Esper (software)
 | This article includes a list of general references, but it lacks sufficient corresponding inline citations. (March 2015) |
| Developer(s) | EsperTech Inc. |
|---|---|
| Stable release | check website
|
| Repository | |
| Written in | Java, C# |
| Operating system | Cross-platform |
| Type | Complex Event Processing |
| License | GPL v2 |
| Website | www |
Esper is an open-source Java-based software product for Complex event processing (CEP) and Event stream processing (ESP), that analyzes series of events for deriving conclusions from them.
Esper extends the SQL-92 standard for its engine and enterprise framework, providing Aggregate function, Pattern matching, event windowing and joining. Esper implements Event-driven programming and event-driven architecture.
Esper was created in 2006 by EsperTech Inc. It offers a Domain-specific language for processing events called Event Processing Language (EPL). EPL is a Declarative programming language for analyzing time-based event data and detecting situations as they occur.
Esper is a Java-based application but has been ported to the C# programming language and is available for the .NET Framework under the name NEsper.
EsperTech Inc. provides Esper Enterprise Edition[1] with enterprise-ability features.
Example[edit]
This example[2] illustrates a simple EPL query that outputs a row immediately when within a sliding window of 3 minutes the number of order events reaches 5 or more events.
select count(*) from OrderEvent#time(3 min) having count(*) >= 5
Related systems[edit]
- Rapide (Stanford)
- StreamSQL: StreamSQL is a query language that extends SQL with the ability to process real-time data streams.
See also[edit]
- Complex event processing (CEP) - A related technology for building and managing event-driven information systems.
- Data Stream Management System (DSMS) - A type of software system for managing and querying data streams
- Event correlation
- Event-driven architecture — (EDA) is a software architecture pattern promoting the production, detection, consumption of, and reaction to events.
- Event stream processing — (ESP) is a related technology that focuses on processing streams of related data.
- Operational intelligence — Both CEP and ESP are technologies that underpin operational intelligence.
- Pattern matching
- Real-time business intelligence — Business Intelligence is the application of knowledge derived from CEP systems
- Real-time computing — CEP systems are typically real-time systems
- Real time enterprise
References[edit]
- ^ "Esper Enterprise Edition". Espertech.com. Retrieved 2015-03-08.
- ^ "Page Redirection". www.espertech.com/esper. Retrieved 2015-03-08.
External links[edit]
- Esper Official Website
- EsperTech Inc.
- Research Papers referencing Esper, by Google Scholar
- Analysis of Complex Event Processing with Esper by Eric Miller, a book on Esper and CEP.
- Event Processing in Action by Opher Etzion and Peter Niblett, Manning Publications (ISBN 9781935182214), a book that provides Esper examples
- Open Source SOA by Jeff Davis, Manning Publications (ISBN 1933988541), a book that provides examples of Esper for monitoring web services
- OSWorkflow: A guide for Java developers and architects to integrating open-source Business Process Management, by Diego Adrian Naya Lazo, PACKT (ISBN 978-1847191526 ), a book with a chapter on Esper
- Fraunhofer CEP Market Overview, by Fraunhofer, year 2010
- Forrester Wave for Complex Event Processing, by Forrester - Oct. '09
- Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse, InfoQ - Sept. '14