Feature stores vs model registries

Feature stores and model registries are essential components of the machine learning lifecycle. In order to ensure organized, reproducible, and sharable results, you need to keep a comprehensive record of the various resources you have created over time, keeping careful track of how they evolve and change and how this impacts the overall development process.