Oracle TimesTen In-Memory Database (TimesTen) is a memory-optimized relational
database that empowers applications with the responsiveness and high throughput
required by today's real-time enterprises and industries such as telecom, capital
markets and defense. Oracle In-Memory Database Cache (IMDB Cache) uses the
Oracle TimesTen In-Memory Database as its RDBMS engine. Deployed in the
application tier as an embedded database, Oracle TimesTen In-Memory Database
operates on databases that fit entirely in physical memory using standard SQL
interfaces. High availability for the in-memory database is provided through real-time
database that empowers applications with the responsiveness and high throughput
required by today's real-time enterprises and industries such as telecom, capital
markets and defense. Oracle In-Memory Database Cache (IMDB Cache) uses the
Oracle TimesTen In-Memory Database as its RDBMS engine. Deployed in the
application tier as an embedded database, Oracle TimesTen In-Memory Database
operates on databases that fit entirely in physical memory using standard SQL
interfaces. High availability for the in-memory database is provided through real-time
transactional replication.
O的TT内存数据库(TT)是一个基于内存优化的相关数据,它被现代实时性要求性质企业和工业
来解决它们的反应时间和吞吐量的问题,比如通信,资本市场和国防上。O的内存数据库缓存
(IMDB)使用TT的内存数据库作为它的关系数据库引擎。作为一个内嵌的数据库布署在应用的
第一线,O的TT数据库的操作适合将整个库放置于内存中使用标准的SQL接口。对于内存数据
库高可用性用于提供实时的事务复制功能。