There are 2 repositories under stream-processing-engine topic.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Distributed stream processing engine in Rust
Distributed Stream Processing
Streaming System 相关的论文读物
Grid Solutions Framework
Open Source Phasor Data Concentrator
A High-performance Cluster Computing Engine
An event stream processor anyone can use
A streaming real-time event processor based on Riemann written in Node.js -- Streams2/3 edition
An HTTP dashboard for Godot2.
Anti-Cheat Detection for Game Streaming
Velostream is a high-performance streaming SQL engine built in Rust, designed for real-time analytics on financial and time-series data. It supports pluggable formats (JSON, Avro, Protobuf) and emphasizes low-latency processing, precision, and seamless integration with modern data pipelines
Rust-native, pattern-first stream processing engine (CEP): filters, joins, enrichment, windows—low latency on-prem & Kubernetes.
Complex event processing engine for IR4 workloads
The Unified Data Ingestion System is designed to handle both streaming and batch data ingestion with a modular architecture.
Conduit is a no-code, next-gen data ingestion platform that unifies pipelines across databases, files, and streams. With drag-and-drop workflows, real-time monitoring, and broad source support, Conduit makes data integration fast, scalable, and accessible to all teams.
:whale: Docker image for riko