Related Solutions
Market insight depends on having the right context for understanding current market conditions, and the ability to quickly assess strategies. The velocity and volume of data today is overwhelming, and without the ability to effectively consolidate multiple data sources and handle cleansing and normalization, market data is not usable or actionable.
The solution is an architecture that can handle vast amounts of data, consolidated from multiple sources, and quickly deliver analytic results. 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, and efficiently manage high volumes of real-time and historical data, giving you the insight to make timelier decisions based on a more complete picture of the market and historical context. The Sybase stack is comprised of the Sybase Aleri Event Streaming 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.
- Work with real-time computed values such as indices, market statistics, and theoretical prices
- Consolidate real-time market data from multiple sources
- Analyze current conditions in the context of historical data
- Run deep analytics on historical data to validate models very quickly
| 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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