1. Cache Architecture
Cache post-relational database is characterized by high efficiency, low cost and the ability to quickly develop a good ductility, applications. Cache uses a highly efficient multi-dimensional array stored in the form of data, even in the configuration using less hardware than other database systems conditions of high load operation with high efficiency can be ensured. In addition, Cache can access data using a variety of technologies, developers can choose to use their own familiar and readily available development tools, which greatly improves the ability to open and application development.
2. Multidimensional Data Engine
And relational databases, Cache multidimensional arrays to store data, and two-dimensional relational database tables to store data. Cache In addition to the real data modeling made possible also because of reduced processing table connections (which is very frequent in a relational database), so the use of multidimensional arrays faster access to data. Cache obtain data from its unique organization in a number of powerful features, the key lies in Cache database engine provides a complete service to our: including data storage, concurrency management, transaction management and process management, which for us provides powerful features and tools can be used to build sophisticated management systems. Another characteristic properties of improved Cache Cache is a unique distributed cache protocol, which greatly reduces the network communication throughput in a distributed system.
Although the data in the Caché multidimensional data structure is stored in the form of, but Caché allows developers to model data in any way they choose: objects, tables, or multidimensional arrays. Caché has a very easy to use graphical development environment to build and develop Caché object. Caché can also accept or Rational Rose object modeling tool (database definition language) in the form of DDL file to import from.
3. Cache access mode