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Build Scalable IoT Systems with Confluent Cloud

Stream MQTT Data in Real-Time to Your Kafka Environment

HiveMQ Cloud´s integration with Confluent Cloud enables bidirectional data transmission between IoT devices and Kafka clusters to seamlessly integrate MQTT data with Confluent Cloud.

HiveMQ Cloud and Confluent Cloud

Bidirectional data transmission between IoT devices connected to HiveMQ and Kafka clusters on Confluent Cloud.

HiveMQ and Confluent Cloud Integration
HiveMQ and Confluent with Kafka

Confluent Cloud Integration

HiveMQ Cloud connects directly to Confluent Cloud, enabling bi-directional data exchange between IoT devices.

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

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

  • Forward MQTT messages from IoT devices connected to HiveMQ to topics in one or more Kafka clusters.

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

  • Supports all MQTT 3 and MQTT 5 features, including all QoS levels

  • Route MQTT messages to Kafka topics using wildcard MQTT topic filters.

HiveMQ and Kafka Overview

HiveMQ and Kafka offer an end-to-end solution for connecting IoT deployments and systems.

HiveMQ and Kafka

Bi-directional MQTT Data Integration with Kafka

Why Kafka needs HiveMQ for IoT

Kafka is well suited for sharing data between enterprise systems and applications located in a data center or in the cloud. However, for IoT use cases, there are several reasons Kafka is not well-suited:

No Direct Client Access

Kafka brokers need to be addressed directly by the client, which isn‘t the case for IoT devices that connect through load balancers.

Unstable IP Connections

Kafka clients require a stable IP connection, which isn‘t always true for IoT devices connecting over unreliable cellular networks.

Limited Topic Support

Kafka does not support many topics, so large IoT deployments with large topic spaces typically don‘t fit well into Kafka.

Resource Utilization

Kafka clients are complex and resource intensive, so smaller constrained IoT devices often can‘t run a Kafka client.

Why Choose HiveMQ to integrate MQTT data with Kafka?

Attain Business Critical Reliability with HiveMQ MQTT & Kafka integration

Business Critical Reliability

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

Achieve Scalability to Support Growth with HiveMQ

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 with HiveMQ MQTT Platform

Flexible Integration

Focus on your core business instead of using developer resources with data integration into enterprise applications and infrastructure like Apache Kafka.

End-to-End MQTT Security with HiveMQ MQTT Platform

End-to-End Security

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

Observable Insights with HiveMQ MQTT Platform

Observable Insights

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

Simple-to-Deploy MQTT Platform


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.

Selected HiveMQ Customers Using Kafka

Braveheart Wireless Revolutionizes Remote Patient Monitoring with HiveMQ

Discover how Braveheart Wireless, a pioneer in wearable technology, transformed remote patient monitoring with HiveMQ. Explore their challenges in a regulated healthcare environment, their secure bidirectional communication edge-to-cloud, and how HiveMQ's MQTT integration accelerated time-to-market, reduced resources for approvals, and improved healthcare professionals' insights for enhanced patient care.

Case Study

BMW Mobility Services Drives Connectivity Innovation with HiveMQ: A Case Study in Seamless Car-Sharing Solutions

Discover how BMW Mobility Services, a leader in innovative mobility solutions, leverages HiveMQ for their car-sharing application. Overcoming challenges of network reliability, they achieved sub-second response times, supported over 80,000 concurrent connections, and improved services in unreliable network areas. Download the case study for insights into their successful implementation and recommendations for utilizing HiveMQ and MQTT in IoT solutions.

Case Study

Driving Innovation: Rimac's Connected Cars Leverage HiveMQ's MQTT for Automotive Excellence

Explore Rimac's success story in the realm of connected cars, powered by the cutting-edge MQTT technology from HiveMQ. Discover how MQTT transforms automotive connectivity, providing real-time, efficient communication for the next generation of smart and connected vehicles.

Case Study

Driving the Connected Future: Autonomic's Automotive Breakthrough with MQTT and HiveMQ

Explore Autonomic's journey in revolutionizing the automotive industry through connected vehicles, powered by HiveMQ's MQTT technology. Delve into this insightful case study, showcasing how MQTT solutions are shaping the future of automotive connectivity, ensuring seamless communication and innovation in the realm of connected vehicles.

Case Study

Elevating Connected Vehicles with MQTT: ECARX's Success Journey with HiveMQ

Explore how ECARX revolutionized the automotive landscape through the seamless integration of MQTT technology. Dive into our case study, showcasing the pivotal role of HiveMQ in enhancing connected vehicles, optimizing communication, and reshaping the future of smart mobility

Case Study

Revolutionizing Medical Device Connectivity: Freeus Trusts HiveMQ for Unmatched Reliability with MQTT

Discover how Freeus, a leader in medical alert solutions, achieves unparalleled reliability in device connectivity using HiveMQ's MQTT broker. Explore the case study highlighting the seamless integration, ensuring secure and efficient communication crucial in the medical field.

Case Study

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