Red Hat Gluster Storage
Features
- A single global namespace
- Object access to the file storage
- Integration with Red Hat Enterprise Virtualization
- Support for access standards
- File system snapshots
- Elastic hashing algorithm
- Convenient operation
- Replication
- Deep integration with Hadoop
An open software-defined storage platform for physical, virtual and cloud environments.
Red Hat Gluster Storage is used to store such types of unstructured data as:
- Multimedia files (images, videos, audio)
- Backup images and online archives
- Big data (log files, RFID data and other machine-generated data)
- Virtual machine images.
Red Hat ® Gluster Storage (formerly known as Red Hat Storage Server) is a distributed data storage (SDS) platform designed to implement traditional file storage tasks such as backup and archiving, as well as high-performance analytics and virtualization tasks.
But unlike traditional storage systems, Red Hat Gluster Storage is not a closed and expensive system, it is easily scaled across various cloud, virtual, container and cloud deployments.
Red Hat ® Gluster Storage is an open software–defined storage platform for working with unstructured data in physical, virtual and cloud environments.
The solution supports access to data in the form of files and objects, has an open scalable architecture and provides cost-effective and efficient support for terabyte data arrays.
By transparently combining physical, virtual and cloud resources, Red Hat Gluster Storage helps transform big data, as well as semi-structured and unstructured data, into a valuable information asset of an organization.
The Red Hat Gluster Storage platform is based on the Red Hat Enterprise Linux ® operating system and provides deployment of cost-effective storage systems with high availability, scalability and performance.
The solution supports a number of data access protocols at the file and object levels, and is designed for general-purpose servers with x86 architecture.
Red Hat Gluster Storage can be deployed in an enterprise data center, as well as in public and hybrid cloud environments.
The solution is optimized for enterprise loads with intensive data processing, such as archiving and backup, media content libraries, corporate DropBox solutions, cloud and business applications, storage subsystems in virtual and cloud infrastructures, as well as new tasks such as combining applications on a node (co-residence) and processing large data by Hadoop tools.
