Feature stores
Feature stores covers systems that manage and serve the input data models use, for both training and live predictions.
In brief
Feature stores, in brief.
What it isFeature stores covers systems that manage and serve the input data models use, for both training and live predictions.
Where it sitsOne of 12 categories in the Training and fine-tuning layer. Training and fine-tuning covers the frameworks, libraries and platforms used to train a model from scratch or adapt an existing one to a task, and the tools that track those experiments.
What we track15 products, including Amazon SageMaker Feature Store, Azure Machine Learning managed feature store, Chalk, Databricks Feature Engineering in Unity Catalog and Feast.
The products
15 products in Feature stores.
Each name opens a search for that product in our index.
ProductMakerIts own site
From our census of 2026-11-08. A product listed here is one that belongs in this category; the search answer says whether we have checked it.
Questions
Feature stores, answered.
What is Feature stores in AI infrastructure?Feature stores covers systems that manage and serve the input data models use, for both training and live predictions.
Which layer of AI infrastructure is Feature stores in?Feature stores is in the Training and fine-tuning layer. Training and fine-tuning covers the frameworks, libraries and platforms used to train a model from scratch or adapt an existing one to a task, and the tools that track those experiments.
Which products are in Feature stores?We track 15 products in Feature stores, including Amazon SageMaker Feature Store, Azure Machine Learning managed feature store, Chalk, Databricks Feature Engineering in Unity Catalog, Feast, Feathr (low activity), FeatureByte and Featureform. The full list is on this page.
Training and fine-tuning
The other categories in Training and fine-tuning.
AutoML & hyperparameter optimizationComputer vision toolkits & platformsDeep learning & ML frameworksDistributed training frameworksExperiment trackingFederated & privacy-preserving learningFine-tuning platformsML workflow / MLOps platformsOpen-source fine-tuning librariesRL / post-training librariesRL environments & gyms