CrateDB is an hyper-fast opensource distributed database technology that combines the best out of the SQL and NoSQL worlds. It supports the PostgreSQL wire protocol for easy integration with many data engineering tools.
MLflow is an open-source platform designed to manage the ML lifecycle, encompassing experimentation, reproducibility, deployment, and a central model registry.
MLflow and CrateDB work together to improve machine learning workflows. The MLflow adapter for CrateDB, available via the mlflow-cratedb package, allows CrateDB to function as a storage database for the MLflow Tracking subsystem, which is responsible for recording and querying experiments across code, data, config, and results. This integration facilitates the efficient management of the ML lifecycle, enhancing the reproducibility and deployment of machine learning models.