Every category where a model named Amazon ECR for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Artifact and container registries	Developer platform	8%	5 of 89	0%	12	accepted challenger
Container and Kubernetes security	Cloud and infrastructure	0%	52 of 77	0%	1	under 10 labels · led by Trivy at 22%	newNew since September 2026: not ranked then, 0% now.

Movement

This is the first edition on this tier, so no move can be computed for Amazon ECR yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Amazon ECR across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	1	0	1	2
GPT-5.4 mini	1	0	2	3
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	0	1	0	1
Grok 4.1 Fast	0	0	1	1
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	1	1
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	1	1
Kimi K2	0	0	0	0
GLM 4.7 FlashX	1	1	0	2
MiniMax M2.5	0	0	0	0
GPT-6 Luna	1	0	0	1
Muse Glimmer 30B	1	0	0	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase16 labels6

Comparative12 labelsNone

Budget-constrained1 labelNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative31 labels in all, every segment counted; 6 of the 6 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“If you want a single default recommendation without more context, I'd lean toward Amazon ECR for a mid-sized B2B company” GPT-5.4 mini · Artifact registries · paraphrase prompt · first choice

“AWS Elastic Container Registry (ECR) is the obvious choice if you're running on AWS” Claude Haiku 4.5 · Artifact registries · paraphrase prompt · first choice

“For most mid-sized B2B companies, I'd start with Amazon ECR if you're on AWS” GLM 4.7 FlashX · Artifact registries · paraphrase prompt · first choice

“If you're primarily on AWS, I'd pick ECR” GPT-6 Luna · Artifact registries · paraphrase prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Amazon ECR, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon ECR was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Azure Container Registry25 of 310Compare →

Google Artifact Registry20 of 310Not among the top eight

Docker Hub19 of 314Not among the top eight

Harbor19 of 312Not among the top eight

JFrog Artifactory18 of 313Compare →

GitHub Packages12 of 317Compare →

Cloudsmith5 of 310Compare →

Sonatype Nexus Repository5 of 310Compare →

GitLab Container Registry4 of 310Not among the top eight

DigitalOcean Container Registry3 of 311Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Amazon ECR. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 27 of the 31 answers that named Amazon ECR and are not a share of its labels.

Domains cited

blog.railway.com11

g2.com11

docs.cloud.google.com10

learn.microsoft.com10

daily.dev9

guptadeepak.com9

ciopages.com8

gitnux.org8

harness.io8

tech-insider.org8

Ninety-two of the ninety-two domain citations in answers naming Amazon ECR came from somebody else's page.

Pages cited

blog.railway.com/p/best-container-registries-202611

daily.dev/blog/top-9-container-registries-2024-how-to-choose9

guptadeepak.com/tools/top-8-container-registries-20269

ciopages.com/buyer-guides/container-registry-artifact-management8

tech-insider.org/ecr-vs-acr-vs-artifact-registry-20268

gitnux.org/best/container-registry-software7

distr.sh/blog/container-image-registry-comparison6

docs.cloud.google.com/artifact-registry/docs/overview6

Pages are listed as the models cited them.

Search and answers

Where Amazon ECR stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 1,300 a month (“amazon ecr”)
AI search demand for its name, est.: 88 a month
Its own site: It sits on Amazon's site (amazon.com), so there are no site figures for it alone

In answers

This edition

Share of first choices

rank 5 of 89 in artifact registries

Segment leader

14%

JFrog Artifactory

First choices: 6 across its categories
Named in: 31 answers
Its own site cited: in 27 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Amazon ECR

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon ECR; a claim can dispute any of them.

Amazon ECR (Elastic Container Registry) 2

Follow Amazon ECR

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Amazon is the company behind Amazon ECR.

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On record

Company records

Also from Amazon: Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora, Amazon Aurora Serverless, Amazon Bedrock and 46 more

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Amazon ECR's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Amazon ECR, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Amazon ECR by email, built from the raw record of the edition. It shows:

where Amazon ECR is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Amazon ECR, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.