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Product News: HiveMQ enables seamless IoT-data integration to AWS

Nov. 30, 2022
New feature enables customers to integrate MQTT data into Amazon Kinesis Data Streams for IoT data analytics.

HiveMQ announced the availability of the HiveMQ Enterprise Extension for Amazon Kinesis, a new feature that allows users to move their MQTT data from the broker into AWS using Amazon Kinesis Data Streams. With this release, HiveMQ customers can now integrate MQTT data to any of the three major cloud providers—AWS, Microsoft Azure or Google Cloud—or simultaneously in a multi-cloud environment.

“Our goal is to give customers a flexible and open foundation for MQTT data transport, no matter which cloud platform they choose, and this new extension completes that offering,” said Christian Götz, CEO and co-founder of HiveMQ. “We are seeing more enterprise customers adopting multi-cloud strategies, and HiveMQ is perfectly positioned to allow them to avoid vendor lock-in and integrate data to any of these services for advanced analytics, machine learning, storage, or other use cases.”

HiveMQ’s platform-agnostic, full-featured broker offers 100% MQTT compliance, efficient network utilization, enterprise-grade security, reliable data delivery and the ability to scale to millions of always-on concurrent connections to meet the requirements of any IoT application, they claim. The extension framework gives customers the flexibility to integrate seamlessly with enterprise systems to support multi-cloud strategies and eliminate vendor lock-in.

The new HiveMQ Enterprise Extension for Amazon Kinesis offers the following features:

  • Seamless integration of MQTT data into Amazon Kinesis Data Streams
  • Indirect support for Amazon Kinesis Data Firehose and Data Analytics as they read data from Kinesis Data Streams
  • Configuration of access credentials and authentication via AWS Identity and Access Management
  • Continuous support and feature updates from HiveMQ 

Click here for early access version of the HiveMQ Enterprise Extension for Amazon Kinesis.