
Details
- Name of the digital solution
- Waterstream
- Description
- Waterstream is an enterprise-grade, market-ready data streaming solution designed to bridge the gap between IoT ecosystems and enterprise event-driven architectures. By natively implementing the MQTT protocol directly on top of Apache Kafka, Waterstream eliminates the need for complex, multi-tiered translation layers or external brokers. It enables organizations to ingest, process, and stream massive volumes of IoT telemetry data in real-time with extreme efficiency, low latency, and high scalability. Built entirely in Europe, Waterstream addresses critical data sovereignty challenges for modern industries, smart cities, and critical infrastructures. Traditional IoT ingestion architectures frequently rely on proprietary, foreign cloud-based message brokers, exposing European organizations to third-party vendor lock-in and extraterritorial data access risks. Waterstream counters this by offering a fully sovereign infrastructure component that can be deployed on-premise, in private clouds, or within European sovereign cloud environments. The platform ensures absolute data sovereignty: all streaming data, operational metadata, and telemetry pipelines are processed and stored strictly within the EU/EFTA borders, operating exclusively under European jurisdiction and in full compliance with GDPR mandates. By enabling native end-to-end encryption and robust security protocols from the edge to the data center, Waterstream protects sensitive industrial and public-sector operational data. It provides European enterprises and government entities with a highly resilient alternative to foreign technologies, ensuring complete strategic autonomy over their real-time data integration lifecycles. With its operational maturity and proven deployment track record, Waterstream empowers users to unlock the value of real-time streaming analytics while maintaining absolute ownership, trust, and structural independence over their digital ecosystem.
Contact
Country:
Italy
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