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Progress Event Engine

Real-time Data Management Infrastructure

Progress® Event Engine™ is a sophisticated data management infrastructure for organization and management of event stream data. Event Engine delivers extraordinary performance in support of a wide range of event stream processing (ESP) applications that include "tick data" trading applications in financial services and RFID applications in supply chain, retail, and manufacturing environments.

Real-time Data Management Infrastructure

Event Engine offers a highly scalable infrastructure for the management of event stream data. Its sophisticated in-memory caching architecture can accommodate up to tens of thousands of events per second on a single server—with distributed, multi-server environments fully supported—thus enabling high volume transaction applications to be developed that transform raw event stream data into business-relevant information. Data managed is accessible directly from Event Engine via an Event Query Language or can be propagated to enterprise business applications via service-oriented integration such as JMS or SOAP.

Event Engine benefits include:

  1. In-Memory Responsiveness - Distributed in-memory caching delivers performance at rates that approach 100,000 events per second.
  2. Extensible Architecture - Customizable architecture supports the assembly of ESP applications using C++, Java, or XML.
  3. Real-Time and Historical Event Management - Supports high volume data input that is unimpeded by simultaneous database queries.
Features at a Glance
  • Memory-Based Architecture leverages a patented Cache-Forward Architecture for rapid data collection and event queries.
  • Event Query Language includes real-time query support of inbound events and persisted historical data.
  • Scalable Performance that supports up to tens of thousands of events per second on single server.

Platform Support

  • Windows NT, 2000, XP
  • Sun Solaris
  • Red Hat Linux

Enable your developers to:

  • Build data management applications that process high volume event streams;
  • Utilize in-memory data management for high performance data collection and query operations;
  • Manage event data in a persistent store with ACID properties;
  • Execute sophisticated analyses of the event stream data via event queries;
  • Propagate query results that aggregate and/or filter raw events to business applications via bundled integration (e.g. Sonic JMS or SOAP).

Contact us and let us show you how our technology can enhance your existing or new applications.

Resources & Related Links:

>> Algorithmic Trading
>> ESP: An online resources for ESP technology and research
>> News and Events
>> Object Database Management
>> Progress RFID
>> Progress Apama
>> RFID Resource Center