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What is Rocket Data Virtualization?

When data is spread across mainframes, on-prem systems, and cloud platforms, teams waste time reconciling numbers and waiting on complex integrations or migrations. Moving large datasets is costly and risky, and delays access to the information leaders need to make timely decisions. Rocket® Data Virtualization™ is a data virtualization and federated query solution for hybrid enterprises. It provides a governed, unified view of data across mainframe, distributed, and cloud sources—so users and applications can access and combine information in real time without copying or physically moving data. Key capabilities: • Unified virtual data layer (single logical view) across sources • Federated queries for BI/analytics and operational reporting • Centralized governance and security controls • Exposing legacy data to cloud apps via standard interfaces Results: faster time to insight, lower integration costs, and reduced migration risk.

What is Hammerspace?

Hammerspace is an innovative storage solution that unlocks the vast amounts of fast local NVMe storage inside GPU servers, turning what was previously stranded capacity into a new ultra-fast storage tier that accelerates AI training and checkpointing. Designed to overcome the limitations of expensive and complex legacy storage systems, Hammerspace enables consistently high GPU utilization by providing low-latency, parallel access to data across thousands of servers simultaneously. The platform’s global data architecture is built on standard NFS protocols, eliminating the need for proprietary clients and simplifying integration with existing Linux storage servers and hybrid cloud environments. By orchestrating data movement between on-premises and cloud infrastructure, Hammerspace supports flexible AI workflows that maximize resource usage and minimize power consumption. Hammerspace has been proven through MLPerf benchmarks to deliver scalable, linear performance gains, dramatically speeding up checkpointing times by 10 to 100 times. Trusted by industry leaders like Meta and Los Alamos National Laboratory, it helps reduce external storage costs, power usage, and rack space requirements. The platform’s intuitive interface and rapid deployment allow organizations to bring petabytes of capacity online within days and start accelerating AI workloads immediately. Its hyperscale NAS architecture ensures consistent throughput and low latency at scale, critical for large machine learning projects. By transforming idle GPU server storage into a shared, protected resource, Hammerspace redefines cost efficiency and performance in AI infrastructure. This technology empowers data-driven organizations to innovate faster, reduce their energy footprint, and optimize their AI investment returns.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Google Cloud Platform
IBM Cloud
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Google Cloud Platform
IBM Cloud
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rocket Software

Date Founded

1990

Company Location

United States

Company Website

www.rocketsoftware.com/product-categories/data-virtualization

Company Facts

Organization Name

Hammerspace

Date Founded

2018

Company Location

United States

Company Website

hammerspace.com

Categories and Features

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Disaster Recovery

Administration Policies
Bare-Metal Recovery
Encryption
Failover Testing
Flexible Data Capture
Multi-Platform Support
Multiple Data Type Support
Offline Storage

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