Google Artifact Registry vs Pulp
On the evidence we track, Google Artifact Registry leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for container registries. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Google Artifact Registry
LeaderA cloud-based package manager that stores, secures, and distributes various types of build artifacts, including container images and language-specific packages, with support for multiple package formats and registries.
Pulp
Pulp enables developers and operators to fetch, upload, organize, and distribute software packages across on-premises infrastructure or cloud environments. It supports multiple content types through a plugin architecture and provides tools for repository management at scale.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Google Artifact Registry
LeaderUsage-based. Free tier: 0.5 GiB storage/month. Metered storage $0.000136986/GiB/hr, data transfer $0–$0.15/GiB, vulnerability scanning per Artifact Analysis docs.
- StorageFree
- Regional repositories
- Multi-regional repositories
- Standard and remote repositories
- Data TransferFree
- Free same-location transfers
- Free same-continent transfers
- Metered cross-region pricing
- Vulnerability ScanningSee Artifact Analysis pricing documentation
- Automatic vulnerability scanning
- On-Demand Scanning
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Google Artifact Registry
LeaderNot documented yet.
Pulp
- OpenAI API
- GitHub
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.