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What is Red Hat Ceph Storage?

Red Hat® Ceph Storage serves as a dynamic and highly scalable storage option tailored for modern data operations. It has been specially crafted to cater to the needs of data analytics, artificial intelligence/machine learning (AI/ML), and other advanced applications, providing a software-defined storage solution that works seamlessly with various standard hardware configurations. Users have the capability to scale their storage to remarkable extents, supporting up to 1 billion objects or more while maintaining top-notch performance. The system is designed to allow for the effortless scaling of storage clusters both upwards and downwards, ensuring that operations continue smoothly without any interruptions. This remarkable flexibility grants businesses the agility they need to speed up their time to market significantly. The installation process is greatly streamlined, which leads to faster setup and deployment times. Moreover, the platform enhances the ability to derive quick insights from extensive unstructured data, aided by advanced operational, monitoring, and capacity management tools. To safeguard data against external threats and hardware failures, it incorporates robust data protection and security measures, including encryption at both the client-side and object levels. Additionally, backup and recovery management is simplified through a centralized administration point, which promotes efficient data management and boosts operational productivity. This combination of features positions Red Hat Ceph Storage as a premier choice for organizations aiming to harness scalable and trustworthy storage solutions, ultimately driving their success in a competitive environment.

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

CloudCasa
IBM Fusion
IBM Storage Suite for IBM Cloud Paks
InfluxDB
MasterDC
Migrateq
Netdata
Red Hat AMQ
Telegraf
Veeam Kasten for Kubernetes
Virtalica StorageFabric

Integrations Supported

Sesterce

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Red Hat

Date Founded

1993

Company Location

United States

Company Website

www.redhat.com/en/technologies/storage/ceph

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

Block Storage

Not specified

Object Storage

Not specified

Categories and Features

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