Feature Store Solutions for AI
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01.
Tacnode Feature Store computes and serves
features directly on live system state. No
warehouse. No reverse ETL. No sync gap.
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02.
Amazon SageMaker Feature Store is a fully
managed, purpose-built repository to store,
update, retrieve, and share machine learning
(ML) features.
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03.
Feast is a standalone, open-source feature store
that organizations use to store and serve
features consistently for offline training and
online inference.
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04.
Featureform allows data scientists to define,
manage, and serve machine learning features
across your organization.
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05.
Hopsworks - The unified platform for feature
engineering, real-time ML, and production AI.
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06.
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
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07.
The JFrog ML Feature Store optimizes the entire
feature lifecycle, allowing feature
collaboration, ensuring consistency, and
enhancing reliability in feature engineering and
deployment.
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08.
Butterfree - A tool for building feature stores.
Transform your raw data into beautiful
features.
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09.
Iguazio Integrated Feature Store -Easily
engineer online and offline features, share them
across teams and ML applications with minimal
development and integration effort
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10.
Feathr – An Enterprise-Grade, High Performance
Feature Store
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11.
Kaskada is a next-generation streaming engine
that connects AI models to real-time &
historical data.