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- Provides a holistic view of the state of the market—a single repository for both live market and historical data
- Enables faster reaction to market opportunities—helps eliminate overnight batch updates for quantitative analysis and modeling
- Helps reduce time-to-benefit—uses pre-built data models, simplifying and automating common data capture and storage functions
- Built on IBM POWER™ processor-based servers to provide powerful, scalable database serving for time-critical, risk management environments
Today’s global capital markets are under increasing pressure to drive growth and profitability by improving returns on invested capital. To do so, both buy- and sell-side players rely heavily upon the ability to quickly access and analyze massive amounts of market data—both real-time and historical. Most firms have been unable to do this well, as the available solutions force a compromise between the size of the data set versus the depth of analysis. The Sybase® Risk Analytics Platform for IBM Power™ Systems Solution is a consolidated risk and trade data repository designed to manage high-volume, real-time data feeds as well as massive historical and corporate reference data sets. This solution presents time-critical market data in context with other relevant data, which improves the quality and profitability of portfolio and trading decisions.
Solution summary
- Provides a holistic view of the state of the market—a single repository for both live market and historical data
- Enables faster reaction to market opportunities—helps eliminate overnight batch updates for quantitative analysis and modeling
- Helps reduce timeHYPHENto-benefit—preHYPHENbuilt data model simplifies and automates common data capture and storage functions
- Helps reduce effort—Sybase PowerDesigner data model tool simplifies management of physical data schemas over time
- IBMTHSPACEPower Systems servers provide powerful, scalable database serving for time-critical, risk management environments
- Faster—Sybase IQ empowers ad hoc query performance up to 100 times faster than a traditional RDBMS 1
- Less expensive—Uses sophisticated compression algorithms that reduce the volume of data to be stored by up to 70 percent 1
- Easier—does not require timeHYPHEN and resourceHYPHENintensive tuning to obtain excellent performance
- More scalable—Near-linear user and data scalability supports thousands of users and terabytes of data 1
1 www.sybase.com/content/1035804/SybaseIQ_bloor-report.pdf (link resides outside of ibm.com) Bloor Research Report - Sybase IQ, December 2006; www.sybase.com/content/1032408/WinterCorporation2004.pdf (link resides outside of ibm.com) Winter Corporation TopTen Program: Spotlight on Sybase IQ, 2004; InfoSizing DW Reference Architecture Report, June 2004
2 www.dbms2.com/2006/09/28/expansion-ratio-data-warehouse-explosion/ (link resides outside of ibm.com) www.dmreview.com/dmdirect/20031031/7636-1.html (link resides outside of ibm.com)
3 Sybase Risk Analytics Platform performance test performed by Sybase April/May 2007. Results available at Sybase.com published May 2007.
