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.
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.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
Compositional, streaming I/O library for Scala
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
Lightweight data stream processing engine for IoT edge
Probabilistic data structures for processing continuous, unbounded streams.
Stream Processing and Complex Event Processing Engine
A compatibility layer for event-driven abstractions
Esper Complex Event Processing, Streaming SQL and Event Series Analysis
Low-code tool for automating actions on real time data | Stream processing for the users.
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
Compositional pipelines
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
Multi-core Window-Based Stream Processing Engine
Lightweight SQL-based stream processing engine for IoT edge.
Parallelize _anything_ //
Simple yet powerful live data computation framework.
Simple yet powerful live data computation framework. C++ port of Scramjet framework.