
Denodo is a logical data management platform built to help enterprises unify, govern, and deliver trusted data across complex technology environments. It connects data from cloud, on-premises, SaaS, third-party, and multi-cloud systems without copying or duplicating the information. The platform gives organizations a single trusted view of distributed data, helping analytics teams, business users, and AI agents access current information more efficiently. Denodo supports trustworthy agentic AI by combining live data access with business semantics, centralized governance, compliance controls, and lineage. Its self-service data marketplace allows users to find, prepare, and use governed data while reducing dependence on IT teams. The platform also supports natural language search, personalized data delivery, and role-specific views so users can get data with the right business meaning. Denodo helps organizations improve data lakehouse investments by giving teams optimized access to data beyond a single repository. Its real-time delivery capabilities help operations, analytics, and AI systems make decisions based on current information instead of stale copies. By reducing integration time and improving time-to-insight, Denodo gives enterprises a trusted data foundation for AI, analytics, and digital transformation.
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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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StorPool Storage
StorPool provides a fully managed primary storage platform that businesses can use to host mission-critical workloads from their own datacenters. We make it easy to convert standard servers with NVMe SSDs to high-performance, linearly scaling primary storage systems. StorPool is a superior alternative for high-end SANs or All-Flash Arrays (AFA) and mid-range SANs for companies building private or public clouds. StorPool is more reliable, agile, faster, and more cost-effective than other primary storage products. It is a great replacement for legacy storage architectures such as mid- or high-end primary arrays. Your cloud computing offering will deliver exceptional performance, reliability, and a higher ROI.
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xiRAID
xiRAID represents a cutting-edge RAID solution tailored for the demands of contemporary storage architectures, especially those leveraging NVMe and NVMe-over-Fabrics (NVMe-oF) technologies. This innovative approach eliminates the need for conventional hardware RAID controllers, opting instead for a software-centric model that not only enhances performance but also reduces overall ownership costs and increases operational flexibility. It accommodates both locally connected drives and networked NVMe devices, functioning as a cohesive block device accessible to applications without requiring any changes. Designed to reach performance levels close to hardware capabilities, xiRAID employs sophisticated methods such as I/O parallelization and a lockless datapath, achieving impressive throughput rates of up to 150 GB/s, handling up to 30 million IOPS, and maintaining latency under 0.5 ms, all while utilizing minimal CPU and memory resources. Supporting a diverse variety of RAID configurations, including levels 0, 1, 5, 6, 10, 50, 60, and 70, it integrates seamlessly with existing file systems through compatibility with POSIX APIs. Ultimately, xiRAID stands out as a versatile and efficient solution, poised to meet the evolving needs of data-intensive applications.
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