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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QuantaStor
QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.
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iXsystems iX Series
The iXsystems iX Series comprises a range of enterprise-level rackmount servers engineered to provide dependable performance, adaptability, and scalability suitable for diverse workloads. Among the lineup is the iX-1104A, which boasts a compact 1U form factor, a single Intel Xeon E-2300 processor, and four DIMM slots accommodating up to 128GB of memory, along with dual 1GbE network interfaces. This model also offers a variety of storage solutions, featuring two drive bays that support SATA/SAS/NVMe configurations and an additional two SATA/SAS bays for extended capacity. Furthermore, it includes PCI-E 4.0 slots and an M.2 slot, ensuring ample opportunities for expansion and customization tailored to specific deployment requirements. Altogether, the iXsystems iX Series servers are crafted to deliver outstanding performance and efficiency, making them well-suited for the demands of contemporary data centers and IT infrastructures, thereby enhancing operational effectiveness.
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QCT STRATOS
QCT (Quanta Cloud Technology) offers the STRATOS series, a robust lineup of hyperscale, software-defined data center solutions tailored to accommodate the dynamic needs of cloud computing, storage, and networking tasks. This series features an array of server types, such as rackmount, blade, and multi-node configurations, providing adaptable and customizable setups to suit various deployment scenarios. Prioritizing energy efficiency, high density, and scalability, QCT STRATOS servers are specifically engineered for large-scale data centers, cloud service providers, and high-performance computing (HPC) settings. Among the standout attributes of the STRATOS series are compatibility with cutting-edge Intel or AMD processors, extensive memory configurations, flexible storage capabilities, and advanced thermal management systems for peak performance. Additionally, these servers facilitate straightforward management and seamless integration with software-defined infrastructure, enhancing overall IT operations and efficiency. With their innovative design and powerful features, QCT's STRATOS servers are positioned to meet the future challenges of an ever-evolving technological landscape.
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