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Trading applications depend on speed and responsive analytics for success and the difference between winning and losing can be measured in milliseconds. Monitoring and analyzing positions against limits in real-time and detecting errors in trading algorithms in real-time are critical to financial performance. Yet with rapidly growing data rates and increasingly fragmented markets, developing applications quickly, with adequate speed to handle these loads, can be a challenge.
The Sybase financial services stack provides a data analytics architecture for the rapid implementation of new applications that can analyze high-volume data streams with very low latency, letting you react instantly to changes in the market and giving you the insight to make timelier decisions. The Sybase award-winning and proven stack is comprised of the Sybase Aleri Event Stream Processor for real-time market data analytics and event processing and Sybase RAP - The Trading Edition for the capture, storage and processing of massive volumes of market data.
- Monitor trade and portfolio performance in real-time to maximize profitibility, reduce risk, and detect issuesbefore they become problems.
- Continuous analytics using real-time data for immediate response to events.
- Analyze trades to identify hidden, transaction, and execution costs and improve performance.
- Test new strategies quickly with results of complex analyses in minutes versus hours.
- Accelerate implementation (up to 80% faster) with reduced cost and shorter time to market.
| Enterprise-grade |
- Top to bottom enterprise – grade components
- Multi-level, high availability architecture prevents data loss from system failure or catastrophe
- Failover to secondary site provides seamless robustness
- Supports third-party high availability storage solutions
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| Scalability and throughput |
- Flexible and powerful enough to support enterprise-wide analytics requirements throughout the trade lifecycle, from streaming and real-time trade analytics to multiyear historical analyses
- Supports incremental scaling for virtually any workload using clusters of commodity hardware
- Allows simultaneous data storage in the low-latency in-memory database and large scale columnar
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| Capacity |
- Column-oriented storage is capable of storing and efficiently retrieving petabytes of market tick
data
- Unique architecture ensures the query performance for tick data with long symbol lists and multi-day periods
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| Integration of real-time and historical data |
- Seamlessly integrates queries on historical tick data with real time updates
- Efficiently processes real-time market data streams simultaneously and independently of writing the data to storage to reduce real-time latency
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| Powerful database tools |
- Extensive OLAP capability allows users to perform transformations, create aggregations and produce summaries with mixed data types and frequencies — and on the large scale required
- Provides an efficient mechanism for constructing and querying market state snapshots. Values in a market state snapshot can contain those of different data types and frequencies, plus values set days or months earlier. For historical analysis, the snapshot is relative to the as-of date of the query.
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Sybase's product offerings for customer analytics include:
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