Apache Beam
OSSApache Beam is an open-source unified programming model for defining and executing data processing pipelines, supporting...
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MosaicML Streaming enables efficient, deterministic streaming of large-scale datasets from cloud storage to support distributed machine learning training. It optimizes data loading to minimize bottlenecks and ensure reproducibility in training pipelines. The tool is designed to handle petabyte-scale datasets with low latency.
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...
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...