StorPool
StorPool is a software-defined block storage platform for building primary storage systems on commodity server hardware in cloud and virtualized data center environments.
- Distributed, software-defined block storage for primary workloads in virtualized and cloud infrastructures (data storage).
- Converged and disaggregated deployment models on standard x86 servers with local drives (infrastructure software).
- Support for Linux-based environments, hypervisors, and cloud management platforms such as Kernel-based Virtual Machine (KVM) and OpenStack (cloud infrastructure).
- Advanced data management features including data redundancy, snapshots, thin provisioning, and asynchronous replication (data protection).
- Professional services for design, deployment, migration, and operations of StorPool-based storage clusters (IT services).
More About StorPool
StorPool provides software-defined block storage that aggregates local drives in standard x86 servers into a unified, shared storage pool for primary workloads in private and public cloud environments. The platform targets service providers, enterprises, and other organizations that deploy virtualized and containerized infrastructure and require shared, resilient block storage without proprietary storage arrays.
The StorPool storage software runs on Linux and is designed to be deployed either in a fully converged architecture, where storage services run on the same nodes as compute workloads, or in a disaggregated model with dedicated storage nodes. By using commodity servers and a mix of HDDs, SSDs, and Non-volatile Memory Express (NVME) drives, StorPool forms a distributed storage cluster that presents block devices to client systems over the network. This aligns the platform with data storage and cloud infrastructure categories in enterprise IT taxonomies.
StorPool integrates with virtualization and cloud orchestration platforms such as KVM-based stacks and OpenStack (cloud infrastructure), where it provides persistent volumes for virtual machines and cloud instances. The platform exposes block storage through standard protocols and client components, enabling integration with existing Linux infrastructures and hypervisors. In these environments, StorPool is used as a shared storage layer for compute clusters, supporting multi-tenant and multi-workload deployments for service providers and enterprise IT teams.
From a data management perspective, StorPool includes features such as synchronous data replication across multiple drives and nodes for redundancy, snapshots for point-in-time copies of volumes, thin provisioning for capacity efficiency, and asynchronous replication for Disaster Recovery (DR) scenarios (data protection). These capabilities position StorPool as an alternative to SAN and traditional hardware storage arrays, while remaining in the software-defined storage category. The system is designed to maintain data availability in the presence of hardware failures through distributed redundancy and automatic data rebalancing.
StorPool also provides professional services that cover architecture design, deployment, migration from existing storage platforms, and ongoing operational assistance. These services are aimed at organizations that want to build or modernize cloud and virtualized infrastructures using software-defined storage. In an enterprise directory or marketplace, StorPool fits within categories such as software-defined storage, block storage for cloud and virtualization platforms, and data protection through replication and snapshots, with associated consulting and implementation services.