Red Hat Gluster Storage Overview

Red Hat Gluster Storage is the #17 ranked solution in our list of top Software Defined Storage (SDS) tools. It is most often compared to VMware vSAN: Red Hat Gluster Storage vs VMware vSAN

What is Red Hat Gluster Storage?

Red Hat Gluster Storage (formerly known as Red Hat Storage Server) is a software-defined storage (SDS) platform designed to handle the requirements of traditional file storage—high-capacity tasks like backup and archival as well as high-performance tasks of analytics and virtualization. But unlike traditional storage systems, Red Hat Gluster Storage isn’t rigid and expensive. It easily scales across bare metal, virtual, container, and cloud deployments.

Red Hat Gluster Storage is also known as Red Hat Gluster, Red Hat Storage Server.

Buyer's Guide

Download the Software Defined Storage (SDS) Buyer's Guide including reviews and more. Updated: June 2021

Red Hat Gluster Storage Customers

NTT Plala, McMaster University, University of Basque Country, Goodtech ASA, Cox Automotive, Raidió Teilifís Éireann (RTÉ), SaskTel, Glashart Media, Casio

Red Hat Gluster Storage Video

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System Administrator at a financial services firm with 1,001-5,000 employees
Real User
Top 20
Easy to upgrade but the interface should be simplified

What is our primary use case?

We're using the product for storage. 

What is most valuable?

The most valuable feature of the product is that it's very easy to upgrade storage.

What needs improvement?

In terms of improvement, my initial suggestion would be that the user interface could be simplified. For now, it requires training to be able to use it.  I would like to see a more simplified version in the future, a product where the interaction is simple. 

For how long have I used the solution?

We've just started using the solution - we've had it for about a month and are still evaluating it. 

What do I think about the stability of the solution?

The product is stable. 

What do I think about the scalability of the solution?

The solution is very scalable.

How are