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Average Ratings 0 Ratings
Description
GlusterFS is an adaptable network filesystem designed for high-demand applications, including cloud storage solutions and media streaming. This software is both free and open source, making it compatible with readily available hardware. It functions as a scalable, distributed file system that merges storage resources from various servers into a unified global namespace. Organizations have the flexibility to expand their capacity, performance, and availability as needed without being tied to a specific vendor, whether they operate on-premises, in the public cloud, or in hybrid settings. Many organizations across diverse sectors such as media, healthcare, government, education, web 2.0, and financial services have adopted GlusterFS for their production environments. The system is capable of scaling to several petabytes and efficiently managing thousands of clients while ensuring POSIX compatibility. It operates on standard commodity hardware and supports any on-disk filesystem that allows extended attributes. Furthermore, GlusterFS can be accessed via widely-used protocols like NFS and SMB, and it offers essential features including replication, quotas, geo-replication, snapshots, bitrot detection, and much more, ensuring data integrity and availability. Its versatility and robust capabilities make it a preferred choice for organizations looking to optimize their data storage solutions.
Description
The convergence of high-performance computing (HPC) and machine learning is placing unprecedented requirements on storage solutions, as the input/output demands of these two distinct workloads diverge significantly. This shift is occurring at this very moment, with a recent analysis from the independent firm Intersect360 revealing that a striking 63% of current HPC users are actively implementing machine learning applications. Furthermore, Hyperion Research projects that, if trends continue, public sector organizations and enterprises will see HPC storage expenditures increase at a rate 57% faster than HPC compute investments over the next three years. Reflecting on this, Seymour Cray famously stated, "Anyone can build a fast CPU; the trick is to build a fast system." In the realm of HPC and AI, while creating fast file storage may seem straightforward, the true challenge lies in developing a storage system that is not only quick but also economically viable and capable of scaling effectively. We accomplish this by integrating top-tier parallel file systems into HPE's parallel storage solutions, ensuring that cost efficiency is a fundamental aspect of our approach. This strategy not only meets the current demands of users but also positions us well for future growth.
API Access
Has API
No
API Access
Has API
No
Integrations
Automai Robotic Process Automation
No
Check Point IPS
No
Check Point Infinity
No
KubeSphere
Yes
Migrateq
Yes
Pavilion HyperOS
Yes
SQLXPress
No
XYGATE Identity Connector
No
XYGATE SecurityOne
No
Integrations
Automai Robotic Process Automation
Yes
Check Point IPS
Yes
Check Point Infinity
Yes
KubeSphere
No
Migrateq
No
Pavilion HyperOS
No
SQLXPress
Yes
XYGATE Identity Connector
Yes
XYGATE SecurityOne
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Gluster
Founded
2005
Country
United States
Website
docs.gluster.org/en/latest/
Vendor Details
Company Name
Hewlett Packard
Founded
2015
Country
United States
Website
www.hpe.com/us/en/solutions/hpc-high-performance-computing/storage.html