Distributed Computing Scalable Architecture with GigaSpaces Elastic
Caching Edition

Supports multiple languages and frameworks

Achieve easy migration, reduced learning curves, and faster time to market by leveraging existing skillsets such as Spring, Java, JPA, .Net, and C++.

Any environment, anytime, anywhere – traditional data center, public/private cloud, or hybrid

Isolate the runtime environment, physical address, and platform type from your data grid. The system takes care of provisioning your data grid instances onto the best available resources, and self-adjusts to maintain utilization levels as machine availability changes over time.

Provides high performance, dynamic linear scalability, and always-on availability

• Query Processor: Enables applications to query data using simple as well as complex SQL-like queries.
• Memory Manager: Sets upper limits on memory usage in your cluster nodes, with automatic handling of overflow
• Cluster & Replication Layer:
  • Flexible topologies enable you to arrange distributed cache in partitions, replicated units, or a combination of both.
  • Data can be replicated over geographically distributed deployments.
  • Entire cluster can be transparently accessed from any machine.
• Discovery & Communication
  • Enables cluster members to automatically discover other members; unicast and multicast discovery support.