RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Epicor Connected Process Control
Epicor Connected Process Control provides a simple-to-use software solution that allows you to configure digital work instructions and enforce process control. It also ensures that operations are error-proof. Connect IoT devices to collect 100% time studies and process data, images and images at the task level. Real-time visibility and quality control on a new level! eFlex can handle any number of product variations or thousands of parts, whether you are a component-based or model-based manufacturer. Work instructions can be linked to Bill of Materials, ensuring that products are built correctly every time, even if changes are made during the process. Work instructions that are part a system that is advanced will automatically react to model and component variations and only display the right work instructions for what's currently being built at station.
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Amazon FreeRTOS
FreeRTOS is a real-time operating system that is open source and tailored for microcontrollers, simplifying the programming, deployment, security, connectivity, and management of small, low-power edge devices. Available at no cost under the MIT open source license, FreeRTOS features a kernel alongside an expanding array of software libraries that cater to various industries and applications. This system allows seamless and secure integration of compact, low-energy devices with AWS Cloud services, such as AWS IoT Core, as well as with more robust edge devices running AWS IoT Greengrass. Designed with a focus on both reliability and user-friendliness, FreeRTOS provides the assurance of long-term support releases, making it an attractive choice for developers. Microcontrollers, which are characterized by their simple and resource-limited processors, can be found in a diverse range of products, from home appliances and sensors to fitness trackers, industrial automation systems, and vehicles. As the demand for efficient and manageable IoT solutions grows, FreeRTOS remains a crucial tool for developers working in this expanding field.
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Mbed OS
Arm Mbed OS is an open-source operating system tailored for IoT applications, providing all the essential tools for creating IoT devices. This robust OS is equipped to support smart and connected products built on Arm Cortex-M architecture, offering features such as machine learning, secure connectivity stacks, an RTOS kernel, and drivers for various sensors and I/O devices. Specifically designed for the Internet of Things, Arm Mbed OS integrates capabilities in connectivity, machine learning, networking, and security, complemented by a wealth of software libraries, development boards, tutorials, and practical examples. It fosters collaboration across a vast ecosystem, supporting over 70 partners in silicon, modules, cloud services, and OEMs, thereby enhancing choices for developers. By leveraging the Mbed OS API, developers can maintain clean, portable, and straightforward application code while benefiting from advanced security, communication, and machine learning functionalities. This cohesive solution ultimately streamlines the development process, significantly lowering costs, minimizing time investment, and reducing associated risks. Furthermore, Mbed OS empowers innovation, enabling developers to rapidly prototype and deploy IoT solutions with confidence.
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