For a new business initiative, even a few seconds of delay can mean the difference between success and failure, as positive user experiences become increasingly dependent on application performance and quality. Data bottlenecks are more common as organizations quickly process larger volumes and greater varieties of data to meet customer expectations. Red Hat® Data Grid is an in-memory data grid and NoSQL data store solution that helps applications access, process, and analyze data at in-memory speed to deliver superior user experiences.
DATA GROWTH INCREASES I.T. COMPLEXITY
With the emergence of technologies such as cloud, big data, Internet of Things (IoT), and mobile, businesses need their applications to deliver higher performance, availability, reliability, flexibility, and scalability than ever before. But massive data growth is creating new obstacles that make it difficult for applications to meet these demands. Scaling the data tier creates both technical and economic challenges for organizations.
Scaling up requires additional hardware and database software licenses, while scaling out requires complex data partitioning or clustering technologies. With the implementation of cloud, Platform-as-aService (PaaS), and container-based infrastructures, these challenges become even more complicated. Whether data is hosted on-premise or in the cloud, in a centralized or distributed architecture, using open source or proprietary solutions, IT infrastructures are more complex than ever before. Organizations need flexible applications that can be used in a variety of hybrid cloud environments.
A SCALABLE, FLEXIBLE SOLUTION FOR APPLICATION DATA
To meet the challenges of IT complexity and data growth, data grids provide flexibility and elasticity to help organizations achieve the full benefits of Platform-as-a-Service and microservices architectures, while also helping applications run effectively in the cloud.
In-memory data grids, such as Red Hat Data Grid, give applications a scalable in-memory repository for rapidly changing application data. This solution eliminates disk bottlenecks and minimizes the use of cloud-based persistent storage. In addition, in-memory data grids enable transparent sharing of application data across a pool of instances to simplify design and reduce development time. This distributed data management system for application data:
- Uses RAM to store information for rapid, low latency response and very high throughput.
- Keeps copies of information synced across multiple servers for continuous availability, information reliability, and linear scalability.
Based on Infinispan, a JBoss community project, Red Hat Data Grid helps applications with heavy compute needs gain the benefits of scalability and high performance without the costs of rewriting or replacing the data tier.