Software architecture comparison

Google Artifact Registry vs Amazon ECR

Artifact Registry supports Google Cloud image and package workflows; ECR is the AWS container registry. Check required package formats as well as image access from the target deployment platform before choosing a repository service.

START WITH YOUR BUYING BRIEF

Which option fits the requirement?

Artifact Registry supports Google Cloud image and package workflows; ECR is the AWS container registry. Check required package formats as well as image access from the target deployment platform before choosing a repository service.

Seven differences that change the shortlist

Google Artifact Registry vs Amazon ECR: plan and workflow boundaries
Buying questionGoogle Artifact RegistryAmazon ECR
Cloud providerGoogle CloudAWS
Primary storage scopeContainer images and supported software packagesContainer images and supported OCI artefacts
Repository contextArtifact Registry repositoriesECR repositories
Push and pull accessGoogle Cloud IAM and repository configurationAWS IAM and repository policies
Deployment ecosystemGoogle Cloud build and deployment toolsAWS container and build services
Release checkValidate image tags and digestsValidate image tags and digests
Cost componentsStored artefacts, data transfer and selected supporting capabilitiesStored images, data transfer and configured capabilities

Four worked buying briefs

These are hypothetical scenarios with explicit assumptions. They do not establish equal capabilities, measured usability or a negotiated price.

Proposed checks using authorised non-production resources. Record the actual account, region, version, configuration and observed outcome.
RequirementProposed exerciseAccept when
Publish imagePush an approved test image with its release tag.The expected repository and digest are recorded.
Deployment pullPull the image using the intended deployment identity.The identity can pull only approved repositories.
Release traceabilityRecord the image digest used by a test deployment.The deployed digest matches the approved build.
Retention planReview the proposed artefact retention arrangement.Required rollback images remain available.

Publish image

Can the team push an approved test image with its release tag?

Google Artifact Registry: With Google Artifact Registry, push an approved test image with its release tag.

Amazon ECR: With Amazon ECR, push an approved test image with its release tag.

The expected repository and digest are recorded.

Deployment pull

Can the team pull the image using the intended deployment identity?

Google Artifact Registry: With Google Artifact Registry, pull the image using the intended deployment identity.

Amazon ECR: With Amazon ECR, pull the image using the intended deployment identity.

The identity can pull only approved repositories.

Release traceability

Can the team record the image digest used by a test deployment?

Google Artifact Registry: With Google Artifact Registry, record the image digest used by a test deployment.

Amazon ECR: With Amazon ECR, record the image digest used by a test deployment.

The deployed digest matches the approved build.

Retention plan

Can the team review the proposed artefact retention arrangement?

Google Artifact Registry: With Google Artifact Registry, review the proposed artefact retention arrangement.

Amazon ECR: With Amazon ECR, review the proposed artefact retention arrangement.

Required rollback images remain available.

Scope and architecture

Artifact Registry supports Google Cloud image and package workflows; ECR is the AWS container registry. Check required package formats as well as image access from the target deployment platform before choosing a repository service.

A registry stores and distributes artefacts; it does not run the application. Check the required image and package formats, authentication method and deployment-system integration separately from container hosting.

Google Artifact Registry product information ↗ · Amazon ECR product information ↗

Cost and migration planning

For Google Artifact Registry, include stored artefacts, data transfer and selected supporting capabilities. For Amazon ECR, include stored images, data transfer and configured capabilities. Use the same workload and resilience assumptions, then confirm current vendor terms for the selected configuration.

Publish a test image with the required tags, pull it through the deployment identity and verify the digest. Review retention, replication and scanning requirements separately instead of assuming that every registry setting transfers with an image copy.

Questions before you choose

How should we choose between Google Artifact Registry and Amazon ECR?

Artifact Registry supports Google Cloud image and package workflows; ECR is the AWS container registry. Check required package formats as well as image access from the target deployment platform before choosing a repository service.

Which costs belong in the comparison?

For Google Artifact Registry, include stored artefacts, data transfer and selected supporting capabilities. For Amazon ECR, include stored images, data transfer and configured capabilities. Use the same workload and resilience assumptions, then confirm current vendor terms for the selected configuration.

What should we validate before a production move?

Publish a test image with the required tags, pull it through the deployment identity and verify the digest. Review retention, replication and scanning requirements separately instead of assuming that every registry setting transfers with an image copy.

Turn the comparison into your own evaluation

Use the same criteria and priorities for both products, keep unknowns unassessed and record the plan and evidence behind your ratings.

Build a Google Artifact Registry vs Amazon ECR scorecard →

Keep the assumptions with the figures

Use the date, billing cycle, units and limits with each example. Check current account terms before purchasing. Unverified prices and model costs stay unpriced.

Download the buying examples as JSON ↓

Share the comparison

Use these examples when discussing the shortlist with your team.