This documentation is for WSO2 Complex Event Processor 4.0.0. View documentation for the latest release.
WSO2 Complex Event Processor is succeeded by WSO2 Stream Processor. To view the latest documentation for WSO2 SP, see WSO2 Stream Processor Documentation.
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Feature

Description

Extremely High Performant Processing Engine

  • Process more than 2.5M events per sec on single-server commodity hardware
  • Powered by WSO2 Siddhi

Powerful and Extensible Query Language for Temporal Event Stream Processing

  • Filter events by conditions
  • Join event streams and create new streams
  • Execute temporal queries using various windows
  • Detect and respond to various event patterns and sequences
  • Process historical data in RDBMS in real-time
  • Maintenance of execution plan templates

Support for Rich Event Model

  • Events modeled as tuples of metadata, correlation data and payload data.
  • Support for typed properties including integral types, floating types, string and Boolean

Extremely High Performant Event Capturing and Delivery Framework Over Apache Thrift or HTTP

  • Java data publisher agent to plug into any Java based system
  • Data publisher agent support in other languages (C/C++/C#) via Thrift language bindings
  • Horizontally scalable to support very large event volumes

Easily Integrates with any Enterprise System for Event Capture

  • RESTful HTTP protocol with JSON, XML and Text
  • JMS Map, JSON, XML and Text messages
  • SOAP over any transport protocol
  • Kafka, File and Email protocols with JSON, XML and Text messages

Effective Event Publishing to Enterprise Systems and Custom Notifications

  • XML, JSON, Map, Text events via JMS protocol
  • E-mail, SMS notifications
  • Service calls to notify RESTful services and Web services
  • MySQL and Cassandra writers
IoT (Internet of Things) Integration
  • MQTT protocol
Debugging Support
  • Event tracing, flow visualization and event simulation capabilities

Massively Scalable

  • Support large numbers of queries via partitioning into different servers
  • Massive working memory support via distributed caching with Hazelcast
  • Distributed chaining of complex queries

Highly Available Deployment

  • Run CEP with redundant nodes and with coordination and state sharing
Distributed Real Time Processing
  • WSO2 CEP Integrates with Apache Storm

Support for Long Duration Queries

  • Queries can have lifetimes that are much greater than server uptime
  • Support periodic snapshots that can store all state information and windows to a scalable persistence store (Apache Cassandra).
  • Pluggable persistent stores

Tightly Integrates with WSO2 Data Analytics Server

  • Leverage Lambda architecture to integrate post-processed data with real-time data processing
  • Support recording and post processing of events with Map-Reduce via Apache Hadoop

Built-in Support for WSO2 Products

  • Pre-built event sources from other WSO2 products

Lightweight, Developer Friendly and Easy to Deploy

  • Server customization via provisioning of features
  • Deployment options from on-premise to private or public clouds, without configuration changes
  • Integrated with WSO2 Developer Studio, the Eclipse-based IDE for all WSO2 products

Manage and Monitor

  • Comprehensive management and monitoring Web console with enterprise-level security
  • Built-in collection and monitoring of standard access and performance statistics
  • Flexible logging support with integration to enterprise logging systems
  • In build support for rich representation of data through a dashboard
  • Simulating capabilities via the Event Simulator and Siddhi Try-it Tool.
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