Name: Red Hat Data Grid
Author: Red Hat

Help Desk

Web and Video Conferencing

Customer Support

Batch Management Software

Feature Management

Innovation Management

Product Lifecycle Management (PLM)

Development

Classroom Management

Education

Business Intelligence (BI)

Calendar

Collaboration

Digital Rights Management (DRM)

Enterprise Content Management

Statistical Analysis

Visitor Management

Enterprise

Accounting

Corporate Performance Management (CPM)

Digital Banking

Finance and Accounting

ACA Compliance

Applicant Tracking

Corporate Learning Management

HR Management

Leadership Development

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Access Gateways

Archiving

Cloud Storage

Configuration Management Databases

Disk Cloning

Email Encryption

Fraud Detection

Infrastructure-as-a-Service

Integration Platform as a Service (iPaaS)

Log Management

Network Performance Monitoring

Office Migration and Repair

SIP Trunking

Software Asset Management

Telecom Expense Management (TEM)

Vendor Risk Management

Virtual Data Room

Web Scraping

WiFi Hotspot

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Blogging

Content Management

Ecommerce Personalization

Email Marketing

Enterprise Marketing Management

Market Intelligence

Market Research

Marketing Automation

Social Media Management

Survey & Forms Building

Video Marketing

Web Analytics

Marketing

Job Site Management

Project Management

Waste Management

Writing and Proofreading Tools

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

Sales Performance Management

Sales

Fleet Management

Membership Management

Municipal

Rental Property Management

Roofing

Warranty Management

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

Redis Software

Redis

MongoDB

Amazon DynamoDB

Amazon AWS

Couchbase Server

Couchbase

IBM Cloudant

Apache Cassandra

Apache

Azure Cosmos DB

Microsoft

Google Cloud Datastore

Google

Apache HBase

Red Hat® Data Grid is an in-memory, distributed, NoSQL datastore solution used by applications to access, process, and analyze data at in-memory speed.

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.

On-Demand - Write Operation

On-Demand Read Operation

On-Demand Data Stored

On-Demand Point-in-Time Recovery

On-Demand Snapshot

On-Demand Restoring a Backup

On-Demand Global Tables

On-Demand Streams

On-Demand Data Requests Outside AWS Regions

Provisioned - Write Operation

Provisioned - Read Operation

Provisioned - Data Stored

Provisioned - Point-in-Time Recovery

Provisioned - Snapshot

Provisioned - Restoring a Backup

Provisioned - Global Tables

Provisioned - Streams

Provisioned - Data Requests Outside AWS Regions

MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

Shared

Serverless

Dedicated

Red Hat Data Grid

Some cloud platforms offer options for using a database as a service, without physically launching a virtual machine instance for the database. In this configuration, application owners do not have to install and maintain the database on their own. Instead, the database service provider takes responsibility for installing and maintaining the database, and application owners pay according to their usage. For example, Amazon Web Services provides three database services as part of its cloud offering, SimpleDB, a NoSQL key-value store, Amazon Relational Database Service, an SQL-based database service with a MySQL interface, and DynamoDB.

NoSQL Databases

Build embedded cache clusters with Quarkus and Red Hat Data Grid

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With FY2012 revenues over U.S. $1 billion, Red Hat is the world's leading provider of open source solutions.

Our mission is to be the catalyst in communities of customers, contributors, and partners creating better technology the open source way. We strive to make freedom, flexibility, and open source the building blocks of our enterprise technology stack. And we passionately pursue our vision of a better future, based on open standards and interoperability.

Red Hat is the place to take chances. Good work earns respect, and people dream big and act boldly as they extend the reach of open source. The basis of this freedom is as solid as our success. Our growth history is a good foundation for making a difference. And we need talented, smart, and passionate people to make this happen.

 So, what's in it for you? The ability to have an impact and change the world. What more could you want?

Come prepared to lead the way.

Red Hat

Protect your sensitive data with a data grid

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

Performance

How fast the database performs under data load

Availability

Availability is the probability that the NoSQL database will be available to preform its function when called upon.

Concurrency

Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.

Security

Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.

Scalability

NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.

Data model flexibility

NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data,  but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.

Deployment model flexibility

Can be deployed on-premise or in the cloud.

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Red Hat Data Grid

Overview

What is Red Hat Data Grid?