Machine Learning (ML) Feature Stores
- 01. Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features.
- 02. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
- 03. Tecton is a fully-managed feature platform built to orchestrate the complete lifecycle of features, from transformation to online serving, with enterprise-grade SLAs.
- 04. Feast is a standalone, open-source feature store that organizations use to store and serve features consistently for offline training and online inference.
- 05. Featureform - Easily manage your Machine Learning Features across your organization.
- 06. Hopsworks, an enterprise Feature Store
- 07. Splice Machine is a single-engine feature store, powered by one ACID-compliant dual OLTP/OLAP RDBMS.
- 08. Databricks Feature Store provide data teams with the ability to create new features, explore and reuse existing ones, publish features to low-latency online stores, build training data sets and retrieve feature values
- 09. Qwak’s Feature Store - A data platform for machine learning that facilitates the discoverability, reuse, and accuracy of features.
- 10. Butterfree - A tool for building feature stores. Transform your raw data into beautiful features.
- 11. Iguazio Integrated Feature Store -Easily engineer online and offline features, share them across teams and ML applications with minimal development and integration effort
- 12. FeatureBase is a feature-oriented database platform that powers real-time analytics and machine learning applications
- 13. Feathr – An Enterprise-Grade, High Performance Feature Store
- 14. Kaskada's query language builds on the best features of SQL to provide a more expressive way to compute over events.