HomeAI Core TechnologiesHiveMQ Platform Now Offers Seamless MQTT Data Lake Integration

HiveMQ Platform Now Offers Seamless MQTT Data Lake Integration

New offering simplifies integrating IoT data into the data lake

HiveMQ, the global leader in enterprise MQTT solutions, today announced the general availability of the HiveMQ Enterprise Data Lake Extension to enable MQTT data integration into data lakes.

Building data models for machine learning, AI, and other advanced analytics initiatives requires large volumes of IoT data, and the HiveMQ Enterprise Data Lake Extension helps companies move that data with seamless integration to data lakes on Amazon, Google, Azure, Databricks, and other providers. Integrating IoT data into the data warehouse empowers businesses to extract valuable insights for analytics, data engineering, and machine learning, driving impactful AI use cases.

“Companies are looking to derive better business insights and value from the data generated from their IoT devices,” said Dominik Obermaier, CTO and co-founder of HiveMQ. “Our data lake extension empowers data analysts and data scientists to analyze information swiftly, providing businesses with a competitive advantage that goes beyond efficiency—it’s about thriving in the data-driven future.”

The new HiveMQ Enterprise Data Lake Extension helps:

  • Integrate IoT data via MQTT to cloud storage seamlessly, efficiently, and at scale.
  • Optimize storage costs by only ingesting the MQTT topics needed into cloud storage.

HiveMQ is the most trusted enterprise MQTT platform, purpose-built to connect anything via MQTT, communicate reliably, and control IoT data. The platform can be deployed anywhere, on-premise or in the cloud, giving users the flexibility and freedom they need to evolve as their IoT deployment grows. The extensible platform provides seamless connectivity to the leading data streaming, databases, and data analytics platforms, plus offers a custom SDK for a perfect fit in any stack.

The HiveMQ Enterprise Data Lake Extension is part of the HiveMQ Platform.