Here’s the difference between kaskada and Molecula. The comparison is based on pricing, deployment, business model, and other important factors.
Kaskada is a machine learning company that empowers data scientists to collaborate on the feature engineering process and to achieve repeatable success with models running in production. kaskada feature engineering platform provides a collaborative interface for data scientists and robust data infrastructure for computing, storing, and serving features in production.
Molecula provides IoT-based analytic solutions. It claims to provide an open-source data access platform for industries that are facing high data volume. It helps the users to process real-time complex analytics and get data insights using machine learning to take necessary actions.