Risorse Software IoT Industriale

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 fornisce una dorsale dati industriale basata su MQTT che trasmette in modo sicuro dati OT in tempo reale da macchine, sensori e sistemi di controllo a piattaforme IT, cloud e di analisi. Con HiveMQ Pulse e Data Hub, convalida, struttura e contestualizza i dati, creando flussi governati e pronti per l'IA che alimentano la manutenzione predittiva, il monitoraggio della qualità, l'ottimizzazione dei processi, i gemelli digitali e i nuovi casi d'uso di IA agentica emergenti in impianti e siti. Per ulteriori informazioni su come HiveMQ supporta l'IA agentica nelle operazioni industriali, visita 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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