The Financial Services Industry, like the Telecommunications Industry, has to process large volumes of rapidly changing data. Often the timeliness and completeness of those data constitute essential value in using them. For this reason, continuous aggregation and combining of data in near real-time is a fundamental requirement for a large number of Financial Services applications.

Examples of Data Sources

Database Limitations

Databases are excellent repositories of historical records for the data sources listed above. However, in terms of tracking changes to such data in real-time or near real-time, databases are quite limited. Each set of new or changed service data can require running potentially thousands of queries or other processing tasks.

Here are some of the activities that might need to be performed:

Bypassing Such Limitations

SQLstream's RAMMS provides a much more scalable and responsive SQL-based engine for managing, reusing, transforming, and creating relevant and useful data than RDBMS.