Hammerspace

Hammerspace is a data orchestration and global file system vendor that provides software for unifying, managing, and accessing unstructured data across on-premises (on-prem) and cloud environments.

• Global data environment software for unstructured data across data centers and clouds (data management)
• Global file system enabling a single namespace and data access across heterogeneous storage (file storage / Network Attached Storage (NAS) virtualization)
• Metadata-driven data orchestration for policy-based data placement, protection, and lifecycle management (data orchestration)
• Support for hybrid and multi-cloud deployments with data mobility between on-prem infrastructure and public clouds (hybrid cloud data services)
• Workload-focused data access for use cases such as High performance computing (HPC), media, and AI/ML pipelines (data infrastructure for workloads)

More About Hammerspace

Hammerspace develops software platforms that present a global data environment for enterprise unstructured data, targeting IT organizations that operate across on-prem data centers and multiple public clouds. Its core approach centers on separating the control and metadata layer from the underlying storage systems, so that data can be organized and accessed through a single global namespace regardless of where files are physically stored. Enterprises use Hammerspace to support distributed teams and applications that need consistent file access and policies across heterogeneous storage infrastructure.

The company’s global file system (file storage / NAS virtualization) is designed to run over existing storage investments, including NAS, object storage, and cloud file services. By virtualizing these resources into one logical system, Hammerspace enables administrators to apply uniform access controls, data placement rules, and protection policies. This design targets environments where data sets span multiple sites, such as primary data centers, edge locations, and cloud regions, and where applications require POSIX-compliant file access along with integration into existing workflows.

Hammerspace’s data orchestration capabilities (data orchestration) are based on a metadata-driven architecture. The platform harvests and manages metadata about files and objects so that policies can be applied without needing to move data unnecessarily. Policy engines can automate data placement based on performance, cost, geography, or compliance requirements, and handle tasks such as tiering data between flash, disk, and cloud object stores. This model aims to reduce manual storage administration and to align storage behavior with application and business rules.

In hybrid and multi-cloud scenarios (hybrid cloud data services), Hammerspace enables data mobility between on-prem storage and public cloud providers while maintaining a consistent namespace. This supports workload migration, burst-to-cloud patterns, backup or archive to object storage, and cross-region collaboration. Data is presented through standard protocols, including NFS and Server Message Block (SMB), which allows existing applications and file-based workflows to access data without modification. Hammerspace also supports Kubernetes integration for containerized workloads that need access to shared files across clusters and locations.

Enterprises deploy Hammerspace to support use cases such as HPC, media and entertainment, Artificial Intelligence (AI) and Machine Learning (ML) pipelines, and other data-intensive workloads (data infrastructure for workloads). In these scenarios, the software coordinates access to large shared data sets, enabling compute resources in different locations or clouds to work on the same files. Compared with traditional siloed NAS systems, Hammerspace positions its offerings as a way to unify and automate data services across platforms, focusing on global file access, policy-based orchestration, and infrastructure abstraction.

In directory and marketplace taxonomies, Hammerspace aligns with categories including file storage and NAS virtualization, unstructured data management, data orchestration, hybrid and multi-cloud data services, and infrastructure for data-intensive workloads. Its offerings are addressed to enterprise architects, infrastructure operations teams, and platform engineers who need to coordinate unstructured data across diverse storage and compute environments.