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What is NuoDB?

As the shift towards distributed applications and architectures accelerates, it becomes crucial for your database to evolve in response. Experience the versatility of a distributed SQL database that can be deployed anytime and anywhere, customized to fit your unique needs. Upgrade your existing SQL applications to a powerful multi-node framework that can easily scale up or down based on fluctuating demand. Our Transaction Engines (TEs) and Storage Managers (SMs) work in harmony to ensure ACID compliance across diverse nodes. Through the adoption of a distributed architecture, your database gains the ability to endure the failure of one or more nodes while still providing uninterrupted access. You can strategically position TEs and SMs to meet the demands of your workload or across the various environments your teams utilize, including private clouds, public clouds, hybrid configurations, or multiple cloud services. This remarkable flexibility guarantees that your database stays resilient and efficient amid a rapidly changing technological environment. Ultimately, the ability to adapt and thrive in such conditions will give your organization a significant competitive edge.

What is NVIDIA Magnum IO?

NVIDIA Magnum IO acts as a sophisticated framework designed for optimizing I/O processes in parallel data center environments. By improving the functionality of storage, networking, and communication across various nodes and GPUs, it supports vital applications such as large language models, recommendation systems, imaging, simulation, and scientific studies. Utilizing storage I/O, network I/O, in-network computation, and well-organized I/O management, Magnum IO effectively accelerates and simplifies the movement, access, and management of data within complex multi-GPU and multi-node settings. Its compatibility with NVIDIA CUDA-X libraries ensures peak performance across a variety of NVIDIA GPU and networking hardware configurations, maximizing throughput while minimizing latency. In architectures that utilize multiple GPUs and nodes, the conventional dependence on slow CPUs with limited single-thread performance poses challenges for efficient data access from both local and remote storage. To address this issue, storage I/O acceleration enables GPUs to bypass the CPU and system memory, facilitating direct access to remote storage via 8x 200 Gb/s NICs, thus achieving an impressive 1.6 TB/s in raw storage bandwidth. This technological advancement substantially boosts the overall operational efficiency of applications that require extensive data processing, ultimately allowing for faster and more responsive data-driven solutions. Such improvements represent a significant leap forward in managing the increasing demands of modern data workloads.

Media

Media

Integrations Supported

DQ Studio
DbVisualizer
Nucleon Database Master

Integrations Supported

Apache Spark
CUDA
NVIDIA NetQ
NVIDIA virtual GPU

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NuoDB

Date Founded

2010

Company Location

United States

Company Website

www.nuodb.com

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/data-center/magnum-io/

Categories and Features

Database

Data Search
Data Security
Mobile Access
NOSQL
Relational Interface

Distributed Databases

Not specified

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Databases

Not specified

Categories and Features

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