Sybase RAP is the award-winning enterprise-class platform that combines real-time tick capture, trade capture, and historical analytics in a single integrated platform
In the fast-paced world of capital markets, the ability to assess the state of the market and act ahead of others is critical. This involves more than simply getting live market data to applications faster. The real challenge is in constructing a holistic view of the market and/or your positions and exposures by combining historical data with real-time market data. Data is typically fragmented into multiple silos, and consolidating data into a unified data set that can support multiple analytics requirements—from real-time trade analytics to multi-year historical and quantitative analysis—has been difficult if not impossible – until now. Sybase RAP provides a single platform that provides high- speed data absorption with simultaneous and immediate access to common data needed by multiple user communities, including quants, traders, and risk managers, supplying data to trading applications and enabling intra-day risk management and market analysis.
Analytics
Accelerate application
development
A rich set of aggregate, ranking, statistical and mathematical functions, including standard deviation, variance, covariance, correlation, weighted averages, linear regression, and more
Ability to apply aggregate functions to subsets of data using GROUP BY and windowing
Rich and extensible functions
for time-series analytics
Fit time series data and predict future values
Model-based estimation of missing data
Detect outliers and adjust models for their effects
Find correlation structure in data with autocorrelation and partial autocorrelation functions
Easily scale out to tackle increasing and/or changing workloads via clusters of low-cost commodity hardware
Proven high availability for all components
Low TCO
Economically maintain petabytes of historical data online via compression, indexing and hierarchical storage management
Automated data management for transferring derived data from cache to historical repository and for optimizing the amount of data stored in-memory
Selective data placement, partitioning and management features optimize storage and access patterns for different storage tiers and reduce the administrative overhead of managing large databases
One vendor
One solution for analytics and streaming data management
Integrated CEP and event storage provides analysis and persistence of raw, cleansed and/or enriched market data streams in real-time intra-day and historical event stores
Event stream processing
Respond quickly with
minimal latency
Support for continuous analytics and alerts with low-latency streaming output
Native C/C++ engine, adapters and analytics offer consistently low latency and high throughput
Real-Time Risk Aggregation
