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 Spark - A unified analytics engine for large-scale data processing
Apache Flink
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Fancy stream processing made operationally mundane
Apache Beam is a unified programming model for Batch and Streaming data processing.
Fast and Lightweight Logs, Metrics and Traces processor for Linux, BSD, OSX and Windows
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.
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Distributed stream processing engine in Rust
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.
Kubernetes-native platform to run massively parallel data/streaming jobs
Concurrent and multi-stage data ingestion and data processing with Elixir
A lightweight stream processing library for Go
Python Stream Processing
Lightweight data stream processing engine for IoT edge
Probabilistic data structures for processing continuous, unbounded streams.
Stream Processing and Complex Event Processing Engine
Python Streaming DataFrames for Kafka
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
tools for working with streams of data
Real-time stream processing for python
Trill is a single-node query processor for temporal or streaming data.