#stream-processing

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

FastStream is an asynchronous Python framework for building event-driven applications. It brings together message broker integration, dependency injection, validation, testing utilities, and AsyncAPI documentation generation in a single toolkit

🌊 Online machine learning in Python

A high-performance observability data pipeline.

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

Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage

Fancy stream processing made operationally mundane

A library to build streaming applications that consume from and produce to Kafka.

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.