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What is xiRAID?

xiRAID is an advanced RAID solution designed specifically for the requirements of modern storage systems, particularly those that utilize NVMe and NVMe-over-Fabrics (NVMe-oF) technologies. By moving away from traditional hardware RAID controllers, it embraces a software-driven architecture that not only boosts performance but also lowers overall ownership costs and enhances operational adaptability. This solution supports both locally connected drives and networked NVMe devices, serving as a unified block device that applications can access without necessitating any modifications. Aimed at achieving performance metrics that rival those of hardware, xiRAID utilizes advanced techniques like I/O parallelization and a lockless datapath, reaching remarkable throughput speeds of up to 150 GB/s, managing up to 30 million IOPS, and keeping latency below 0.5 ms, all while consuming minimal CPU and memory resources. With support for various RAID configurations, including levels 0, 1, 5, 6, 10, 50, 60, and 70, it integrates effortlessly with existing file systems through its compatibility with POSIX APIs. Overall, xiRAID is not just a robust solution; it is also a highly adaptable one, ready to cater to the dynamic demands of data-heavy applications. Its ability to evolve in response to changing technology trends ensures that it remains a leading choice for enterprises looking to optimize their storage infrastructure.

What is Datafy?

Datafy empowers organizations to effectively control their cloud storage costs by automating the optimization of Amazon EBS volumes through persistent monitoring and right-sizing, guaranteeing that expenditures accurately reflect actual usage. The platform provides valuable insights into volume utilization, enables policy-driven resizing with zero downtime or manual intervention, and promotes ongoing savings by dynamically adjusting capacity and identifying underutilized or dormant volumes. It operates through a systematic three-step approach: initially, it examines the storage landscape for inefficiencies; subsequently, it enhances performance by automatically resizing volumes in accordance with usage patterns; and ultimately, it secures continuous savings by maintaining an efficient storage footprint. By effortlessly integrating with existing cloud infrastructures, Datafy functions quietly in the background to streamline storage management, reduce waste, and maintain operational uptime. Users have reported substantial cost reductions while utilizing Datafy, and the setup process is remarkably smooth and efficient. This user-friendly experience allows organizations to concentrate on their primary functions while reaping the benefits of optimized storage solutions, fostering a more productive operational environment. As a result, companies can not only save money but also enhance their overall efficiency in managing cloud resources.

Media

Media

Integrations Supported

Amazon Elastic Block Store (EBS)
Amazon Web Services (AWS)

Integrations Supported

Amazon Elastic Block Store (EBS)
Amazon Web Services (AWS)

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

Xinnor

Date Founded

2022

Company Location

India

Company Website

xinnor.io/what-is-xiraid/

Company Facts

Organization Name

Datafy

Date Founded

2023

Company Location

Israel

Company Website

datafy.io

Categories and Features

Categories and Features

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