Stream Processing and Complex Event Processing Engine
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Updated
Aug 28, 2024 - Java
Stream Processing and Complex Event Processing Engine
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Complex Event Processing on top of Kafka Streams
Real time data processing system based on flink and CEP
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.
Simple demo of some features of the Esper Complex Event Processing (CEP) engine.
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
A Java concurrent API to asynchronously execute related tasks sequentially, and unrelated tasks concurrently.
An adaptive and self-boosting stream processor
Bei diesem Projekt handelt es sich um ein Forschungsprojekt der Hochschule der Medien, Stuttgart.
Control Structures and Paradigms in Java on the JVM
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.
Mobile node code to run with Deklear
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.
Event processing of client's location on a retail place using Esper
Flink CEP combined with PA model
Transpiler to compile from SQL to SiddhiQL
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