Stream MQTT Data in Real-Time to Your Kafka Environment
Apache Kafka is a popular open-source streaming platform that makes sharing data between enterprise systems and applications easy. Enable secure, bi-directional, real-time data streaming between IoT devices, enterprise systems, and applications with HiveMQ’s integration to Kafka.
HiveMQ and Kafka offer an end-to-end solution for connecting IoT deployments and systems.
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.
Kafka Extension Overview
The HiveMQ Enterprise Extension for Kafka implements the native Kafka protocol inside the HiveMQ MQTT broker.
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 and resilient end-to-end IoT solution.
Forward MQTT messages from IoT devices that are 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.
Why Choose HiveMQ to integrate MQTT data with Kafka?
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
Focus on your core business instead of using developer resources with data integration into enterprise applications and infrastructure like Apache Kafka.
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.
Learn how Rimac Technology Accelerates the Future of Connected Cars
Rimac Technology built a powerful connected car platform for the world’s most prestigious car manufacturers on the back of the HiveMQ MQTT platform and Kafka.
HiveMQ and Confluent
HiveMQ provides seamless integration with Confluent and Confluent Cloud via our HiveMQ Enterprise Extension for Kafka. Confluent is a company built on Apache Kafka and provides the following key features:
Cloud-native: Run Kafka at a massive scale with a modern, cloud-based experience that can reduce your TCO by up to 60%
Complete: Go way beyond Kafka with enterprise-grade tools to build apps quickly, reliably, and securely
Everywhere: Work with real-time events in the cloud, across multiple clouds, or on-premises
HiveMQ provides seamless integration with Aiven for Apache Kafka via our HiveMQ Enterprise Extension for Kafka. Aiven for Apache Kafka provides the following key features:
Set up a fully managed Kafka as a service in less than 10 minutes
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