Azure Cloud offers a comprehensive platform for connecting, managing, and deriving insights from diverse devices and data, enabling seamless integration and scalable IoT solutions. The HiveMQ Extension for Kafka connects with Azure Event Hubs to enable secure, bi-directional, MQTT data streaming between IoT devices, enterprise systems, and applications in real-time.
Seamlessly integrate MQTT data from millions of IoT devices into Azure Cloud securely and reliably
Use this valuable data for real-time analytics, gain strategic insights, and enhance business operations
MQTT's design ensures data transmission in low-connectivity settings, supported by QoS levels 0, 1, and 2 for message reliability
HiveMQ’s Extension for Kafka supports all three MQTT QoS levels to ensure MQTT data is delivered reliably into Azure Cloud
As many hyperscalers retire their IoT solutions, HiveMQ offers a range of solutions for MQTT data integration with all major cloud providers to support your multi-cloud strategy
We have custom-built extensions for AWS, Microsoft Azure, Google Cloud, and Kafka (Confluent Cloud)
With the HiveMQ Enterprise Extension for Kafka, integrating MQTT data with Azure Event Hubs is effortless. This extension is part of the HiveMQ Platform and forwards MQTT messages from IoT devices (sensors, machines, smart devices, etc.) directly to subscribing topics in Azure Event Hubs. Once the data is in Azure, it can be used for Machine Learning for predictive maintenance, visualized in Power BI for analytics and reporting, or stored in Azure Data Lake.
Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.
Add any number of assets and scale to millions of connected devices seamlessly with a linear design for scalability.
HiveMQ offers data integration extensions for databases, data analytics platforms, and major hyperscalers including Azure Cloud.
Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.
Troubleshoot and keep all systems running as planned with tools and metrics for transparency and observability.
Achieve rapid time-to-value with a platform that is flexible enough to deploy on-premise, in any cloud, or via the fully-managed and feature-rich HiveMQ Cloud offering.
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