The MQTT Platform at scale
Waterstream is the first and the only MQTT platform on the market leveraging any Kafka® compatible platform as its own storage and distribution engine. Every incoming MQTT message is immediately available in your microservices architecture or analytics platform without further processing. Vice-versa, to send messages to the MQTT client, write them to Kafka topics. There’s more. All the necessary MQTT state, like subscriptions and QoS message status, is also stored in Kafka—no need for additional storage or integration services.
Easy to scale
Scale to thousands of server instances, scale from hundreds of thousands to millions of IoT connected devices.
DetailsFully reliable
Responsive, resilient and elastic. Fault tolerance guaranteed through stateless sessions behind a load balancer.
DetailsIncredibly simple
No man in the middle. No extra MQTT brokers to manage. No integration pipelines to develop. It transparently works within your Kafka cluster.
DetailsSecure by design
Designed from the foundation to be secure.
Get ours or choose your own IAM system.
DetailsGet ours or choose your own IAM system.
Integrated observability
Use our integrated logging (ELK) and monitoring (Prometheus) capabilities. Nevertheless you can still plug your own.
DetailsRun everywhere
On premise, in cloud, virtual or bare metal? SAS? No problem! Pick the one the best suites you... we comply
DetailsUse the Kafka platform you like
Waterstream can work with any Kafka® compatible platform in cloud, on premise or at the edge. Moreover, Waterstream is a Confluent Verified Integration. This means that Confluent engineers assessed that Waterstream can operate together with the Confluent platform and meets standard quality and functionality requirements.
Online demo
If you want to see one example of use case in action, check out our simulated vehicle fleet to see how easy is to integrate IoT devices with Apache Kafka with Waterstream. In this demo we’ll show you thousands of simulated Heavy Goods Vehicles sending travel data to Kafka using MQTT, simple kSQL queries directly on MQTT data and a nice integration of Waterstream with Grafana using Prometheus.
