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Layers / MLOps / Lifecycle / Feature stores

Feature stores

COMPARE TWO OF THESE →

Computed features shared between training and serving, with the point-in-time correctness that stops a model learning from the future.

NOINDEX

This category is below the depth bar — it holds 5 listings where we would want 12 before trusting a shortlist, so it is excluded from search engines and says so here rather than quietly.

5 in this category
SORTED BY STARS · 1 UNMEASURED, GROUPED LAST

NARROW BY WHAT THIS CATEGORY ASKS

LICENCE · 1 NOT READ

OPEN SOURCE · 1 NOT READ

ONLINE SERVING · 3 NOT READ

PRODUCTUSED BYSTARSDOWNLOADS 30D
feastPython SDK for Feast7,300openmldbOpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.1,711HopsworksHopsworks Python SDK to interact with Hopsworks Platform, Feature Store, Model Registry and Model Serving1,305219,552butterfreeA tool for building feature stores.319TectonTecton Python SDK

SORTED BY ONE STATED COLUMN · USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY — NOT A POPULARITY FIGURE · NO OVERALL SCORE AND NO RANK COLUMN, BECAUSE BLENDING ADOPTION, STARS AND DOWNLOADS NEEDS WEIGHTS, AND WEIGHTS ARE AN OPINION PRESENTED AS ARITHMETIC

Cite this page

The count and its date sit inside the citation, because “Feature stores” without a date is a claim that quietly goes wrong as the category fills.

infratoapp, “Feature stores — MLOps / Lifecycle”, read 28 October 2026. 5 listed products. https://www.infratoapp.com/layers/mlops/feature-store

No overall score, and no rank column

Blending adoption, stars and downloads needs weights, and weights are an opinion presented as arithmetic — so this table sorts by one stated column at a time and shows which. This view holds no billing column and joins no billing table: a sponsor cannot appear higher, and the signals meter is a row’s own confidence, never a score you can sort on.

Frequently asked

What is in the Feature stores category?
5 products in the MLOps / Lifecycle layer of the AI stack. Computed features shared between training and serving, with the point-in-time correctness that stops a model learning from the future. Listed members include feast, openmldb and Hopsworks. Every fact on each listing carries the page it was read from and the date it was read.
How are Feature stores compared here?
By the 6 attributes this category declares, asked of every member and answered only where a source states it. A product with no answer on record shows a gap rather than a guess, and no blended score is published — weights would be an opinion presented as arithmetic.
feast or openmldb?
Both are listed under Feature stores. We publish no verdict between them — we hold no benchmark that would support one. What we do hold is the same attribute sheet for each, side by side with the source behind every value, at /compare/feast-vs-openmldb.
What does a blank mean on a feature stores row?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A listing with a blank has not failed the question; it has not been read for it.
How often are feature stores figures re-read?
Every value carries the date it was read and a link to the page it came from. Prices move fastest and are re-read most often; an attribute read weeks ago says so rather than presenting itself as current. Anything past 21 days is hidden rather than shown stale.
Is this every feature store there is?
No. This is 5 we have read and can cite. A directory that claimed completeness would be making a promise it cannot keep, so the page states its own count instead and says when a category is too thin to shortlist from.
Can a vendor pay to rank higher here?
No. Nothing on this page can be bought: a sponsor cannot enter a table, reorder a row or change a mark, and there is no ranked position for sale. How the site is paid for, and the line each source of money does not cross, is set out under money and independence at /our-data#sec5.