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Average Ratings 0 Ratings
Description
IBM Storage Scale is an innovative software-defined solution for file and object storage, allowing organizations to create a comprehensive global data platform tailored for artificial intelligence (AI), high-performance computing (HPC), advanced analytics, and other resource-intensive tasks. In contrast to traditional applications that typically manage structured data, current high-performance AI and analytics operations are focused on unstructured data types, which can include a variety of formats such as documents, audio files, images, videos, and more. The software delivers global data abstraction services that efficiently unify various data sources across different geographic locations, even integrating non-IBM storage systems. It features a robust massively parallel file system and is compatible with a wide range of hardware platforms, comprising x86, IBM Power, IBM zSystem mainframes, ARM-based POSIX clients, virtual machines, and Kubernetes environments. This versatility enables organizations to adapt their storage solutions to meet diverse and evolving data management needs. Furthermore, IBM Storage Scale's ability to handle vast amounts of unstructured data positions it as a critical asset for enterprises aiming to leverage data for competitive advantage in today's digital landscape.
Description
The rapid expansion of consumer data over the last ten years is now being eclipsed by a remarkable surge in business data, creating both unique opportunities and significant challenges for companies and cloud service providers alike. This situation necessitates a revolutionary approach to developing and scaling storage infrastructure. Our vision for this evolution is embodied in the Infinidat Elastic Data Fabric, which reimagines enterprise storage, transitioning from conventional hardware appliances to flexible, high-performance pools of digital storage that are both highly reliable and cost-effective, with effortless data mobility across data centers and public cloud environments. Today, professionals in various industries are grappling with a similar challenge due to the wave of digital transformation influencing their operations. As traditional hardware-based storage solutions are becoming prohibitively expensive and increasingly difficult to manage, they also fall drastically short of the requirements for the data-centric future. Consequently, it is imperative for these systems to transform into innovative software-defined on-premises enterprise storage clouds to meet the demands of the evolving digital landscape. This shift not only enhances efficiency but also positions organizations to better harness the power of their data.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Azure Marketplace
Google Cloud Platform
IBM Fusion
Microsoft Azure
Otava
Quantum VS-NVR Series
The Thrive Platform
Integrations
Amazon Web Services (AWS)
Azure Marketplace
Google Cloud Platform
IBM Fusion
Microsoft Azure
Otava
Quantum VS-NVR Series
The Thrive Platform
Pricing Details
$19.10 per terabyte
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/storage-scale
Vendor Details
Company Name
Infinidat
Founded
2011
Country
Israel
Website
www.infinidat.com/sites/default/files/resource-pdfs/Infinidat%20Elastic%20Data%20Fabric%20White%20Paper.pdf
Product Features
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management