XAP Elastic Caching Edition

Easy Application Server Clustering with GigaSpaces XAP Elastic Caching Edition

Overcome Relational database built-in performance limitations 

  • Store your data in memory (in-memory data grid as system of record)
  • Replicate & partition your data
  • Write-behind to the DB

 

 

System of Records (SoR) with Write Behind

 

System of Records (SoR) with Local Caching

 

Side Cache

 

Side Cache with Local Caching

 

The GigaSpaces In-Memory Data Grid (IMGD) supports the follwing deployment topologies:

All the topologies support co-locating business logic with any of the IMDG instances, enabling fast data processing and eliminating serialization and network overhead once data is accessed.

  1. Fully replicated: Each member contains all of the data. Replication between nodes is done synchronously or asynchronously
  2. Partitioned: Each node contains a different subset of the data
  3. Partitioned: Each node contains a different subset of the data.Regardless of the IMDG cluster deployment topology, a client can run a near-cache (called local cache/view).

 

 

 
 
 
Scaling Data Caching Technical Overview