What Feast Feature Store does
Feast is an open source feature store for machine learning. It lets teams define, manage, discover, and serve features for AI and LLM applications during training and inference. Listed use cases include real-time recommendations, fraud detection, risk scoring, and customer segmentation. Its code example shows get_historical_features for training data, get_online_features for inference, and retrieve_online_documents for vector similarity search in retrieval-augmented generation. Supported offline stores include Snowflake, BigQuery, and Spark, and online stores include Redis, DynamoDB, and Cassandra. The page does not state a pricing model.
How Feast Feature Store compares with its closest alternatives
4 of the 5 closest alternatives have a free plan, as Feast Feature Store does. 4 of the 5 offer an API, as Feast Feature Store does. Feast Feature Store offers a command-line tool. Of the alternatives, 3 offer a command-line tool. Feast Feature Store was founded in 2019; the alternatives were founded between 2010 and 2021, 3 of them earlier. The alternatives with a known headquarters are in the United States and the Netherlands.