IoT Connectivity Management Software Resources

HiveMQ enables IT/OT integration by replacing fragile point‑to‑point connections with an event‑driven architecture built on MQTT, so OT systems publish data once and multiple IT applications can subscribe in real time. By bridging legacy OT protocols into MQTT and organizing data in a Unified Namespace (UNS), HiveMQ creates a single, consistent source of industrial data that is secure, scalable, and easy to integrate with cloud, analytics, and AI platforms.

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HiveMQ provides an MQTT-based industrial data backbone that securely streams real-time OT data from machines, sensors, and control systems to IT, cloud, and analytics platforms. With HiveMQ Pulse and Data Hub, it validates, structures, and contextualizes data, creating governed, AI-ready streams that power predictive maintenance, quality monitoring, process optimization, digital twins, and emerging agentic AI use cases across plants and sites. For more information on how HiveMQ supports Agentic AI in Industrial Operations, visit https://www.hivemq.com/solutions/agentic-ai-in-industrial-operations/

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HiveMQ connects to the enterprise data stack through a broad marketplace of enterprise extensions with no vendor lock-in. With HiveMQ, you can connect MQTT streams to streaming & messaging platforms, such as Apache Kafka, Amazon Kinesis, & Google Cloud Pub/Sub. You can also connect to cloud data lakes & storage, like Snowflake, Databricks, AWS S3, Azure Blob Storage, etc. You can also connect to databases / analytics stores, such as MongoDB, PostgreSQL, TimescaleDB, MySQL, MariaDB, Microsoft SQL Server / Azure SQL, CockroachDB, etc. You can also build custom downstream integrations with the HiveMQ Extension SDK if you need something not covered out of the box. Visit https://www.hivemq.com/products/extensions/ for more information.

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