Amazon ECR
Amazon ECR is a managed container registry from AWS for storing container images · amazon.com ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
GitHub Packages is first at 50%.
Sonatype Nexus Repository is first at 28%.
JFrog Artifactory is first at 51%.
Why models recommend it
“AWS workloads: Amazon ECR. It supports image scanning, lifecycle cleanup, and cross-account or cross-region replication.”GPT-6 Luna · Paraphrase question · first choice
“Primarily AWS, ECS/EKS/Fargate today → start with Amazon ECR for zero egress pull costs inside AWS and IAM-native access.”Muse Glimmer 30B · Paraphrase question · first choice
“Best default for most mid-sized B2B companies: AWS ECR, ACR, or Artifact Registry depending on your cloud.”GPT-5.4 mini · Paraphrase question · first choice
“Best Overall for Most Mid-Sized B2B Companies: Amazon ECR (Elastic Container Registry)”DeepSeek V4 Flash · Paraphrase question · first choice
What gives them pause
“you should still: Ensure they are properly configured and not publicly exposed unless necessary.”Mistral Small · Negative question · warning
Also on the shortlist
The products named in the same answers as Amazon ECR, over the 44 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 38 | 1 | Compare → | |
| 34 | 2 | Compare → | |
| 34 | 0 | Compare → | |
| 32 | 9 | Compare → | |
| 31 | 9 | Compare → | |
| 26 | 1 | View → | |
| 13 | 2 | View → | |
| 12 | 1 | Compare → | |
| 11 | 1 | Compare → | |
| 7 | 0 | View → |
What the models named instead of Amazon ECR →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Amazon ECR's own site, not checked by Gane.
- Also from Amazon
- Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora and 48 more
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 40 of the 44 answers that named Amazon ECR and are not a share of its labels.
Domains cited
109 of the 122 domain citations in answers naming Amazon ECR came from a third party's page. Thirteen were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 1 | 0 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 1 | 0 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 0 | 2 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |