Drive innovation in your enterprise with trusted open source from Canonical — simple, cost-effective, and supported. Charmed Feast is Canonical's platform, from Canonical Group Limited. Published at documentation.ubuntu.com/charmed-feast. Directory filing: Feature stores. Vendor legal name on this product record: Canonical Group Limited. Charmed Feast is Canonical's platform, from Canonical Group Limited. Published at documentation.ubuntu.com/charmed-feast. Directory filing: Feature stores.

Category: Feature stores

Product listing

Charmed Feast

Name: Charmed Feast
Brand: Canonical

From Canonical

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documentation.ubuntu.com

AI Platform / Infrastructure · Feature stores · Data & Machine Learning

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TrustMark reading

Where this product sits

Charmed Feast is classified as Feature stores. Serving and governing ML features for training and inference. Jobs: offline feature compute; online feature serving; point-in-time correctness.

Buyers typically come to Feature stores because training and serving use different feature code, so models silently skew. Classification is not a finding that this product solves that job.

This is TrustMark's classification reading for buyers comparing Feature stores products. It is not an Assurance Score, certificate, or ranked position.

What it is

Product classification

AI Platform / Infrastructure

Feature stores · Data & Machine Learning

What it does

How this product is used

Capabilities: Not specified
Sectors: Cross-industry / not specified
Deployment: Not specified
Autonomy: ASSISTIVE
Data exposure: Not specified

Verified claims

What has been independently checked

Independently verified· 2026-09-17Domain association: Verified
This only confirms the listing is tied to a checked company website domain. It is not a product assessment, certificate, review star, or ranked position.

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Supplier-provided information

AI TrustMark has not independently verified supplier-provided marketing claims on this profile, including untested productivity, ROI or performance figures, unless they appear under verified claims or a named certificate. Absence of a claim from the verified list means it has not been evidenced here.

What the vendor’s website says · supplier-provided, not verified evidence

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Category context

Why buyers look at Feature stores

Serving and governing ML features for training and inference. Jobs: offline feature compute; online feature serving; point-in-time correctness.

Training and serving use different feature code, so models silently skew.

This is category context, not an independent assessment of Charmed Feast. Vendor-claimed differences are listed above. Assessment results appear only after examination.

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Where to get more information

Product website · documentation.ubuntu.com/charmed-feast/
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Other products from Canonical

No other products are listed for this company yet.

Why complete verification

Completing verification can improve the quality of the public evidence available on this product profile. Useful verified information can deepen the profile and make public questions about the named product more answerable. It does not buy directory ranking, review stars, a higher Assurance Score, a favourable certificate outcome, or a guaranteed Google ranking.

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