Here’s the difference between Feast and Preset. The comparison is based on pricing, deployment, business model, and other important factors.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Preset provides data analytics platform for teams. It is an open-source platform that allows users to analyze and provides actionable insights about the data. Its products include Superset that enables visualize data and build dashboards to interpret and show hidden patterns from the data. It enables users to share reports and insights with teams and explore data analytics solutions. It can be integrated with Amazon RedShift, Google BigQuery, Presto and Druid.