Overview of Caché Features & Benefits

Caché Data Server Features

When it comes to transaction processing, performance is critical. Caché’s data server technology lets you scale applications up to serve tens of thousands of users without sacrificing speed.

Features Benefits
Multidimensional Data Engine
All data is stored in sparse multidimensional arrays that eliminate the processing overhead related to the “joins” common to relational databases. High performance. Massive scalability. Realistic modeling of complex data. Efficient data storage consumes less disk space, and requires less hardware.
Object Data Access
Data can be modeled as objects. Caché supports encapsulation, multiple inheritance, polymorphism, embedded objects, references, collections, relationships, BLOBs. Rapid application development. Intuitive modeling of complex data.
SQL Data Access
Allows relational access to Caché database. Supports both ODBC and JDBC. Boosts performance of legacy relational applications. Provides SQL connectivity to standard query, reporting and analysis tools.
Multidimensional Data Access
Provides direct control of the multidimensional structures in the Caché database. High performance. Enables connectivity to legacy systems.
Unified Data Architecture
Object classes and relational tables are automatically generated from a single data definition. Rapid development. Eliminates “impedance mismatch” between objects and tables.
Transactional Bit-Map Indexing
Caché’s bit-map indexes can be updated extremely quickly, making them suitable for use with “live” data. Fast response to complex queries. Quick updating enables real-time data analysis while maintaining high-performance transaction processing.
Performance Monitoring API
Connects to popular monitoring tools like BMC’s Patrol and Fortel’s Sightline. Aids in application optimization. Provides a method of demonstrably meeting performance specification

 

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