
Feast
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| Fact | Feast | Snowflake Feature Store |
|---|---|---|
| Transformations | The architecture docs say Feast supports transformations for on-demand and streaming sources, while batch transformations require a separate transformation engine. | Feature transformations can be authored in Python or SQL. |
Feast is designed for data scientists, MLOps engineers, data engineers, and AI engineers managing features for AI or machine-learning applications. It suits teams that need batch and real-time serving or point-in-time-correct training data.
It suits data scientists and ML engineers who build or maintain features in Snowflake. Teams using Python, SQL, or dbt can work with the corresponding transformation and pipeline options.