Industrial AI platform combining real-time data streaming, data intelligence, and governed agentic AI for operational environments from edge to cloud.
HiveMQ Platform is an industrial data platform that unifies real-time MQTT/data streaming, contextualization, distributed data intelligence and an agentic-AI action layer in one product family.12
The current Platform organizes capabilities around Connect, Contextualize, Analyze and Act. Official documentation describes one management surface spanning cloud and self-managed broker deployments, edge devices and higher-level intelligence.12 The Act layer is explicitly in public preview rather than generally mature production status.3
HiveMQ describes agents that can run on-premises or edge-first, use outbound certificate-authenticated connections, operate under policy gates and human approvals, and record decisions/actions for audit.3 These are current first-party product claims; AiToolMap did not independently validate control enforcement or autonomous-action accuracy.
HiveMQ publishes unusually detailed entry pricing. Self-managed Lab is free; Launch is currently advertised at $299/month and Run at $499/month. Enterprise is capacity-priced. Fully managed Serverless is free, Starter begins at $0.34/hour plus $0.80 per million messages, and Enterprise is custom. The complete Agentic AI for Operations surface is in public preview and appears in the Enterprise platform comparison.4
The underlying HiveMQ platform has substantial operating history and current G2 coverage. G2 reports 4.5/5 from 84 reviews for HiveMQ, with current reviews emphasizing clustering, reliability, deployment flexibility and technical complexity.5 Because this evidence primarily reflects the broader established HiveMQ product rather than the newly launched full Platform and agentic Act layer, AiToolMap applies only a 0.50 product-surface factor to the numeric external observation.
Products matched by shared tasks, audience, workflow, product type and capabilities.