StorPool is a software-defined storage solution that allows companies building public/private clouds to run data storage on standard x86 Intel®-powered servers. It is tailored for building fast and reliable cloud infrastructure with outstanding margins and can run alongside applications—converged or hyperconverged.
StorPool's block-level, high-performance storage system is used mainly as primary storage. It delivers all-flash performance, seamless scalability, and increased reliability. StorPool's intelligent storage software boosts performance and removes I/O and latency bottlenecks. It has advanced, fully distributed architecture and delivers unmatched performance, efficiency, scalability, and reliability. It can reduce total cost of ownership (TCO) up to 10 times.
StorPool at a glance:
Provides all-flash performance at lower than hybrid-system price.
Reduces TCO up to 80 percent—across the IT stack.
API-managed system with seamless and online scalability of capacity and performance.
Enables efficiency. StorPool uses your standard x86 servers and makes them act like a SAN or a hyperconverged appliance.
More reliable than RAID systems.
StorPool's storage systems scale easily beyond 1 PB in a single cluster with the performance of millions of IOPS and throughput of tens of Gbps per cluster. By default, the distributed storage software uses just two CPU cores and 16 GB RAM as standard to deliver 100,000 IOPS and 1 Gbps per server. Total latency of the system under moderate load is usually less than 0.3 millisecond, which makes it the prime solution for companies building clouds.
Currently StorPool has native support for Linux* with KVM, LXC, LVM, Docker, and any other technology compatible with the Linux stack. It is exposed through iSCSI as a standard SAN to other hypervisors and operating systems. StorPool is integrated with a variety of cloud management systems (OpenStack, CloudStack, OpenNebula, OnApp, libvirt, Proxmox). It also integrates through JSON API with custom cloud management solutions. It is compatible with any database and file system designed to work with a block device and also with cluster file systems.SHOW MORE