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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Edgefinity IoT is an enterprise RFID and real-time tracking platform that helps organizations gain greater visibility into the people, products, assets, and processes moving throughout their operations. By connecting RFID readers, sensors, and other IoT devices, Edgefinity IoT automatically captures critical data and transforms it into real-time operational insight.
Organizations can track inventory, assets, tools, equipment, work-in-process, and personnel while using configurable rules, alerts, facility maps, and reporting to automate workflows and respond quickly to important events. From inventory and asset tracking to manufacturing visibility, order verification, safety, and mustering, Edgefinity IoT supports a wide range of RFID applications from a single platform.
With a hardware-agnostic architecture and cloud or on-premise deployment options, Edgefinity IoT can grow from a targeted RFID deployment into a scalable, enterprise-wide visibility platform.
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Thingsboard
ThingsBoard enhances device connectivity by utilizing popular IoT protocols like MQTT, CoAP, and HTTP, catering to both cloud-based and local deployments. It is designed with a focus on scalability, robustness, and outstanding performance, safeguarding your data effectively. Users can securely provision, monitor, and manage their IoT devices through extensive server-side APIs. The platform enables the seamless connection of devices, assets, customers, and other entities, simplifying integration. Telemetry data can be collected and stored effectively in a resilient and scalable manner. Users have the option to visualize their data through built-in or customized widgets, along with adaptable dashboards that can be shared with clients. Additionally, ThingsBoard allows for the creation of data processing rule chains, which help transform and standardize device data efficiently. Alerts can be triggered based on incoming telemetry events, attribute updates, device inactivity, and user interactions, further enhancing system responsiveness. To maximize scalability and fault tolerance, users can build a ThingsBoard cluster utilizing its microservices architecture. Furthermore, the platform supports both cloud and on-premises configurations, providing a flexible solution for diverse deployment requirements. This adaptability empowers users to customize their IoT implementations to meet specific needs and preferences, ensuring an optimal experience.
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One-IoT Device Management
Friendly's One IoT Device Management enables users to oversee a variety of IoT devices remotely, accommodating those with complex data models and limited functionalities through widely accepted protocols such as LwM2M, OMA-DM, MQTT, CoAP, TR-369 USP, and TR-069. This comprehensive solution supports automated setup and remote control of IoT devices, featuring an Admin Portal, a Technician Portal, a Quality of Experience (QoE) Dashboard, Business Intelligence (BI) tools, and Big Data Analytics, as well as a robust API for customizing vertical applications. Furthermore, Friendly provides an App generator module designed to streamline the development and updating of personalized applications, eliminating the need for programming expertise. In addition, Friendly's One-IoT™ Device Management can be implemented via private cloud, public cloud, or directly at the customer's location, offering the flexibility to meet diverse operational demands. This versatility empowers users to manage their IoT ecosystems effectively, tailoring their approach to align with specific infrastructure needs while ensuring optimal performance and efficiency.
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