4.5 out of 5 stars
(92 Ratings)
HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
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4.8 out of 5 stars
(97 Ratings)
Evocon is a cloud-based solution designed for monitoring production, assisting manufacturing firms in enhancing their operational efficiency.
By automating and digitizing the process of gathering data from production machines, Evocon ensures that this information is seamlessly transferred to the cloud, allowing manufacturers to access it in real-time, whether they are on-site or working remotely. Furthermore, the platform visualizes this data in a user-friendly manner, making it actionable for users. This capability enables manufacturers to monitor downtime, minimize costs, and optimize their production equipment usage effectively. Additionally, it provides a foundation for informed decision-making, highlighting where to allocate resources and identifying which areas require the most focus for improvement.
Through enhanced transparency, Evocon empowers organizations to chart a course based on their data insights. With over a decade of expertise in production monitoring, Evocon has been adopted in more than 50 countries and spans 14 diverse industries, all while offering support in 18 languages to cater to a global audience. This extensive reach underscores the platform's adaptability and effectiveness in various manufacturing environments.
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Bridgera Monitoring
The Industrial Internet of Things (IIoT) demands robust and tailored solutions like Bridgera Monitoring. This cutting-edge application, developed on Bridgera's comprehensive IoT platform, enables businesses of all sizes to effortlessly incorporate IoT into their manufacturing and industrial operations with exceptional scalability. Unlike typical industrial IoT solutions, Bridgera Monitoring is specifically designed to tackle the distinct challenges posed by various deployments and diverse industry use cases. As IoT technology grows increasingly essential in modern manufacturing, Bridgera Monitoring emerges as an intuitive and adaptable industrial IoT application that empowers organizations to monitor their devices in real time, thereby supporting informed, data-driven decision-making processes. Users benefit from the ability to oversee equipment through customized dashboards that display key performance indicators and data trends. Additionally, the platform provides detailed control over access permissions tailored to roles, organizations, or companies, allowing for significant customization and white-label branding options at every level. This ensures that each implementation is precisely aligned with the specific requirements of the user, ultimately enhancing operational efficiency and effectiveness. By prioritizing user needs, Bridgera Monitoring stands as a pivotal solution in the IIoT landscape, driving innovation and progress across industries.
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Siemens Industrial Edge
Siemens Industrial Edge is an industrial edge computing platform built to help manufacturers capture, process, and act on shop floor data in real time. It combines edge devices, applications, OT and IT connectivity, centralized management, and ecosystem solutions into one scalable platform. The solution is designed to make data and software management more efficient across factory environments while reducing IT effort and operational complexity. Industrial Edge allows manufacturers to connect machines, production systems, and enterprise applications so they can gain better visibility into operations. It supports data exchange with cloud platforms, IIoT SaaS tools, ERP systems, MES, SCADA systems, MQTT brokers, and other industrial data sources. The platform helps manufacturers standardize production data, monitor OEE, detect performance issues, and minimize downtime with real-time analytics. Its intelligent maintenance capabilities support predictive insights, proactive intervention, and more efficient resource planning through hybrid edge-cloud architectures. Siemens Industrial Edge also enables software-defined automation with virtualized control and HMI capabilities such as SIMATIC S7-1500V and SIMATIC WinCC Unified for Industrial Edge. Manufacturers can deploy AI models directly on the shop floor to support defect detection, process monitoring, workflow optimization, and quality improvement. Centralized management makes it easier to scale apps and devices across distributed locations while maintaining secure infrastructure and reliable software rollout. With its combination of edge computing, industrial connectivity, analytics, automation, and AI, Siemens Industrial Edge helps factories become more productive, flexible, and data-driven.
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