Elastic Data Management for Enterprise & Cloud Applications
Modern applications are increasingly web-oriented, data-intensive, and deployed in virtualized and cloud environments. Databases are becoming performance bottlenecks when they can’t supply the high-speed performance required, and are unable to scale elastically with demand.
VMware vFabric GemFire delivers speed and dynamic scalability, together with the reliability and data management capabilities of a database. GemFire is a core component of VMware’s vFabric Cloud Platform and the ideal solution for fast, secure, dependable, and cloud-scalable data access.
Achieve unmatched performance plus database-class reliability
GemFire’s unique “shared nothing” parallel disk persistence architecture manages partitioned data across the cluster by pooling all its disks. Combining that with an equally unique disk logging algorithm, get exceptionally high throughput for data. GemFire manages multiple copies of data on disk with minimal impact on performance. And thanks to the sophisticated recovery mechanism, disk or single-note failures will not compromise data consistency.
Improve operational efficiency with non-disruptive up/down scalability
Get the elasticity business applications require through dynamic data partitioning, distributed application functionality, automatic data rebalancing, and continuous client load-balancing.
Increase developer productivity
GemFire’s re-engineered APIs and integration with the popular Spring framework combine to greatly speed and simplify the development and support of scalable, transactional enterprise applications.
Simplify and improve caching for Tomcat and Hibernate users
vFabric GemFire can offload and manage HTTP session state for Apache Tomcat and vFabric tc Server, VMware’s enterprise version of Tomcat optimized for Java Spring users. GemFire manages large sessions with proven high availability and scalability – an especially beneficial capability for web apps that need to scale out to meet demand. GemFire also provides fast, scalable, and distributed L2 caching for Hibernate, for dramatically superior performance and reduced network traffic.