Stream Processing and Complex Event Processing Engine
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Updated
Mar 12, 2024 - Java
Stream Processing and Complex Event Processing Engine
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Real time data processing system based on flink and CEP
Complex Event Processing on top of Kafka Streams
Simple demo of some features of the Esper Complex Event Processing (CEP) engine.
Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.
core fluxtion static event processor generator tool and runtime components
opensource distributed database with base JPA implementation and event processing support
Small and simple stream-based CEP tool for IoT devices connected to an MQTT broker
An adaptive and self-boosting stream processor
Transpiler to compile from SQL to SiddhiQL
Event processing of client's location on a retail place using Esper
Flink CEP combined with PA model
Mobile node code to run with Deklear
Apama Connectivity Plugin for Apache Pulsar Messaging Framework.
A Complex Event Processing engine for the identification of events related to the resource usage of deployed services.
A universal Java communication framework supporting event, state and component handling, incl. pattern-matching
Bei diesem Projekt handelt es sich um ein Forschungsprojekt der Hochschule der Medien, Stuttgart.
https://github.com/deib-polimi/TRex. T-Rex is a general-purpose Complex Event Processing (CEP) Infrastructure designed to support an expressive language for rule definition while offering efficient processing mechanisms. This repository provides T-Rex engine in Java.
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