feast.dev — September 2026 traffic, keywords & AI visibility

feast.dev draws an estimated 1,307 visits a month from search engines. Effectively all of it is organic — about 1,307 visits from unpaid results. Spread across 40 ranking keywords, that averages roughly 33 organic visits per keyword.

On our AI visibility scale feast.dev earns 87 of 100 points, a grade A. It takes full marks for LLMS.txt, SEO health and Structured data. The biggest gap is Crawlability, at 0 of 10 points (robots ✗ · sitemap ✗), worth 10 points if closed. It also loses points on Company profile (22/25).

The llms.txt on feast.dev runs to 174 lines (8,677 characters) across 12 sections, last generated in May 2026. It introduces the site as "Feast - The Open Source Feature Store for Machine Learning". It tells AI engines the business works in Machine Learning, Data Engineering and AI Infrastructure. It describes 5 products, with prices such as Feast Core at Open Source (Free), Feast Online Serving at Open Source (Free) and Feast Registry at Open Source (Free). Services it lists include Community Support, Documentation & Tutorials, Integration Guides and Feature Store Consulting. The audience it names is Data scientists, ML engineers, data engineers (Global). Technologies it mentions include Python, Docker, Kubernetes, gRPC and PostgreSQL. The keywords it claims start with "Feature Store", "Machine Learning", "Data Management" and "Feature Engineering".

# Feast - The Open Source Feature Store for Machine Learning

## About
Feast is the leading open source feature store that simplifies machine learning operations for teams worldwide. It provides a unified platform to define, manage, discover, and serve features across the entire ML lifecycle—from development to production deployment. By handling feature computation, storage, and retrieval, Feast eliminates silos and inconsistencies that slow down AI projects. Data teams integrate it with tools like Pandas, Spark, and cloud services for seamless workflows. The online serving layer ensures low-latency access for real-time predictions in apps like recommendations and fraud detection.

Built by practitioners for practitioners, Feast supports both batch and streaming data sources, making it versatile for diverse use cases. Its registry offers a catalog for feature discovery, complete with lineage tracking and validation. Open source under Apache 2.0, it benefits from a vibrant community contributing integrations and optimizations. Companies scale ML reliably without proprietary lock-in, reducing costs and boosting velocity. Recent releases added push-based serving and better vector support for modern AI.

Feast accelerates the path to production AI by bridging data engineering and ML ops gaps. Teams report faster model iterations and higher prediction accuracy thanks to fresh, consi

Google lists feast.dev for about 40 keywords, which together bring an estimated 1,307 organic visits a month.

The latest technical audit of feast.dev scored 98 out of 100 overall. All 3 sub-scores are 90 or above. The audit makes 12 recommendations in all, and 2 of the 4 listed first are rated high priority or critical.

Feast's company profile names https://www.mlflow.org, https://www.tecton.ai, https://www.seldon.io and https://www.hopsworks.ai as competitors. Its own llms.txt adds https://www.databricks.com and https://www.zenml.io. Outside its market, the domains ranked closest to it in our worldwide ranking are victorinox.ch, carmelss.edu.hk, ddrivin.link and feazingporty.shop.

https://www.mlflow.org

https://www.tecton.ai

https://www.seldon.io

https://www.hopsworks.ai

https://www.databricks.com

https://www.zenml.io