Simplify your MQTT Data Integration at Scale

Waterstream turns your Kafka-compatible platform into a full-fledged MQTT broker. Connect millions of clients to your data streaming platform with no code, no integration pipelines, and no additional storage.

IoT scalability without compromise

Waterstream is an MQTT broker that uses Kafka as its sole persistence layer, seamlessly connecting MQTT clients with the Kafka ecosystem. 

This integration enables the consolidation of IoT data streams with Kafka’s robust architecture, facilitating real-time processing, enhanced data accessibility, and flexible scalability. As a result, companies can gain actionable insights and make more responsive decisions based on data flowing from various connected devices.

With its stateless, multi-cloud compatible design, Waterstream simplifies IoT data management, reducing infrastructure complexity and operational costs.

MQTT and Kafka

Waterstream revolutionizes the integration between Kafka and the IoT world by introducing a Confluent-verified native MQTT integration.

Unlike traditional solutions, it requires no additional components: the Waterstream broker operates as a fully stateless, native Kafka application, connecting directly through the cluster’s producers and consumers. 

This design eliminates the need for extra storage by saving MQTT client data directly into Kafka: every message, session, and subscription from MQTT clients is persisted directly as an event within Kafka topics.

Why Waterstream?

Waterstream is not just a connector; it is a full-featured MQTT broker that uses Kafka as its sole persistence layer. 

Adopting Waterstream provides both architectural and operational advantages, definitively bridging the gap between IoT connectivity and enterprise data streaming.

Massive Data Volume:

MQTT-based applications and IoT devices generate enormous amounts of data. An efficient transport system ensures this data reaches processing systems quickly and reliably.

Real-Time Decision Making:

Many MQTT-based applications (e.g., IoT, smart cities, autonomous vehicles) require real-time data. Delays in transporting data can lead to missed opportunities or system failures.

Bandwidth and Resource Optimization:

Efficient data transport minimizes network congestion and optimizes bandwidth, reducing costs and improving overall system performance.

Data Integrity and Security:

A reliable transport mechanism ensures that data remains intact and secure during transmission, preventing losses and protecting against cyber threats.

Scalability:

As IoT networks grow, an efficient transport system is critical for scaling operations without overwhelming processing systems or degrading performance.

Use Cases

Predictive Monitoring for Industrial Maintenance

Production Optimization and Quality Control

Energy Efficiency and Smart Grid Management

Supply Chain and Logistics Optimization

Retail and Customer Experience Personalization

Smart Cities and Intelligent Mobility Management

Smart Farming and Precision Agriculture

Digital Health and Health Monitoring

Inventory Optimization and Demand Forecasting

Fraud Detection and Transaction Security

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