StorPool

StorPool is distributed data storage software that enables businesses to handle data reliably and efficiently. It is a highly powerful software-defined storage system featuring advanced storage capabilities, including thin provisioning, data integrity, snapshots and clones, Quality of Service (QoS), self-healing, load balancing, and more. StorPool creates shared storage pools using standard drives (HDD/SSD) housed in standard servers. It functions like a virtual SAN, aggregating the performance and capacity of all drives into a single storage pool distributed across all servers. It supports what is known as "converged deployment," where the same servers are used for both storage and computing, allowing data centers to adopt a single standardized "building block" and significantly reduce costs. An extension of this concept is the tight integration of software layers (hypervisors, cloud management, etc.) running on this converged infrastructure, referred to as "hyperconverged" or "hyper-converged" infrastructure. One storage solution for all your workloads and environments. StorPool offers an innovative approach to data storage. **Unmatched Storage Performance** **Exceptional Application Performance** **Simplicity Every Step of the Way** **Better Uptime and Service Availability** **Flexibility and Seamless Scalability** **Outstanding Support** You can seamlessly scale the entire cluster by simply adding more drives or servers. This expands both capacity and performance. Volumes and file systems on StorPool can be expanded online without interrupting the service itself. In addition to integrating with OpenStack, CloudStack, OnApp, and OpenNebula, StorPool is compatible with nearly all technologies in the Linux stack. It also integrates with/supports Xen, XenServer, LVM, Docker, Kubernetes, LXC, libvirt, Proxmox (to name just a few common ones).

Storpool is a distributed software-defined storage solution that aggregates hard drives from standard servers into a shared storage pool, helping businesses reliably and efficiently process data while supporting hyper-converged deployments to improve efficiency, reliability, and scalability.