find HiveMQ most beneficial. It helps these teams reduce downtime, optimize efficiency, and accelerate their AI transformation by unifying OT and IT data.
How does HiveMQ compare to EMQX?
HiveMQ, like EMQX, provides a robust MQTT platform for connecting and managing real-time data at scale. However, HiveMQ specifically emphasizes data contextualization and governance to ensure data quality and trustworthiness for AI applications in industrial settings.
What kind of data governance features does HiveMQ offer?
HiveMQ focuses on contextualizing operational data with structure and governance, ensuring data quality and trustworthiness for AI. This approach helps create a shared understanding of data across an organization.
What are the main challenges when implementing HiveMQ?
Implementing HiveMQ for industrial AI and large-scale IoT deployments may require significant technical expertise. Additionally, specific pricing details for the self-hosted platform are not publicly listed, requiring direct contact with sales.
How is HiveMQ priced?
HiveMQ offers a free tier for its fully-managed cloud option, HiveMQ Cloud, which allows for easy adoption and testing. Paid plans are available for users requiring more usage and additional features.
Can HiveMQ handle large volumes of real-time messages?
Yes, HiveMQ is built for enterprise-grade industrial scale and mission-critical operations, proven to handle billions of messages daily. It provides a robust MQTT platform designed for connecting, streaming, and managing real-time data at scale.
Source: hivemq.com