Data Grid

Cost-effectively scale big-data tiers without making compromises

Data-driven web applications enhance the online experience, driving up customer satisfaction, retention, and purchasing. But as more people use them, the amount of data grows. And multiple reads and writes to traditional back-end data stores can cause a major performance bottleneck.

If your data is no longer well-suited to traditional data storage, or the volume, velocity, or variability leaves your database strained, now’s the time to check out Red Hat® JBoss® Data Grid.

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Reclaim your application performance

A linearly scalable, distributed, in-memory database, JBoss Data Grid offers a nondisruptive solution that can significantly boost the performance and scalability of your application while lowering your total cost of ownership (TCO).

Where to use JBoss Data Grid

Use JBoss Data Grid in any type of web application that requires heavy interaction with a data tier. It performs especially well in transactional applications. Typical use cases include:

  • Retail/e-commerce: B2B partner-procurement data and consumer catalogs
  • Financial services: options and stock-trading performance optimization
  • Media and entertainment: on-demand video and data management
  • Transportation and logistics
  • Travel

What JBoss Data Grid includes

  • JBoss Data Grid, a managable, highly available, distributed key/value store that provides relational caching, elastic scaling, and in-memory performance for compute-intensive and easily scalable workloads.
  • JBoss Operations Network, a management platform providing monitoring, provisioning, and advanced management capabilities for your entire JBoss implementation.
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Benefits & Features

Ease into NoSQL

Add nonrelational in-memory data storage easily and less intrusively

A NoSQL database is designed for distributed data stores to handle large-scale data needs. You can easily and nonintrusively add nonrelational in-memory data storage, like JBoss Data Grid, to your application. 

JBoss Data Grid offers a fast, easy-to-use key/value store with in-memory speeds:

  • Schema-less key/value store: NoSQL key/value stores let applications store virtually any structure in a data element. JBoss Data Grid is a NoSQL data store that provides the flexibility to store any type of data.
  • Compatability with many types of applications: JBoss Data Grid works with applications in any language and by using any framework, including Java™, C#, Spring, and others—deployed in an application or standalone.
  • Works with existing relational databases: You don't need to replace a relational database with another or spend time and effort on complex relational partitioning schemes. JBoss Data Grid can cache existing data stores, keeping data transactionally consistent and available in the store-of-record.
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Manage big data easily

Cost-effectively scale data tiers

As IT departments struggle with an explosion of data and real-time access, alternative data models have evolved into a movement known as big data. JBoss Data Grid puts big data to work, reducing response times in applications and supporting high-volume workloads with low latency.

JBoss Data Grid:

  • Eases the load on database servers.
  • Shortens response times in applications.
  • Provides failure resilience.
  • Provides easy access to the data grid via a variety of access protocols, including REST, memcached, Hot Rod, or simple map-like API.
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Scale your applications painlessly and cost-effectively

Scale your applications, not your cost

The cost and complexity of scaling a relational data tier is extremely high. But with JBoss Data Grid, the cost of data management doesn't have to scale along with your application.

Serving as a seamless cache between the application and the data tier, JBoss Data Grid manages integrity and consistency, significantly cutting the cost and complexity necessary to scale your applications.

Red Hat JBoss Data Grid provides:

  • Reliable grid-based data storage: JBoss Data Grid is designed to easily distribute data across multiple nodes. Data can be replicated in memory, written to disk, or stored in a relational database for fault tolerance.
  • Elastic scaling: JBoss Data Grid allows the simple addition and removal of storage nodes with ease and without disruption.
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Additions

Middleware and Application Services

Red Hat Consulting's Middleware and Application Consulting Practice specializes in:

  • Open-standard architecture strategy, design, integration, and development.
  • Legacy-modernization services.
  • JBoss Enterprise Middleware services.

Red Hat Middleware and Application Services:

  • Deliver vast experience with JBoss enterprise products.
  • Offer full life cycle development, including open source integration and hybrid design services.
  • Drive open source processes and governance.
  • Mitigate risk through a modified agile systems development approach.

JBoss Enterprise Middleware training

Introductory or advanced, administration or development, Red Hat offers JBoss Enterprise Middleware expertise in its industry-recognized education program. Get the best return on your JBoss investment. Train with Red Hat.

How to Buy

Contact Red Hat Sales

Contact Red Hat Sales to learn more about, get an evaluation copy of, or purchase Red Hat JBoss Data Grid.

Find a reseller

Red Hat works with an ecosystem of partners to build, optimize, and deliver complete solutions. Through our global network of leading hardware, software, and service provider vendors, Red Hat offers you a wealth of proven technology solutions that solve real-world business challenges. 

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Product Details

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