Stream, contextualize, and analyze real-time operational data to power AI-driven industrial operations.
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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.
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.
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.
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.
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