Fast client/server performance via sophisticated caching and index compression

Minimizing system I/O is FairCom's most effective method of assuring superior performance across a wide variety of hardware platforms. The more your design can eliminate the need for I/O, the better your efficiency. FairCom uses robust hashed caching algorithms for both data and index files to minimize the amount of data actually transferred to and from the external storage medium. By using advanced hashing algorithms and a unique index mechanism within the cache management subsystem, FairCom is able to use multiple gigabytes of memory to boost data throughput.

Additionally, by using the granular cache level support provided by c-treeACE, you can store your entire database in cache thereby providing the performance of a pure memory database, while concurrently persisting your data to disk. This option provides close to "in memory" performance with the data integrity of storing data to disk. If you don't need to store your data to disk, use the c-treeACE memory file support which is a pure memory database implementation.