HiveMQ
UnclaimedStream, contextualize, and analyze real-time operational data to power AI-driven industrial operations.
Visit WebsiteReviews onG2Capterra
72 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Built for enterprise-grade industrial scale and mission-critical operations, proven with billions of messages daily.
Biggest con
The complexity of industrial AI and large-scale IoT deployments may require significant technical expertise.
TL;DR - HiveMQ
- 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.
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms
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
Pros & Cons
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.
Ratings Across the Web
4.5(72 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Real-time MQTT data streaming across edge, site, and cloudClustered persistence and reliable data delivery with zero data lossMassive scalability supporting millions of connections and billions of messagesSeamless interoperability bridging OT protocols (OPC UA, Modbus, BACnet) with IT systemsGoverned Unified Namespace for consistent, reusable industrial data models and metadataData transformation and validation from edge to cloudDistributed intelligence for insights where data is createdAutonomous agents for continuous operations monitoring and anomaly detection
Pricing Plans
Free TrialCloud Serverless
Free
- Shared MQTT platform
- 100 connections free
- No uptime SLA
- Online Support
- Data Streaming
- Max 1 MB/sec Throughput
- Community forum Support
- MQTT 3.1 and 3.1.1
- MQTT 5
- MQTT over TLS/SSL
- MQTT over WebSockets
- IPv4
- IPv6
- Basic MQTT credentials
- Role based Topic permissions granularity
Cloud Starter
Starting from $0.34/hour + $0.80/million messages
- Complete data streaming platform
- Dedicated MQTT platform
- Unlimited connections
- 99.95% Uptime SLA
- Online Support Forum
- Data Streaming
- Over 1 MB/sec Throughput
- Dedicated Broker Cloud Infrastructure
- 99.95% Uptime SLA
- Business Hour Support
- Configurable Priority 1 reaction time
- Kafka Integration
- Amazon Kinesis Integration
- Data Lake Integration
- Google Pub/Sub Integration
- MongoDB Integration
- MySQL Integration
- PostgreSQL Integration
- Data Hub Integration
- Snowflake Integration
- Distributed tracing
- MQTT 3.1 and 3.1.1
- MQTT 5
- MQTT over TLS/SSL
- MQTT over WebSockets
- IPv4
- IPv6
- Full RBAC support
- Client certificate authentication
- OAuth/JWT MQTT AuthN
- Multiple authentication methods
- Custom domain name
- Multi-AZ Regional hosting options
- EU hosting
- Control Center - Drill down views
- Control Center - Client event history
- Control Center - Advanced observability
- Broker REST API
- Additional users
- User/role management
- Prometheus metrics end point
- Broker event log access
Enterprise Platform
Contact us
- Complete HiveMQ Platform
- Data Streaming
- Data Intelligence
- Agentic AI (Coming Soon)
- Up to 99.999% uptime
- Dedicated support
- Custom Scale Throughput
- Dedicated Broker Cloud Infrastructure
- On-Premise Deployment
- Up to 99.999% Uptime SLA
- 24x7 Support
- Dedicated Team Options
- 8 hours Priority 1 reaction time
- Consulting & Professional services Available
- SOC 2 Compliance
- ISO/IEC 27001 Compliance
- PII Protection
- Kafka Integration
- Amazon Kinesis Integration
- Data Lake Integration
- Google Pub/Sub Integration
- MongoDB Integration
- MySQL Integration
- PostgreSQL Integration
- Data Hub Integration
- Snowflake Integration
- Distributed tracing
- Bridge Protocols
- MQTT 3.1 and 3.1.1
- MQTT 5
- MQTT over TLS/SSL
- MQTT over WebSockets
- IPv4
- IPv6
- Full RBAC support
- Client certificate authentication
- OAuth/JWT MQTT AuthN
- Multiple authentication methods
- LDAP / Active Directory support
- Audit Log Platform
- Custom domain name
- Multi-AZ Regional hosting options
- EU / US Hosting
- Custom Choose your cloud
- Private link
- Control Center - Drill down views
- Control Center - Client event history
- Control Center - Advanced observability
- Broker REST API
- Additional users
- User/role management
- Prometheus metrics end point
- Broker event log access
- Unified Namespace Creation & Governance
- In-Stream Transformation & Enrichment
- Agent-Based Execution & Validation
- Semantic Layer & Query Orchestration
- Federated, Model-Driven Architecture
Reviews
4.5/5
Across 72 verified user reviews on G2, Capterra
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HiveMQ FAQ
How does HiveMQ ensure data reliability and prevent data loss in large-scale industrial deployments?
HiveMQ ensures data reliability through clustered persistence and reliable delivery mechanisms across edge, on-premise, and cloud environments. This architecture is designed for zero data loss and provides a resilient real-time data backbone for always-on, mission-critical operations, even with millions of connections and billions of messages daily.
What is the 'Unified Namespace' in HiveMQ, and how does it benefit industrial operations?
The Unified Namespace in HiveMQ is a core component of its Data Intelligence capabilities. It enforces models and metadata for industrial data, providing a consistent, reliable, and reusable framework. This allows OT and IT teams to align around governed, contextualized data, creating a shared understanding across the business and powering distributed intelligence without fragile custom scripts.
Can HiveMQ integrate with existing OT protocols and IT systems for a holistic data view?
Yes, HiveMQ offers seamless interoperability by bridging various OT protocols such as OPC UA, Modbus, and BACnet with IT systems and AI platforms. This capability allows organizations to unify diverse data sources and create a comprehensive, real-time data stream from the edge to the enterprise, feeding analytics and AI models.
What kind of AI-driven actions can be automated using HiveMQ's Agentic AI capabilities?
HiveMQ's Agentic AI capabilities enable autonomous agents to continuously monitor operations, detect anomalies, and trigger corrective workflows. This can include actions like rerouting production, performing predictive maintenance, reallocating capacity, and coordinating across machines, plants, and systems to enable self-organizing operations at scale, ultimately improving operational outcomes.
What are the key differences between HiveMQ Cloud's Serverless, Starter, and Enterprise plans?
HiveMQ Cloud offers a Serverless plan for learning and experimenting with MQTT, providing 100 free connections and 10 GB data traffic per month without an uptime SLA. The Starter plan is for testing and small-scale production, offering unlimited connections, up to 1MB/s throughput, client certificate authentication, and a 99.95% uptime SLA. The Enterprise plan is fully customizable for sophisticated workloads, providing unlimited throughput, exclusive infrastructure options, custom integrations, a dedicated customer success manager, and a 99.99% uptime SLA.
Source: hivemq.com