Hammerspace for Hybrid Cloud Environments
One data platform. Across data centers and cloud.
Transform your data into a single pool of resources available anywhere
Enable Seamless Data Access and Mobility Across Data Centers and Clouds
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
Hammerspace transforms fragmented data environments into a single, unified data layer that spans data centers and the cloud. Data becomes accessible across environments without requiring bulk migration or changes in workflow.
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.
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.
AWS
Azure
GCP
OCI
Unified Data Plane
Multi Protocol Access • On-prem and Cloud • Data In Place Access
Automated Data Services
Actionable Metadata • Objectives-based Policies • Data Protection
Accelerated Data Orchestration
Moves data to high-performance, other tiers, sites, and clouds
Silo-less Data Storage
High-Performance AI Storage • File • Object • Cloud • 3rd Party
On-Prem Storage
Traditional cloud storage gateways rely on caching, synchronization, data replication, and protocol translation. Hammerspace eliminates these layers by exposing a single file system across protocols. Applications using NFS, SMB, or S3 access the same data in place, without staging duplication, or workflow changes.
Hammerspace orchestrates data placement to ensure compute can access the data it needs across on-premises and cloud environments. This removes the dependency between data location and compute, so workloads are not trapped by data gravity in the cloud or on-premises, and can run where it makes the most sense for cost, performance, and control.
Hybrid Cloud Reframed
Cloud Bursting handles peak demand by temporarily shifting compute to the cloud. In practice, this model is often limited by data. If data must be copied or staged before workloads can run, the speed and economic benefits of bursting break down.
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.
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.
The Hybrid Cloud Reframed
Cloud Bursting handles peak demand by temporarily shifting compute to the cloud. In practice, this model is often limited by data. If data must be copied or staged before workloads can run, the speed and economic benefits of bursting break down.
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.
The Hammerspace Advantage
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.
Use Cases
Common ways organizations use Hammerspace to operate across data centers and cloud:
Use Cases
Common ways organizations use Hammerspace to operate across data centers and cloud:
Extending to Cloud
Workloads can run in the cloud or on-premises with consistent access to the same data. Data does not need to be migrated in advance and remains accessible on-premises as workloads evolve.
Cloud Bursting
Compute resources can be used in the cloud when needed without requiring bulk data movement. Hammerspace provides unified access to both cloud storage and on-premises storage enabling flexible use of cloud resources without duplication or delay.
Disaster Recovery
Maintain business continuity with a global file system. Data remains accessible across environments, and policies ensure availability from alternative locations or cloud instances without requiring separate copies or manual failover processes. If one site goes down, data policies can ensure files remain accessible from alternative locations or cloud instances.
Cost & Lifecycle Optimization
Automatically place data across storage tiers and cloud environments based on cost, performance, and policy. Cold data can move to lower-cost storage while remaining visible and accessible through the global namespace.
Multi-Site Collaboration
Enable distributed teams to work on shared datasets across locations and clouds as if they were local. Hammerspace maintains global file consistency while users access data through standard SMB, NFS, and S3 protocols, without proprietary clients or workflow changes.
Built for Hybrid Environments Without Adding Complexity
Unified Global Namespace
Access all unstructured data across NAS, object storage, and cloud environments through a single namespace using standard protocols.
Run Across Any Cloud Without Lock-In
Run across any cloud platform or on premises environment, moving data as needed to optimize for cost, performance, or sovereignty requirements without changing workflows.
Run Workloads Across Environments
Run applications in the cloud or on-premises with direct access to the same data, without requiring bulk migration or duplication. Only the data required by the workload is accessed or placed, reducing unnecessary data movement and associated egress costs.
Consistent Data Everywhere
Ensure users and applications see the same data across locations and cloud environments with consistent file access and behavior.
Eliminate Duplicate Data
Eliminate duplicate datasets and manual synchronization by enabling users and applications to access the same logical data regardless of where it resides.
Automatically Place Data where it Belongs
Data is placed automatically based on performance, cost, and policy, without manual intervention or disruption to applications.
Why Hammerspace?
Most hybrid cloud solutions require copying, staging, or rehydrating data to make it usable across environments. These approaches introduce latency, increase costs, and create additional layers of complexity. Hammerspace takes a different approach. Our parallel global file system provides a unified global namespace across NAS, object storage, and cloud environments. Data is placed dynamically based upon performance, cost, and policy. Frequently accessed data can reside close to compute resources, while colder data is automatically placed on lower-cost storage tiers without disrupting access.
Standards-Based Architecture
Built on open standards, Hammerspace provides multi-protocol access to a unified global namespace through NFS v4.2 / pNFS, SMB, and S3. Users and applications access data across all sites and clouds using these familiar interfaces, without needing proprietary client software or changes to existing workflows.
Ready to Unify Your Hybrid Cloud?
See how Hammerspace can unify all your data, accelerate your AI workloads, and deliver results faster.
Get StartedHammerspace for Public Sector
Unify Siloed Data, Modernize Infrastructure, and Power Mission-Critical AI/ML and HPC Workloads with a High-Performance Data Platform
