Pathway

Pathway provides a comprehensive data processing framework that caters to Python and AI developers, enabling real-time integration of machine learning models and APIs for various AI applications. The framework’s engine, built on Rust, allows for interactive development with Python, supporting the processing of millions of data points per second. This capability ensures consistency and predictability while scaling across multiple workers. Pathway’s technology supports a wide range of use cases, from classical streaming to data indexing for knowledge management. Key features of the framework include powerful data transformations, high processing speed, and scalability. It supports both batch and streaming data processing, suitable for SQL and ML/AI applications, and offers real-time request serving capabilities, including a real-time feature store and advanced query APIs. Developers can engage in interactive development using Jupyter notebooks, facilitating data experimentation for both batch and streaming data. The deployment process is streamlined through testing, continuous integration and deployment (CI/CD), and containerized deployment using Kubernetes and Docker. Pathway ensures streaming consistency and is built on a native development stack based on the Java Virtual Machine, which supports code developed in Java or Scala. Its Python API is structured around Table objects, akin to Spark RDD or pandas DataFrame, and its SQL API allows developers and data analysts to apply their existing SQL skills in real-time streaming contexts.