Hammerspace for Hybrid Cloud Environments
Enable Seamless Data Access and Mobility Across Data Centers and Clouds

Fragmented Data Silos Can Undermine Your Hybrid Cloud
For many organizations, hybrid cloud is less of a strategy than a fragmented reality. Data is scattered across on-premises systems and multiple cloud environments.
Massive datasets create data gravity, meaning they can be difficult and expensive to move. But the real challenge is not movement itself, it’s access. When data is tied to specific locations, compute becomes constrained by where that data lives.
Slow Workload Migration: A workload can move quickly to new compute in the cloud, but data access can lag behind, delaying or limiting workload migrations.
Invisible or Inaccessible Unstructured Data: Data created in one environment is often inaccessible to Cloud applications running in another without copying or building replication pipelines.
Loss of Visibility: Disconnected data silos make it difficult to enforce consistent governance, protection, and access policies across environments..
Slow Storage Performance: Achieving storage performance in the cloud often requires duplicating data into higher-cost storage tiers, increasing complexity and cost
Key challenges include:
Your Data, Available Anywhere
By separating data from the underlying storage infrastructure, Hammerspace creates a global file system that spans storage systems, tiers, and environments. Silos are eliminated and data orchestration becomes non-disruptive. Data stays in place, while access becomes global.





Unified Data Plane
Automated Data Services
Accelerated Data Orchestration
Silo-less Data Storage
Hybrid Cloud Reframed
Extending workloads to the cloud introduces a different challenge. As data is moved and duplicated to support those workloads, it exposes existing fragmentation across environments, where data is distributed, access is inconsistent, and connectivity or permissions from cloud environments are incomplete. .
Hammerspace changes this model by extending a single global file system across data centers and cloud. Data can be accessed immediately in a unified global namespace, and only the data required by a workload is moved or placed as needed. This removes the dependency between data location and compute, enabling true flexibility across environments without bulk migration of duplication.
Workloads are no longer constrained by where data resides, and data is no longer forced to move before it can be used.
