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Python Stream Processing
Stream processing library porting ideas from Kafka Streams to Python. Used for building high-performance and reliable real-time stream processing applications with Pythonic API.
Explore hands-on projects that use Faust to build real-world data engineering solutions.
Distributed Event Streaming Platform
Distributed event streaming platform capable of handling trillions of events a day. Used for building real-time streaming data pipelines and applications with high-throughput, fault-tolerance, and scalability.
Stream Processing Framework
Framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Known for high performance in streaming data processing with exactly-once semantics.
Real-Time Computation System
Real-time computation system making it easy to process unbounded streams of data reliably. Fast and scalable distributed real-time computation framework for stream processing.