WebSphere eXtreme Scale

Transaction efficiency and scalability

• Reduces response time by reducing the number of requests to the database, thus increasing scalability.
• Applications that are scalable can more easily accommodate growth, supporting business processes and streamlining IT maintenance.
• Provides transaction support for all changes made to the cached data. Changes are tracked in a difference map. After changes are applied, a locking strategy ensures that the data is not changed.

Scalable access to large amounts of data

• Capable of handling extreme levels of data processing without affecting business performance.
• Designed to scale to thousands of grid containers. The grid can easily be extended by adding additional Java virtual machines and hardware.
• High throughput performance significantly reduces load on the database, allowing additional applications to utilize the database.

Elastic data grid reduces access time

• Provides a single virtual memory space for Java processes, so that data can be accessed quickly.
• Provides elastic scale, which is the ability to accommodate rising demand without increasing response time.
• The grid monitors and manages itself, and is self-healing by automatically recovering from failures.

High availability protects your data

• Redundant copies of cache data, called replicas, helps ensure against data loss.
• Allows the data to be replicated in a variety of ways, improving data integrity.
• Zones can be used, with replicas residing in different data centers, to help ensure availability in disaster scenarios.

Lower total cost of ownership

• Scalability can lower total cost of ownership by freeing up backend systems and extending the use of the database to other applications.
• Adding a seamless cache infrastructure across your applications allows you to reliably and quickly scale your transaction volumes.
• High availability and high performance with consistent response times helps to reduce overall cost and adds value to your business.