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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RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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Eclipse Mosquitto
Eclipse Mosquitto is an open-source message broker licensed under EPL/EDL that is crafted to accommodate multiple versions of the MQTT protocol, including 5.0, 3.1.1, and 3.1. This broker is remarkably lightweight, making it suitable for a diverse array of devices, ranging from low-power single-board computers to high-capacity server systems.
The MQTT protocol itself provides an effective mechanism for managing messaging via a publish/subscribe model, which is especially advantageous for Internet of Things applications, allowing for seamless communication with low-energy sensors or mobile devices such as smartphones and embedded systems.
Beyond the broker, the Mosquitto project also features a C library that aids in the development of MQTT clients, as well as popular command line tools, mosquitto_pub and mosquitto_sub, which significantly improve user engagement with the MQTT protocol. Furthermore, Mosquitto stands out as a flexible resource for developers seeking to establish messaging frameworks across a wide range of applications, ensuring comprehensive support for various communication needs.
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MQTTRoute
Introducing an MQTT Broker meticulously crafted to fulfill all your needs for implementing and expanding IoT applications. This platform boasts an efficient REST API, a rich dashboard equipped with customizable widgets, and a comprehensive data storage system, among others. Users are empowered to quickly gain insights into their IoT devices, tracking client connections and disconnections alongside vital data via multiple dashboard widgets. The system enhances user experience by offering alerts and color-coded indicators triggered by specific value thresholds. Additionally, it includes a powerful rules engine that transforms MQTT messages to streamline machine-to-machine communication automation, supporting both event-driven and timer-based rules, which allow users to identify data trends and automate relevant responses. For secure communications between devices, it employs a publish and subscribe messaging model reinforced by dual layers of security, featuring SSL/TLS encryption for connectivity and optional username/password authentication. Furthermore, robust web security measures are integrated for safe data access. To maintain high availability, the broker can function with multiple message brokers concurrently, ensuring efficient data collection and message distribution from devices. This architecture guarantees an impressive 99.99% success rate in data retrieval, providing reliability in the face of software challenges. Additionally, the system's adaptability facilitates effortless integration with a variety of IoT applications and services, making it an ideal solution for diverse deployment scenarios. Ultimately, this MQTT Broker stands out as a reliable and versatile choice for any IoT project.
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