Feathr

6.6easy start · #8 of 17
in Feature Store Software

Free to practise onnot on record
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on api, Linux, self-hosted, Web.

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Feathr is ranked #8 of 17 in feature store software on The Geeks Club. It runs on API, Linux, Self-hosted, Web.

Compared on feature store software

Online store: Yes
Offline store: Yes
Point-in-time joins: Yes
Feature monitoring: No
Deployment model: both
Serving modes: both

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The record

Purpose: Feathr is a data and AI engineering platform for defining, registering, and sharing data and feature transformations.
AI modeling: Feathr computes feature transformations and joins them to training data using point-in-time-correct semantics to help avoid data leakage.
Transformation API: Feathr provides Pythonic APIs and customizable user-defined functions with native PySpark and Spark SQL support.
Processing modes: Its unified transformation API supports offline batch, streaming, and online environments.
Scale: The project says Feathr can process billions of rows and petabyte-scale data using optimizations such as bloom filters and salted joins.
Feature registry: The built-in registry supports searching features, viewing data sources and lineage, and managing access controls.
Cloud and compute integrations: Documented integrations include Azure Synapse, Databricks, Azure Machine Learning, and Jupyter Notebook.
Storage and streaming integrations: Documented options include Azure Blob Storage, Azure ADLS Gen2, AWS S3, Snowflake, Kafka, EventHub, Redis, and Azure Cosmos DB.
Security controls: The registry access control documentation describes project-level role-based access control with admin, producer, and consumer roles, and says feature-level access control is not supported yet.
Secret handling: The configuration guide says settings can be stored in Kubernetes secrets or a key vault, and that Azure Key Vault is currently supported for retrieving values.
Installation and deployment: The project documents installing its Python client with pip and deploying Feathr on Azure, Databricks, or Azure Synapse; its sandbox is distributed as a Docker container.
License and availability: The GitHub repository is public and its license file specifies Apache License 2.0.
Community support: The project directs users to its Slack channel and GitHub Discussions for questions and discussion.
Project stewardship: The repository says Feathr is a project under the LF AI & Data Foundation and was open sourced in 2022.

Where it ranks on The Geeks Club

Best Feature Store Software in 2026#8 of 17

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Sources

github.com/feathr-ai/feathr· checked 3 Oct 2026
feathr-ai.github.io/feathr/concepts/registry-access-control· checked 3 Oct 2026
feathr-ai.github.io/feathr/how-to-guides/feathr-configurati· checked 3 Oct 2026
github.com/feathr-ai/feathr/blob/main/LICENSE· checked 3 Oct 2026
feathr-ai.github.io/feathr/concepts/feature-registry.html· checked 4 Oct 2026
feathr-ai.github.io/feathr/concepts/faq.html· checked 4 Oct 2026