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What is Odaseva?

The Odaseva platform is specifically designed to assist large Salesforce clients in effectively managing all three critical facets of data handling. It guarantees that customer information is kept secure, unchanged, and easily accessible through its strong backup and archiving solutions. By enabling users to take full control of their data lifecycle, it proactively tackles privacy compliance issues from the start. Users can effortlessly move data between production and non-production environments, including sandboxes and external applications. Effective management relies heavily on visibility; Odaseva Advanced Analytics delivers comprehensive insights into the behavior of your data. This feature empowers users to track broad metrics such as API usage and data storage while also monitoring specific details, like the restoration of individual records, on the Odaseva platform. This extensive oversight ultimately empowers businesses to make strategic decisions and refine their data management approaches for better outcomes. Through these capabilities, organizations can not only enhance their operational efficiency but also ensure alignment with regulatory requirements.

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)
Salesforce

Integrations Supported

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

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Odaseva

Date Founded

2012

Company Location

United States

Company Website

www.odaseva.com

Company Facts

Organization Name

Hammerspace

Date Founded

2018

Company Location

United States

Company Website

hammerspace.com

Categories and Features

Data Governance

Not specified

Disaster Recovery

Not specified

SaaS Backup

Not specified

Categories and Features

Data Management

Not specified

Data Virtualization

Not specified

Disaster Recovery

Not specified

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