🦀 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
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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.
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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.
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.
Stream Processing Abstraction Framework for Java.
Complex event processing engine for IR4 workloads
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🐳 Docker image for riko
The Unified Data Ingestion System is designed to handle both streaming and batch data ingestion with a modular architecture.
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