Embiot Reviews

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.

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.

Develop sophisticated applications that enhance workflow efficiency, facilitate continuous operational oversight, and enable real-time process management. These innovative solutions are built to function around the clock on cloud infrastructure as well as edge devices. With an intuitive spreadsheet-like interface, you don't need programming skills; you can easily drag and drop data, input formulas, and generate charts effortlessly. All the necessary protocols for linking to sensors and machinery, such as MQTT, REST, and OPC UA, are conveniently provided. Streamsheets excels in handling streaming data, accommodating formats including MQTT and Kafka. You can choose a topic stream, make adjustments as necessary, and reintegrate it into the expansive realm of streaming data. Through REST, you unlock access to a wide range of web services, and Streamsheets ensures smooth bidirectional connections. Furthermore, Streamsheets can be utilized not only in cloud environments and on private servers but also on edge devices like Raspberry Pi, significantly enhancing their adaptability to diverse operational contexts. This inherent flexibility empowers companies to tailor their systems to meet specific operational demands, thereby optimizing overall performance.