Here’s the difference between Tecton and kaskada. The comparison is based on pricing, deployment, business model, and other important factors.
Tecton provides a data platform for machine learning models. Allows users to build models with features like batch, streaming & real-time data and deploy features in production. Also provides solutions to build training data sets and monitor production features for detecting breakages & drift.
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.