
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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Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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RTX
The Keil RTX is a deterministic, royalty-free real-time operating system tailored for ARM and Cortex-M devices, enabling the development of applications that can handle multiple tasks concurrently, resulting in more organized and maintainable code. This RTOS comes with source code, allowing for greater flexibility in programming. While it is feasible to implement real-time applications without an RTOS by using a Super-loop to run one or more functions, doing so can lead to various challenges related to scheduling, maintenance, and timing, all of which are efficiently managed by the Keil RTX. For those interested in understanding the benefits of an RTOS compared to a Super-loop approach, a detailed comparison highlights the advantages of adopting an RTOS. Additionally, Keil RTX offers high-speed real-time operations with minimal interrupt latency and a compact footprint suitable for resource-limited systems. It supports an unlimited number of tasks, each capable of having up to 254 levels of priority, as well as an infinite number of mailboxes, semaphores, mutexes, and timers, making it an ideal choice for applications requiring multithreading and thread-safe functionality. Overall, the Keil RTX provides developers with a powerful toolset for creating efficient and robust real-time applications.
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QNX Neutrino RTOS
Since its inception in 1980, QNX has been the choice of thousands of enterprises seeking to implement real-time operating systems that deliver an optimal blend of performance, security, and reliability for their mission-critical operations. Central to QNX's innovation is the QNX Neutrino® Real-time Operating System (RTOS), which is a comprehensive solution that facilitates the development of next-generation products across various sectors where dependability is paramount, such as automotive, healthcare devices, robotics, transportation, and industrial embedded environments. Thanks to its microkernel architecture, QNX ensures that a failure in one component does not disrupt the operation of others or compromise the kernel, as the malfunctioning part can be simply halted and restarted without negatively impacting the overall system. The QNX Neutrino RTOS stands out by providing the determinism unique to real-time operating systems, employing methods like adaptive partitioning to ensure that essential processes receive the necessary processing cycles to perform their tasks promptly, all while sustaining the performance expectations of intricate embedded systems. This combination of features makes QNX Neutrino RTOS a preferred choice for developers looking to create robust and resilient applications. As technology continues to evolve, the adaptability of QNX's offerings ensures that they remain at the forefront of real-time operating system solutions.
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