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What is GlusterFS?

GlusterFS is a flexible network filesystem tailored for high-performance applications, such as cloud storage and media streaming services. Being both open source and free, it is designed to work seamlessly with standard hardware. This software serves as a scalable, distributed file system that integrates storage resources from multiple servers into a single global namespace. Organizations can easily adjust their storage capacity, performance, and availability as their needs grow, without being locked into a particular vendor, whether they are utilizing on-premises infrastructure, public cloud environments, or hybrid configurations. A variety of industries, including media, healthcare, government, education, web 2.0, and financial services, have successfully implemented GlusterFS within their production workflows. The system can effectively scale to several petabytes and adeptly handle thousands of clients while maintaining POSIX compliance. It runs on standard commodity hardware and is compatible with any on-disk filesystem that permits extended attributes. Additionally, GlusterFS can be accessed through popular protocols such as NFS and SMB, and it boasts vital features like replication, quotas, geo-replication, snapshots, and bitrot detection, all of which contribute to ensuring data integrity and availability. The combination of its versatility and powerful features positions GlusterFS as an appealing option for organizations striving to enhance their data storage solutions. With its ability to adapt to various technological landscapes, GlusterFS continues to be a valuable asset for businesses looking to innovate in their data management strategies.

What is DDN Infinite Memory Engine (IME)?

The convergence of major technological progress and market dynamics necessitates a fresh strategy for optimizing high-efficiency input/output operations. As various non-volatile memory (NVM) technologies continue to emerge alongside the exponential growth of media capacities, the increasing adoption of many-core processor architectures is intensifying I/O demands and complicating requirements. Meanwhile, high-value sectors are utilizing analytics and machine learning to further test the boundaries of performance. Traditional file systems are finding it difficult to effectively manage flash storage at scale, while the effectiveness of hard disk drives declines with heightened concurrency levels. In light of these challenges, IME provides steady job performance, boosts computation for large data sets that surpass memory limits, accelerates applications that are I/O-intensive, and offers a dependable, economical, and space-efficient method for handling varying data loads. This innovative approach is critical for addressing the evolving challenges associated with contemporary data processing requirements. Furthermore, adapting to these shifts will allow organizations to remain competitive and efficient in an increasingly data-driven landscape.

Media

Media

Integrations Supported

KubeSphere
Migrateq
Pavilion HyperOS
Red Hat Cloud Suite
Sesterce

Integrations Supported

KubeSphere
Migrateq
Pavilion HyperOS
Red Hat Cloud Suite
Sesterce

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

Gluster

Date Founded

2005

Company Location

United States

Company Website

docs.gluster.org/en/latest/

Company Facts

Organization Name

DDN Storage

Date Founded

1998

Company Location

United States

Company Website

www.ddn.com/products/ime-flash-native-data-cache/

Categories and Features

Categories and Features

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