Resources
Explore our technical guides, real-world use cases, and deep dives into building scalable, Kafka-native IoT infrastructures.
Whitepaper: Simplify your Data Integration at Scale with Waterstream
This whitepaper explores how Waterstream acts as an MQTT broker using Kafka as its sole persistence layer to seamlessly connect IoT clients with the Kafka ecosystem. The document details a stateless, scalable architecture designed to manage millions of connections while reducing infrastructure complexity and operational costs.
By bridging these technologies, organizations can transform raw sensor data into actionable insights through real-time processing and advanced AI integrations.
Waterstream in Action: IoT Use Cases
This guide explores how Waterstream bridges the gap between IoT devices and the Kafka ecosystem to drive operational excellence.
By leveraging a stateless, high-scalability architecture, it enables organizations to transform raw MQTT data into real-time insights across sectors like Industrial Maintenance, Smart Cities, and Digital Health.
Waterstream Demo
This session offers a technical deep dive into Waterstream’s unique architecture, which positions it as the premier choice for data-driven organizations by running as a native Kafka application.
You will discover how to streamline event streaming workflows and reduce operational overhead by consolidating your IoT and enterprise data into a single, scalable ecosystem. By leveraging this stateless, bidirectional integration, you can unlock the full potential of your infrastructure to support millions of concurrent connections in real-time.
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Request a demo or talk to our team to answer your questions.