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Tech riderRev. 21 Sept 2026

Feathr

Ch 066.9of 17 Feature Store Software
  1. 1Runs onAPI, Linux, self-hosted, Web
  2. 2CostsNot stated by the maker
  3. 3Online storeYes
  4. 4Offline storeYes
  5. 5Point-in-time joinsYes
  6. 6Feature monitoringNo
  7. 7Deployment modelboth
  8. 8Serving modesboth
7 lines stated Written from the maker's own pages: github.com
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The Feathr homepage

Overview

Feathr is ranked #6 of 17 in feature store software on Specifiction. It runs on API, Linux, Self-hosted, Web.

Compared on feature store software

Online store
Yesgithub.com
Offline store
Yesgithub.com
Point-in-time joins
Yesgithub.com
Feature monitoring
Nogithub.com
Deployment model
bothgithub.com
Serving modes
bothgithub.com

Facts

Purpose
Feathr is a data and AI engineering platform for defining, registering, and sharing data and feature transformations.github.com · 3 Oct 2026
AI modeling
Feathr computes feature transformations and joins them to training data using point-in-time-correct semantics to help avoid data leakage.github.com · 3 Oct 2026
Transformation API
Feathr provides Pythonic APIs and customizable user-defined functions with native PySpark and Spark SQL support.github.com · 3 Oct 2026
Processing modes
Its unified transformation API supports offline batch, streaming, and online environments.github.com · 3 Oct 2026
Scale
The project says Feathr can process billions of rows and petabyte-scale data using optimizations such as bloom filters and salted joins.github.com · 3 Oct 2026
Feature registry
The built-in registry supports searching features, viewing data sources and lineage, and managing access controls.github.com · 3 Oct 2026
Cloud and compute integrations
Documented integrations include Azure Synapse, Databricks, Azure Machine Learning, and Jupyter Notebook.github.com · 3 Oct 2026
Storage and streaming integrations
Documented options include Azure Blob Storage, Azure ADLS Gen2, AWS S3, Snowflake, Kafka, EventHub, Redis, and Azure Cosmos DB.github.com · 3 Oct 2026
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.feathr-ai.github.io · 3 Oct 2026
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.feathr-ai.github.io · 3 Oct 2026
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.github.com · 3 Oct 2026
License and availability
The GitHub repository is public and its license file specifies Apache License 2.0.github.com · 3 Oct 2026
Community support
The project directs users to its Slack channel and GitHub Discussions for questions and discussion.github.com · 3 Oct 2026
Project stewardship
The repository says Feathr is a project under the LF AI & Data Foundation and was open sourced in 2022.github.com · 3 Oct 2026
Feature engineering
It supports time based aggregations, sliding window joins, lookup features, and derived features with point in time correctness.github.com · 4 Oct 2026
Interfaces
Feathr provides Pythonic APIs and customizable user defined functions with native PySpark and Spark SQL support.github.com · 4 Oct 2026
Execution modes
Its unified data transformation API works in offline batch, streaming, and online environments.github.com · 4 Oct 2026
Registry and governance
The optional UI and registry let users search features, inspect metadata and lineage, manage access controls, and share features across teams.feathr-ai.github.io · 4 Oct 2026
Registry backends
The feature registry supports Azure Purview and ANSI SQL backends; role based access control requires a SQL service to store its related information.feathr-ai.github.io · 4 Oct 2026
Integrations
Listed integrations include Azure Blob Storage, ADLS Gen2, AWS S3, Azure SQL, Snowflake, Kafka, EventHub, Redis, Azure Cosmos DB, Databricks, and Azure Synapse.github.com · 4 Oct 2026
ML tools
The project lists Azure Machine Learning, Jupyter Notebook, and Databricks Notebook as machine learning platform integrations.github.com · 4 Oct 2026
Deployment
The project documents Azure deployment and provides a self contained Docker sandbox, plus a locally installable Python client.github.com · 4 Oct 2026
API
The registry deployment exposes a REST API, and both the Feathr UI and Python client interact with it.feathr-ai.github.io · 4 Oct 2026
Support
The project directs users to its Slack channel for questions and discussions.github.com · 4 Oct 2026
Notable limit
The project FAQ says preprocessing currently seems to accept only one UDF function, subject to change based on requirements.feathr-ai.github.io · 4 Oct 2026
Intended use
The FAQ says a feature store is typically useful when modeling entities such as users, accounts, or items, and may not be necessary for regular image recognition.feathr-ai.github.io · 4 Oct 2026
Project status
The README says Feathr was open sourced in 2022 and is a project under the LF AI & Data Foundation.github.com · 4 Oct 2026

Company

Founded
2017github.com · 28 Sept 2026

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