Feature stores are a cornerstone of production ML pipelines.Our mission is to offer an independent review and comparison of the products on the market for data scientists, data engineers and ML engineers.
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.