Conventional relational database management systems (RDBMS) cannot meet the real-time query requirements for automated securities trading and real-time market analysis.
RAP consolidates risk data, reference data, and real-time and historical trade data into a single repository that presents the data to different application environments in real time. It also includes built-in event processing through Sybase Event Stream Processor.
RAP supports different applications, such as pre- and posttrade analyses, quantitative modeling, and scenario-based backtesting against a shared database. It distributes the query workload across the cache and the repository based on the time-criticality of the data access requirements of each application.
RAP has been designed for high performance and concurrent retrievals by a large user population. The next-generation automated trading infrastructure in institutional trading and prime brokerage firms is characterized by a limited number of inbound data streams (that represent market data delivery channels) and a high number of concurrent reader processes that access indexed columns to retrieve large data sets for analysis. The architecture of RAP meets these requirements.