Container registries in 2026: Docker Hub vs GitHub Container Registry vs GitLab Container Registry vs Amazon ECR vs Google Artifact Registry

A container registry sits between a successful build and a deployable application. It must preserve the intended image, authorize the right publishers and consumers, and remain reachable when a deployment scales or recovers. Choosing one is therefore about distribution and identity as well as storing image layers.

Docker Hub, GitHub Container Registry, GitLab Container Registry, Amazon ECR, and Google Artifact Registry connect that responsibility to different ecosystems. Official documentation and pricing were reviewed on October 20, 2026. This comparison does not claim measured pull speeds, vulnerability detection rates, or production testing.

Compare the distribution contract

Distinguish a mutable tag from an immutable image digest. A convenient tag such as latest can point to different content later; production deployment and recovery should be able to identify the intended bytes. Also separate registry access from runtime access. A machine that may pull an image should not automatically be allowed to replace or delete it.

Our CI/CD platform comparison covers the pipeline that builds and promotes artifacts. This guide focuses on where container images are stored and delivered. A registry’s support for OCI images does not establish that every signing, attestation, scanning, retention, or permission feature is equivalent.

The quick difference

Product	Best-fit starting point	Access and deployment context	Main cost boundary
Docker Hub	Public distribution and Docker-centered teams	Hosted repositories, organizations, and ecosystem discovery	Plan entitlements, authenticated limits, and fair use
GitHub Container Registry	Images close to GitHub repositories and Actions	Granular package permissions and workflow integration	Container storage and bandwidth currently have a specific free policy
GitLab Container Registry	GitLab-centered build and release processes	Project-linked registry on supported GitLab offerings	Hosting, storage rules, and plan scope depend on deployment
Amazon ECR	AWS workloads and IAM-controlled distribution	Managed public and private repositories	Storage, transfer routes, and optional service features
Google Artifact Registry	Google Cloud and multi-format artifact workflows	Regional repositories integrated with cloud access controls	Stored artifacts, destination-dependent transfer, and scanning

Docker Hub

Docker Hub supports public and private image repositories and organization workflows, with a large public image ecosystem. It is a practical candidate when images need straightforward distribution beyond one cloud provider or when a team’s existing Docker workflow already depends on Hub. Trusted-content labels should still be examined for the specific publisher and image.

Strength: familiar image distribution and discovery can reduce friction for external users. Limitation: shared network addresses, authentication state, subscription rules, and fair-use controls can affect automated consumers. Unlimited paid-plan pull rates do not remove abuse protections or every operational constraint.

The reviewed official pages disagree about Personal pull allowances: the pricing page says 100 pulls per hour, while usage documentation lists 200 per six hours for authenticated Personal accounts and 100 per six hours for unauthenticated clients per address/subnet. Confirm the effective rule before sizing CI traffic; this guide does not resolve the contradiction by guessing. Paid plans are per user with monthly/annual options, and included private repositories vary. Verify currency and selected term instead of treating the lowest displayed figure as a monthly-contract price.

GitHub Container Registry

GitHub Container Registry stores container images under the GitHub Packages system, with package permissions that can be linked to repositories or managed with granular access. Public images can be pulled anonymously. For teams using GitHub Actions, the documentation recommends workflow-token authentication where the relevant repository has the required package access.

Strength: keeping image publication near repository review and automation can make release ownership easier to trace. Limitation: repository visibility and package permissions must still be configured correctly. An image name resembling a repository does not prove that every intended workflow or external deployment can pull it.

GitHub’s billing documentation specifically states that container image storage and Container registry bandwidth are currently free, with at least one month’s notice before a policy change. Do not apply generic paid Packages storage tables to containers without acknowledging that exception. Other services, including Actions execution, can have separate costs. Check current authentication requirements for external clients; the documentation distinguishes classic personal access tokens from the workflow token. Use narrow permissions and plan for credential rotation.

GitLab Container Registry

GitLab Container Registry integrates image storage with projects and CI/CD. Its documentation covers both hosted and supported self-managed contexts and notes that registry availability depends on administrator configuration for some installations. This can suit teams that want source review, pipeline execution, and image distribution organized within one project boundary.

Strength: project integration helps connect an image to the work that produced it. Limitation: naming and lifecycle are tied to the project. The documented image path follows the project repository path, and moving or renaming a populated project can have deployment-specific restrictions. Treat a namespace change as a release operation rather than a cosmetic rename.

GitLab’s software plan and registry infrastructure are not interchangeable prices. Confirm the applicable hosted registry storage rules, cleanup behavior, authentication, and feature tier for the chosen offering. For self-managed operation, include object storage, transfer, metadata services where used, maintenance, and recovery work. Do not assume that a repository-storage allowance shown on a general pricing card is automatically the same allowance for all container layers. Request clarification where the commercial page does not state the required boundary.

Amazon ECR

Amazon ECR is a managed registry with public and private repository options and integration with AWS identity and container services. It is a natural shortlist candidate when production already runs in AWS and image consumers can use its access-control model. The repository’s region and consumers’ locations are central to the distribution design.

Strength: AWS integration can make image access consistent with the surrounding infrastructure. Limitation: public and private repositories have different billing and access assumptions. A public download allowance should not be used to estimate private cross-region distribution or a private repository’s internet egress.

ECR pricing separates stored data and transferred data, with no upfront service commitment. Its examples show US$0.10 per GB-month for storage, but an example is not a universal regional quote. Transfers to AWS services in the same region are described as free, while cross-region and internet routes require separate calculation. Verify account-specific free-tier eligibility and current optional scanning, signing, or encryption-related charges. Replication can add stored copies and transfer costs; model the actual topology rather than only the source repository.

Google Artifact Registry

Google Artifact Registry manages container images and other artifact formats. Its repository types include standard storage, remote repositories for caching supported upstream content, and virtual repositories that provide a unified access point over upstream repositories. That breadth can be useful when a platform team wants consistent management across more than container images.

Strength: regional placement and Google Cloud integration help align artifact delivery with production workloads. Limitation: repository type affects what is actually stored and where costs arise. A virtual repository does not store artifacts itself; its upstream standard and remote repositories can still generate storage and transfer charges.

The pricing page applies its storage free tier across the billing account rather than independently to every project. It displays 0.5 GiB-month free storage, with charges above that allowance, and separate transfer and vulnerability-scanning dimensions. Same-location delivery differs from cross-location or internet egress. Prices are displayed in USD, with local-currency SKU prices applying for other billing currencies. Confirm scanning APIs and their billing implications before enabling them, and co-locate repositories with major consumers where the architecture permits.

How to choose and verify

Map publishers and consumers. List CI jobs, developer machines, production runtimes, external customers, and disaster-recovery environments. Give each the minimum access it needs. Verify a clean pull from the actual deployment environment rather than relying on a developer’s cached credentials and layers.

Design retention around recovery. Keep images needed by running workloads and reviewed recovery revisions. Check how tag deletion, layer cleanup, immutable references, and shared layers interact. An aggressive cleanup policy can save storage while silently removing a required release artifact.

Estimate a deployment month. Include image size, retained versions, build frequency, regions, cache misses, replication, and scanning. Record the applicable billing currency and commitment. A service with low storage prices can still be expensive when large images repeatedly cross network boundaries.

Check evidence and failure behavior. Trace an image digest to a reviewed source revision and a build record. Verify permission revocation and registry unavailability behavior. Signing and scanning can add useful evidence, but neither makes arbitrary application code trustworthy on its own.

Conclusion

Docker Hub fits broad public distribution, GitHub Container Registry aligns with GitHub workflows, and GitLab Container Registry fits project-centered GitLab delivery. Amazon ECR and Google Artifact Registry deserve priority when their cloud identity and regional placement match production. Choose around the actual image delivery path, then verify access, retention, and the full transfer bill.

References

Official sources reviewed on October 20, 2026. Plan allowances and prices can change; confirm the selected billing currency, commitment, deployment, and included services before purchase.