Feathr

What it is

Feathr is an enterprise-grade, high-performance feature store designed to manage and serve features for machine learning models efficiently. It helps in scaling the data pipeline from raw data to model-ready features with ease.

Feathr stands out with its focus on high performance and scalability, making it ideal for large enterprises that require efficient feature management in their machine learning workflows.

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 language support beyond Java and Python

   Primary development in Java, secondary support for Python; other languages require community SDKs

2. 02

   Complex setup and configuration process

   Requires integration with Apache Spark and other dependencies which can be challenging to set up correctly

What it does well

• High performance feature serving

• Support for both batch and real-time features

• Integration with Apache Spark for offline feature computation

• Scalable architecture

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.