Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Apache Flink
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Apache Beam is a unified programming model for Batch and Streaming data processing.
Apache Storm
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
Ruby and Rails efficient Kafka processing framework
Python Stream Processing
Python Streaming DataFrames for Kafka
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
Mirror of Apache Samza
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Lightweight real-time big data streaming engine over Apache Pekko
Low-code tool for automating actions on real time data | Stream processing for the users.
.NET Stream Processing Library for Apache Kafka 🚀
A streaming / online query processing / analytics engine based on Apache Storm
Mirror of Apache Samoa (Incubating)
Machine is a workflow/pipeline library for processing data