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GigaSpaces XAP In-Memory Data Grid - Feature List

Distributed Cache, Clustering, Linear Scalability and High Performance for Mission-Critical Applications

GigaSpaces XAP In-Memory Data Grid delivers an in-memory cache for fast data access, and an advanced distributed cache for extreme performance and scalability. XAP is trusted by Fortune 100 companies to eliminate database bottlenecks and guarantee consistency, transactional security, reliability and high availability for the data.

Feature List - In-Memory Data Grid, Distributed Cache and In-Memory Cache

Distributed Cache
  • Synchronous/asynchronous replication 
  • Partitioned topologies 
  • Replicated topologies 
  • Combined topologies 
  • SQL interface 
  • Write-through to database  
  • Write-behind with batching  
  • LRU, FIFO and All-In-Cache 
  • Upper limit on memory usage 
  • Optimized cache warmup 
  • Optimized Hibernate-based database interface 
Event Handling
  • Point-to-point and publish-subscribe 
  • Continuous query 
  • Fully transactional 
  • Based on Spring Framework abstractions 
  • Task execution on one data partition 
  • Task execution on multiple partitions (Map/Reduce) 
  • Dynamic language support 
Performance and Scalability
  • Linear scalability 
  • Ultra-fast local cache 
  • Optimized synchronous replication 
  • Asynchronous replication 
  • Batch operations 
  • Data indexing 
  • Optimized transaction performance 
  • Optimized serialization 
  • Fast client access 
High Availability and Reliability
  • No single point of failure 
  • Everything is backed up 
  • Synchronous/asynchronous replication 
  • Dynamic capacity management 
  • Buffering for back-end systems 
  • Sub-second hot failover 
  • SLA-sensitive self healing 
  • WAN clustering / disaster recovery 
  • Zones support 
  • Hot-swap hardware maintenance 
  • Dynamic code updates 
Administration and Monitoring
  • Comprehensive Management Center GUI 
  • Administration API 
  • Physical layer monitoring 
  • Process-level control and monitoring 
  • Data partitions control and monitoring 
  • Management of entire cluster from any machine 
  • Fine-grained programmatic control and monitoring 
  • Event-driven administration 
  • Graphic views 
  • Easy to use 
  • Highly extensible 
Language Interoperability
  • Out-of-the-box language interoperability 
  • Java, C++ and .NET 
  • No transformations for high performance 
  • Use your native API 
  • Guaranteed consistency 
Security
  • Transport security 
  • Authentication and authorization 
  • Authorization for specific data operations 
  • Authorization for specific types and data 
  • Custom security events 
  • Coherent usage trail for auditing 
  • Integrates with 3rd-party security providers 

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