Audience

Developers in need of a solution to access, process, and analyze data at in-memory speed

About Red Hat Data Grid

Red Hat® Data Grid is an in-memory, distributed, NoSQL datastore solution. Your applications can access, process, and analyze data at in-memory speed to deliver a superior user experience. High performance, elastic scalability, always available. Quickly access your data through fast, low-latency data processing using memory (RAM) and distributed parallel execution. Achieve linear scalability with data partitioning and distribution across cluster nodes. Gain high availability through data replication across cluster nodes. Attain fault tolerance and recover from disaster through cross-datacenter geo-replication and clustering. Gain development flexibly and greater productivity with a highly versatile, functionally rich NoSQL data store. Obtain comprehensive data security with encryption and role-based access. Data Grid 7.3.10 provides a security enhancement to address a CVE. You must upgrade any Data Grid 7.3 deployments to version 7.3.10 as soon as possible.

Pricing

Free Trial:
Free Trial available.

Integrations

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Company Information

Red Hat
Founded: 1993
United States
www.redhat.com/en/technologies/jboss-middleware/data-grid

Videos and Screen Captures

Red Hat Data Grid Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online

Red Hat Data Grid Frequently Asked Questions

Q: What kinds of users and organization types does Red Hat Data Grid work with?
Q: What languages does Red Hat Data Grid support in their product?
Q: What kind of support options does Red Hat Data Grid offer?
Q: What other applications or services does Red Hat Data Grid integrate with?
Q: What type of training does Red Hat Data Grid provide?
Q: Does Red Hat Data Grid offer a free trial?

Red Hat Data Grid Product Features

NoSQL Database

Performance Management
Multi-Model
Dynamic Schemas
Automatic Database Replication
Security Management
Data Model Flexibility
Deployment Flexibility
Auto-sharding
Integrated Caching