stream-processing

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Cross-platform, customizable ML solutions for live and streaming media.

A high-performance observability data pipeline.

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Building event-driven applications the easy way in Go.

Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.

Fancy stream processing made operationally mundane

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

Upserts, Deletes And Incremental Processing on Big Data.

🌊 Online machine learning in Python

🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

Distributed stream processing engine in Rust

Kubernetes-native platform to run massively parallel data/streaming jobs

High-performance time-series aggregation for PostgreSQL

Python Stream Processing

Platform for Situated Intelligence