Pivotal GemFire XD
Pivotal GemFire XD maintain transaction integrity across distributed nodes. Support high-concurrency, low latency data operations in your application. Node failover and WAN-replication ensure resiliency of your application, even in the cloud.
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
GemFire XD is an in-Memory data grid powered by Apache Geode that scales on-demand data services to support real-time, high performance apps. Even though it provides much the same features for data management as most other good data grids do, it’s added features enhance the way so as to the way data is configured and conveyed. Its features include a predictable low latency: even during huge peaks in synchronized access, users can count on predictable low latency because of the in-memory, horizontally scalable architecture which is built in to GemFire. The elastic scale-out feature easily scales out horizontally to meetpeaks in synchronized access, users can count on predictable low latency because of the in-memory, horizontally scalable architecture which is built in to GemFire. The elastic scale-out feature easily scales out horizontally to meet the most demanding peaks in usage. It lets its users scale back down again when the peaks start to get low, allowing runtime costs to be kept down.
Real-Time Event Notifications feature is all about applications being subscribed to real-time events to respond to changes immediately. GemFire’s continuous queries notify users’ apps whenever new data is available because it reduces the overhead on the SQL database. High Availability and Business Continuity feature allows prevention of node failures, datacenter-wide outages, or software upgrades etc. Durability feature eliminates data loss with GemFire’s in-memory data replication and a shared-nothing persistence architecture as it provides supreme data resiliency. Cloud-Ready feature enables on-demand access to GemFire's high performance, highly available and the event-driven data grid on the leading cloud native application platform. This feature works almost independently; it does not hinder the on-going flow of actions and changes being made to the rest of the data. It is a self-maintained process.