The Role of Waterstream in an AI-ready Data Ecosystem
The enthusiasm for LLMs and predictive analytics has often obscured a fundamental truth: artificial intelligence is only as good as the data infrastructure that powers it. Many companies hit an…
Unified Namespace and Waterstream: How to Transform Industrial Data Architecture
The Unified Namespace (UNS) architecture is a modern approach to industrial data management (IIoT) that aims to overcome the rigidity of the traditional automation pyramid (ISA-95 model). Instead of having…
MQTT Beyond IoT: Where Protocol Efficiency Becomes a Competitive Advantage
When we talk about MQTT, we immediately think of the sensors, smart cities, and connected devices that define the IoT landscape. This is only natural: MQTT was designed for these…
From Sensor to Artificial Intelligence: Simplifying Large-Scale IoT Integration
The evolution of digital ecosystems makes data management a central strategic challenge. For companies aiming to fully leverage the Internet of Things (IoT) and Artificial Intelligence (AI), the ability to…
Kafka vs. IoT: Why It Doesn’t Work and the new Solution
We often observe companies using Kafka for IoT just because it's a 'standard.' But what happens when this 'standard' only adds unnecessary complexity, high costs, and stringent constraints to your…
Waterstream Offers Cloud MQTT Broker Through AWS Marketplace
By extending its relationships with Amazon AWS cloud platform provider Waterstream is making it easier for partners and customers to build and operate high-performance IoT applications in hybrid-cloud environments. Waterstream…
Waterstream now supports ARM
We're happy to announce that starting from version 1.0.17 Waterstream also provides an ARM-compatible Docker image. Use simplematter/waterstream-kafka-arm64v8-minified image if you want to run it on ARM CPU (such as…