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Progress Apama Research Studio and EventStore

Progress® Apama® Research Studio and EventStore provide sophisticated backtesting and analysis for the Progress Apama environment. They enable Apama users to investigate the likely behavior of Apama Scenarios prior to deployment, as well as analyze the actual performance of those Scenarios already in production.

Progress Apama provides a sophisticated set of backtesting and analysis capabilities via its Progress Apama Research Studio module. Research Studio delivers a TiVo®-like event replay capability that allows Scenario developers to interactively explore the prospective behavior of Apama Scenarios (such as new trading strategies) prior to deployment. Research Studio also supports "digital forensics" operations that allow users to audit the performance of Apama strategies already in deployment.

Research Studio works with Progress Apama EventStore, a comprehensive time series data store. EventStore captures and manages both native event stream data received by Apama from external sources, as well as "derived" events that result from any analytical calculations and actions that result from Apama Scenario execution.

Apama Research Studio
EventStore and Research Studio Screenshot

Research Studio and EventStore provide tremendous flexibility in the options available to users. Backtesting and analysis can include all events received within the EventStore or only selected event streams. Likewise, users can choose specific segments of time from the past (e.g. an entire day, a specific 30 minute period, or any user chosen time slice). Additionally, replay speeds can be accelerated many times the actual live speeds, or slowed down or paused for more careful exploration of event processing operations. EventStore also support export of event segments into third party environments for query and analysis.

You may also be interested in:

Apama Architecture
> Overview
> Event Modeler
> Event Manager
> Research Studio
and EventStore
> Dashboards
> SmartBlocks
> Integration Framework
> Connectivity

ESP for Event Driven Architectures
> Read Whitepaper

Get Up to Speed with ESP
An insightful webinar series that explores event processing and you can how leverage real event stream data to test and analyze applications.
> Part I: Panel of Experts
> Part II: Architectural
Foundations
> Part III: Event Reply
and Analysis

Progress Apama - An 'Evaluation' paper by Bloor Research
> Read Analyst Paper

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Progress Software Corporation supplies business application platform, soa infrastructure and data infrastructure software that simplifies and accelerates the development, deployment, integration and management of business applications and Service-Oriented Architecture (SOA). Our superior business application platforms include Progress OpenEdge for high performance SOA integration and software as a service (SaaS), and Progress Apama for complex event processing. Our innovative event-driven SOA infrastructure solutions include Progress Sonic Enterprise Service Bus (ESB), Progress DataXtend semantic data integration, Progress Actional SOA management and SOA governance, and DataDirect data connectivity for mainframe SOA and web services. Our data infrastructure products include DataDirect Connect for database driver and data provider connections to relational databases and XML data integration, EasyAsk for enterprise search and e-commerce, and ObjectStore object data management.

Progress Apama is the market-leading platform for building algorithmically-driven applications. With its powerful complex event processing (CEP) engine and tools for business and IT, Apama powers Capital Markets applications like algorithmic trading, risk management, market surveillance, market aggregation, smart order routing in equities, FX, derivatives, and fixed income markets. Outside Capital Markets, Apama supports CEP-powered applications (including real-time Business Activity Monitoring) in a range of different time-sensitive markets, and delivers the real-time correlations that power an event-driven SOA infrastructure.