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What is Terracotta?

Terracotta Server Platform is a distributed in-memory data management solution that serves as the foundation for Terracotta clusters and products such as Ehcache and TCStore. It gives development and infrastructure teams a way to add clustered caching and shared server-side storage to Ehcache deployments. A Terracotta Server Array can be configured as a basic two-node system or expanded into a larger multi-node setup to support higher capacity, stronger performance, and deeper failover coverage. The platform is built to manage large amounts of in-memory data and can handle far more memory than many traditional data grid approaches. Terracotta Server supports scalability without complex configuration by allowing teams to add server instances as demand increases. Its high availability capabilities help maintain uptime through instant failover, while Terracotta HealthChecker provides configurable inter-node monitoring. Automatic node reconnection allows temporarily disconnected server instances and clients to rejoin the cluster without manual intervention. Getting started involves downloading the Terracotta Server through the clustered Ehcache kit or Docker image, starting the server, and connecting an Ehcache client through Java or XML configuration. Developers can define clustered dedicated resources, use off-heap memory, and test cache operations by putting and retrieving key-value data through a clustered cache manager. The platform requires JDK 17 or higher and is freely available under the Apache Public License 2.0. Terracotta Server Platform is built for teams that need scalable, reliable, and high-performance distributed caching across clustered Java application environments.

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

Apache Spark
CUDA
FF4J
NVIDIA NetQ
NVIDIA virtual GPU

Integrations Supported

Apache Spark
CUDA
FF4J
NVIDIA NetQ
NVIDIA virtual GPU

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

Terracotta

Company Website

www.terracotta.org

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

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Data Center Management

Audit Trail
Behavior-Based Acceleration
Cross Reference System
Device Auto Discovery
Diagnostic Testing
Import / Export Data
JCL Management
Multi-Platform
Multi-User
Power Management
Sarbanes-Oxley Compliance

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