HiveMQ

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HiveMQ empowers businesses to unlock the full potential of their data with the most trusted edge-to-cloud IoT data streaming platform. Built on MQTT’s publish/subscribe architecture for seamless and flexible integration across operational technology (OT) assets and information technology (IT) applications, HiveMQ ensures businesses can efficiently connect, stream, and govern their data in real-time. With a focus on reliability, scalability, and security, HiveMQ helps organizations get their data AI-ready—enabling advanced analytics, predictive maintenance, and digital transformation. Leading brands like Audi, BMW, Liberty Global, Mercedes-Benz, Siemens, and Eli Lilly trust HiveMQ to modernize their operations, accelerate innovation, and create smarter, data-driven experiences.

HiveMQ is a robust MQTT broker designed to facilitate fast, efficient, and reliable data communication between IoT devices and enterprise systems. It operates as a messaging platform, enabling seamless integration of connected devices with backend systems. HiveMQ supports easy and flexible integration through an open API, allowing for quick integration with various enterprise systems like Kafka, SQL, and NoSQL databases.

One of the key features of HiveMQ is its ability to connect any device securely and reliably using the MQTT protocol. This ensures fast and instant data delivery, which is especially beneficial for IoT applications that require real-time data exchange. HiveMQ also offers the flexibility to run anywhere, leveraging the open IoT standard MQTT, and providing access to a wide variety of MQTT clients from open-source communities.

HiveMQ's capabilities extend beyond traditional MQTT brokers with tools like HiveMQ Data Hub, which enables stateful transformations. This allows for tracking message history, performing data aggregations, and unlocking real-time insights directly within the MQTT broker. Data Hub enhances data quality by validating incoming messages, transforming schemas, and ensuring data is accurate and standardized. This feature simplifies data pipeline architectures, improves data quality, and accelerates time-to-insight, making each MQTT message more valuable for business decision-making.

This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.

Categories:

Business

IoT Connectivity Management Software

Message Queue Systems

Industrial IoT Software

Website: hivemq.com

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