Install
Tools
Feature stores
7 tools compared: how each is priced, where it runs, and what to consider instead.
| Tool | Pricing model | Free tier | Open source |
|---|---|---|---|
| Amazon SageMaker Feature Store Fully managed feature repository inside SageMaker that stores, discovers and serves ML features for training and inference. | Usage-based | No | No |
| Chalk Real-time feature platform that computes and serves ML features from Python definitions, deployed inside the customer's own cloud. | Quote only | No | No |
| Databricks Feature Store Feature registry and serving layer built into Databricks Unity Catalog, using Delta tables as feature tables. | Usage-based | No | No |
| Feast Open-source feature store that manages feature definitions, storage, and serving so ML models get consistent features in training and production. | Open source + paid | Yes | Yes |
| Featureform Virtual feature store that turns existing data infrastructure into a governed feature store; now developed by Redis as Redis Feature Form. | Quote only | No | Yes |
| Hopsworks Feature store and MLOps platform pairing a governed feature store with model registry and serving, available self-hosted or as SaaS. | Usage-based | Yes | Yes |
| Vertex AI Feature Store Managed feature-serving module inside Vertex AI that serves ML features from BigQuery data for training and low-latency inference. | Usage-based | No | No |