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Solution

The ideal MQTT platform for Azure Cloud

Stream MQTT data to Azure Cloud in real-time

HiveMQ’s Azure solution enables seamless bi-directional MQTT data streaming via Event Hub (using our Kafka Extension), along with direct and efficient MQTT data integration with Azure SQL and Azure Blob Storage. This versatile solution allows you to leverage data across all Azure applications.

HiveMQ and Azure overview

HiveMQ and Azure offer an end-to-end solution for connecting IoT deployments and systems to AWS infrastructure. HiveMQ is trusted as the enterprise standard for reliable, scalable real-time communication in constrained IoT environments.

HiveMQ and Azure Architectural Overview

HiveMQ and Azure Architectural Overview

The HiveMQ Enterprise Extension for Kafka enables seamless MQTT data exchange between IoT devices and the Azure Cloud through Azure Event Hub. This integration allows customers to leverage various Azure services such as Azure Stream Analytics, Azure Data Lake Storage Gen 2, Azure Spring Apps, Apache Spark, and Apache Flink. Additionally, the Microsoft SQL Extension, along with other database extensions like MySQL and MongoDB, enables direct storage of IoT data into the Azure Cloud.

Variety of Connectivity Integrations to Leverage Azure

Variety of Connectivity Integrations to Leverage Azure

Why choose HiveMQ to integrate MQTT data with Azure Cloud?

Business critical reliability

Operate mission-critical systems reliably 24/7 with zero message loss and redundant clustering technology.

Scalability to support growth

Add any number of assets and scale to millions of connected devices seamlessly with a linear design for scalability.

Flexible integration

HiveMQ offers data integration extensions for databases, data analytics platforms, and major hyperscalers including Azure Cloud.

End-to-end security

Ensure applications and data meet the highest security standards with end-to-end encryption and configurable security controls.

Observable insights

Troubleshoot and keep all systems running as planned with tools and metrics for transparency and observability.

Simple to deploy

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.
HiveMQ Azure Event Hub

Azure Event Hub

The HiveMQ Enterprise Extension for Kafka implements the native Kafka protocol inside the HiveMQ MQTT broker, allowing direct connectivity to Azure Event Hub.

  • Solve the difficulty of using Kafka for IoT by seamlessly integrating MQTT messages into the Azure Event Hub messaging flow.

  • Add monitored, bidirectional MQTT messaging to and from Azure Event Hub clusters for a highly scalable and resilient end-to-end IoT solution.

  • Forward MQTT messages from IoT devices that are connected to HiveMQ to topics in one or more Azure Event Hub clusters.

  • Get information from a Azure Event Hub topic and publish this information as MQTT messages to one or more MQTT topics.

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HiveMQ and Microsoft SQL Server

Azure SQL

The HiveMQ Enterprise Extension for Microsoft SQL Server connects directly to Azure SQL and provides a simple way to store IoT device Data in Azure SQL.

  • Forward MQTT messages directly into Azure SQL, without additional middleware or infrastructure.
  • Ingest MQTT data in its original format, including payload, topic, timestamps, and metadata, directly into the database.
  • Leverage Azure Cloud's powerful querying and reporting tools to create use-case-specific tables and insights, ensuring flexibility for current and future applications.
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HiveMQ and Data Lake S3 Integration

Azure Blob

The HiveMQ Enterprise Data Lake Extension writes directly to Azure Blob Storage allowing all IoT data to be stored and analyzed in Azure Cloud.

  • Forward MQTT messages from IoT devices to one or more Azure Blob instances.
  • Convert MQTT messages into Parquet table rows with column mappings.
  • Omnidirectional data mapping from MQTT to Azure Blob.
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