Editing Complex event processing (section)

==See also==
* [[Event correlation]]
* [[Event-driven architecture]] — (EDA)  is a software architecture pattern promoting the production, detection, consumption of, and reaction to events.
* [[Staged event-driven architecture|SEDA]] - Staged event-driven architecture decomposes complex, event-driven architectures into stages
* [[Event Processing Technical Society]] — (EPTS) is an event processing community of interest
* [[Event stream processing]] — (ESP) is a related technology that focuses on processing streams of related data.
* [[Kinetic Rule Language]] — (KRL) is an event-condition-action rule language with an embedded complex event expression language.
* [[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]]

===Vendors and products===
* [[Apama (software)|Apama]] by [[Software AG]] - monitors rapidly moving event streams, detects and analyzes important patterns, and takes action according to rules.<ref>[http://www.softwareag.com/corporate/products/bigdata/apama/overview/default.asp Apama Real-Time Analytics Overview] {{Webarchive|url=https://web.archive.org/web/20151025155227/http://www.softwareag.com/corporate/products/bigdata/apama/overview/default.asp |date=2015-10-25 }}. Softwareag.com. Retrieved on 2013-09-18.</ref>
* [[Azure Stream Analytics]]
* [[Drools|Drools Fusion]]
* [[Esper (software)|Esper]] Complex event processing for Java and C# (GPLv2).
* [[Feedzai|Feedzai - Pulse]]
* [[Microsoft|Microsoft StreamInsight]] Microsoft CEP Engine implementation<ref>{{cite web|url=https://technet.microsoft.com/en-us/library/ee362541(v=sql.111).aspx|title=Microsoft StreamInsight|website=technet.microsoft.com|date=28 July 2016 }}</ref>
* [[openPDC]] — A set of applications for processing streaming time-series data in real-time.
* [[Oracle SOA Suite|Oracle Event Processing]] - for building applications to filter, correlate, and process events in real time.
* [[SAP SE|SAP ESP]] - A low-latency, rapid development and deployment platform that allows processing multiple streams of data in real time<ref>{{Cite web |url=http://scn.sap.com/community/developer-center/esp |title=SAP ESP - Developers community |access-date=2014-07-17 |archive-url=https://web.archive.org/web/20150105095944/http://scn.sap.com/community/developer-center/esp |archive-date=2015-01-05 |url-status=dead }}</ref>
* SQLstream SQLstream's stream processing platform, s-Server, provides a relational stream computing platform for analyzing large volumes of service, sensor and machine and log file data in real-time.
* [[TIBCO| TIBCO BusinessEvents & Streambase ]] - CEP platform and High Performance Low Latency Event Stream Processing 
* [[WebSphere Business Events]]
* [[Apache Flink]] Open-source distributed stream processing framework with a CEP API<ref>{{cite web|url=https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/libs/cep.html|title=Apache Flink 1.2 Documentation: FlinkCEP - Complex event processing for Flink|website=ci.apache.org}}</ref> for Java and Scala.
* [[Apache Storm]] Free and open source distributed realtime computation system. Storm processes unbounded streams of data in realtime.