Data Stream Processing

Apache Beam is an open-source unified programming model for defining and executing data processing pipelines, supporting...

Apache Flink is a distributed stream processing framework designed for high-throughput, low-latency data processing. It ...

Apache Kafka is a distributed event streaming platform designed to handle high-throughput, real-time data feeds. It enab...

Apache Samza is a distributed stream processing framework designed to handle high-volume, real-time data streams. It int...

Apache Spark is a unified analytics engine for large-scale data processing, supporting batch processing, real-time strea...

Bytewax is a Python-native stream processing framework with a Rust-based engine, designed for handling stateful data str...

FastStream is a Python framework designed for efficient data stream processing, supporting multiple messaging protocols ...

MOA (Massive Online Analysis) is an open-source framework designed for real-time data stream mining and machine learning...

MosaicML Streaming enables efficient, deterministic streaming of large-scale datasets from cloud storage to support dist...

RisingWave is a distributed SQL streaming database designed to process and serve real-time data streams efficiently. It ...

TensorStore is a library designed for efficient storage and retrieval of large multi-dimensional arrays, particularly su...