Red Hat Data Grid

Elastic in-memory NoSQL key-value store

Publisher

Red Hat

Average rating

Deze score is berekend door AI op basis van publiek beschikbare informatie.
4 / 5

About this software

Red Hat Data Grid is an in-memory, distributed NoSQL key-value datastore based on the open-source Infinispan project. It can run embedded in applications, as a standalone server, or as a container on Red Hat OpenShift. The product exposes standard APIs such as Hot Rod, REST, and memcached for cross-platform access, supports data partitioning, replication, and elastic scaling, and is documented and distributed by Red Hat with downloads and guides for deployment and operations.

Licenses & prices

Standard

Provides core in-memory data grid capabilities, including distributed caching, basic clustering, and operational tools.

Premium

Adds enterprise features to Data Grid, including cross-site replication, persistent storage, advanced security, and vendor support.

Purchase

Red Hat Data Grid

Red Hat Data Grid
In Stock
Delivery: 1 working day
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€1,936.00
Free and without obligation

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Benefits

  • Low-latency access: In-memory storage offers fast, low-latency data access for transactional workloads
  • Elastic scalability: Automatically partition and distribute data across nodes for linear scalability
  • Multiple deployment modes: Run as embedded library, standalone server, or container on OpenShift
  • Standard APIs: Access data using Hot Rod, REST, memcached, and other APIs
  • High availability: Replicate data across nodes for fault tolerance and availability

Available languages

  • English
  • French
  • Korean
  • Japanese
  • Chinese (Simplified)

Support information

  • Product documentation: Official docs include deployment, developer, security, and upgrade guides for multiple Data Grid versions
  • Downloads and images: Server binaries, container images, and client artifacts are available on Red Hat Developer and Customer Portal
  • Security advisories: Red Hat publishes security advisories and CVE information relevant to Data Grid components
  • Subscription entitlements: Updates, patches, and commercial support are provided through Red Hat subscription entitlements
  • Community upstream: The upstream Infinispan project is maintained publicly and feeds features into Data Grid

Frequently asked questions

How does it improve application performance and scalability?
By keeping frequently accessed data in memory across a cluster, it reduces backend latency, enables horizontal scaling through node addition, and distributes load for higher throughput.
How does Red Hat Data Grid handle data availability and fault tolerance?
It uses distributed ownership and replication to maintain data copies across nodes so applications can continue accessing data during node failures, restarts, or rebalancing.
What developer interfaces and integration options are typical for this product?
Typical interfaces include key-value APIs and language clients (for example Java), integration with application servers, and support for caching and session management patterns.