Modern Data Management for Virtualized and Cloud-Based Applications
Modern Data Management for Virtualized and Cloud-Based Applications
Data Management for Virtualized and Cloud-Based Applications
Modern applications are increasingly web-oriented, data-intensive, and deployed in virtualized and cloud environments. Databases are creating performance bottlenecks: they can’t supply the high-speed performance required, and are unable to scale elastically with demand. But vFabric GemFire delivers both, together with the reliability and data management capabilities of a database. It’s the ideal solution for fast, secure, dependable, and cloud-scalable data access.
Blending advanced techniques like replication, partitioning, data-aware routing, and continuous querying, GemFire provides:
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New Features in vFabric GemFire 6.5
Feature Highlights
HTTP Session Management
L2 Caching for Hibernate
Enhanced parallel disk persistence
Simplified APIs for greater development ease
Improved scale-out capabilities
Co-located transactions to
dramatically boost throughput
With GemFire, you can decouple session management from your Tomcat or tc Server JSP container. Independently scale application server and HTTP session handling, and let GemFire manage very large sessions with high performance and no session loss. GemFire HTTP Session Management is pre-configured and can launch automatically with tc Server.
GemFire’s L2 caching lets developers leverage GemFire’s enterprise-class data management features for Spring Hibernate applications. Distributed GemFire L2 caching vastly improves Hibernate performance, reduces database bottlenecks, boosts developer productivity, and supports cloud-scale deployment.
Our newly redesigned “shared nothing” parallel disk persistence model now provides persistence for any block of data: partitioned or replicated. This enables all your operational data to safely “live” in GemFire, greatly reducing costs by relegating the database to an archival store.
As part of the ongoing integration of GemFire with the widely-used Spring framework, the system’s developer APIs have been modified for ease of startup and use. The developer samples included with GemFire have been updated to reflect the new APIs.
Subscription processing is now partitioned to enable access by many more subscribers with even lower latency than before. Clients communicate directly with each data-hosting server in a single hop, increasing access performance 2 to 3 times for thin clients.
Multiple transactions can be executed simultaneously across several partitioned regions.