Features

Feature	Description
Extremely High Performant Processing Engine	Process about 100K+ events per sec on single-server commodity hardware Powered by WSO2 Siddhi
Powerful and Extensible Query Language for Temporal Event Stream Processing	SQL like query language 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 Instigates with In-Memory and RDBMS data stores for correlating historical data with real-time Partitioning support to achieve parallel processing Maintenance of execution plan templates
Easy to used Execution Management	Suitable for business users to edit and manage realtime executions logic Users interact with forms instead SQL Queries Queries and logics are templated to hide the complexity
Support for Rich Event Model	Events modelled 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 Binary and Apache Thrift	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 message formats Map, JSON, XML and Text messages support via JMS SOAP over any transport protocol Kafka, MQTT, File, Websocket and Email protocols with JSON, XML and Text messages
Support Multiple Alert Nitrifying Mechanisms	XML, JSON, Map, Text events via JMS protocol E-mail, SMS notifications Service calls to notify RESTful and Web services MySQL and Cassandra writers Kafka, MQTT, File, Websocket protocols supporting JSON, XML and Text messages alerts
IoT (Internet of Things) Integration	With MQTT protocol
Debugging Support	Event tracing, Event Flow visualization and Event Simulation capabilities Siddhi TryIt to try out Siddhi queries
Massively Scalable	Distributed Real Time Processing Support highly scalable deployments with Apache Storm and WSO2 Siddhi Deploys numbers of queries partitioning them into different servers
Highly Available Deployment	Run CEP in active-passive deployment with zero downtime Coordinates event and state sharing
Support for Long Duration Queries	Queries can have lifetimes that are much greater than server uptime Supported via HA deployment and persistence snapshot deployment Support periodic snapshots that can store all state information and windows to a scalable persistence store 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 Spark
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.