Feast

What it is

Feast is a feature store that provides consistent access to machine learning features for both training and serving, streamlining the process of managing and discovering these features.

Feast stands out as an open-source feature store that provides robust support for both real-time and historical features, ensuring consistency across training and serving environments.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited support for data sources beyond the popular ones mentioned

   Integration with less common databases or data warehouses is not well-documented or supported

2. 02

   Complex setup and configuration process

   Setting up Feast involves multiple components including the registry, online store, and serving layer which can be challenging to configure correctly

What it does well

• Unified access to features for both training and serving

• Supports real-time feature retrieval

• Integration with popular data sources like BigQuery, Snowflake, and Redis

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.