Message Queue (MQ) Software Resources

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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HiveMQ is different from other MQTT brokers because it is engineered as an enterprise MQTT backbone for operational data, combining reliable data streaming with built-in intelligence to power AI-ready industrial operations. It offers high availability. Masterless clustering, replication, and persistent storage keep MQTT workloads running through node failures and upgrades. It offers scalability. It can scale to millions of concurrent MQTT connections and billions of messages per day, proven in always-on industrial and IoT production environments. It offers flexibility. You can run the same broker in the cloud, on premises, or at the edge and scale linearly. It offers security and governance. You get TLS, fine grained access control, and audit logging protect sensitive operational data across teams. It features intelligence. HiveMQ Pulse and HiveMQ Data Hub turn raw MQTT streams into governed, contextualized operational data that is ready for analytics and AI. Try for free: https://www.hivemq.com/products/mqtt-cloud-broker/

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