Head-to-head · Continuous Delivery Software
Google Cloud Deploy vs AWS CodePipeline
Google Cloud Deploy leads on 0 checks, AWS CodePipeline on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreGoogle Cloud Deploy · 8.7/10
- Free planboth
- Free trialonly AWS CodePipeline
- Most featuresAWS CodePipeline · 4 of 4
Google Cloud Deploy scores higher on our rubric for continuous delivery software: 8.7 against 8.6 out of 10; our editors rank them #3 and #4.
Google Cloud Deploy is the better fit for google Cloud deployment teams. AWS CodePipeline is the better fit for AWS-native delivery pipelines.
- Google Cloud Deploy fits best
Google Cloud deployment teams
- AWS CodePipeline fits best
AWS-native delivery pipelines
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Side by side
| Feature | Google Cloud Deploy 8.7/10 Visit ↗ | AWS CodePipeline 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.6 |
| Ranking | #3 in Continuous Delivery Software | #4 in Continuous Delivery Software |
| Best for | Google Cloud deployment teams | AWS-native delivery pipelines |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | $1/unit/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | 30 days |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Docs | Docs |
| Integrations | 10 integrations | 12 integrations |
| Built for | Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Google Cloud Deploy 1/4 · AWS CodePipeline 4/4 | ||
| Pipeline as code | Not checked yet | ✓ (best) |
| Approval gates | ✓ | ✓ |
| Progressive delivery | Not checked yet | ✓ (best) |
| Automated rollback | Not checked yet | ✓ (best) |
| Specs | ||
| Deployment model | Not checked yet | Cloud |
| Parallel runs | Not checked yet | 50 concurrent runs |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Google Cloud Deploy is a managed continuous delivery service for teams progressing application releases through defined environments. It supports Google Kubernetes Engine, GKE attached clusters, Cloud Run, and custom targets, with delivery… Read the review → |
AWS CodePipeline is a managed continuous delivery service for application and infrastructure release workflows. It models delivery as stages and actions covering source, build, test, approval, and deployment processes. Teams can manage… Read the review → |
Strengths and trade-offs
Google Cloud Deploy — where it wins
- Canary deployments, approvals, verification, and rollback are built in
- Parallel deployment supports multiple targets in one delivery flow
- IAM, logging, audit logs, Cloud Build, and Skaffold integrations
Where it doesn't
- Deployment targets center on Google Kubernetes Engine, GKE, Cloud Run, and custom targets
- Not self-hosted; teams operate within the Google Cloud service model
- Underlying Google Cloud service charges apply in addition to management fees
AWS CodePipeline — where it wins
- Parallel build, test, and deployment actions
- Manual approvals and automatic stage rollback
- Declarative JSON definitions with extensive AWS integrations
Where it doesn't
- Cloud-only deployment model
- AWS-centered ecosystem limits cross-environment breadth
- Pricing varies between V1 and V2 pipeline types
- Google Cloud Deploy8.7/10 · Free plan
A focused managed delivery service for promoting, verifying, and rolling back Google Cloud releases.
Visit Google CloudFull verdict → - AWS CodePipeline8.6/10 · Free plan · 30-day trial
A flexible AWS-centered pipeline service with free entry and broad AWS integrations.
Try AWS CodePipelineFull verdict →
More comparisons
- Octopus Deploy vs AWS CodePipeline
- Harness Continuous Delivery vs AWS CodePipeline
- Google Cloud Deploy vs Flux CD
- Google Cloud Deploy vs Jenkins
- Google Cloud Deploy vs Argo CD
- AWS CodePipeline vs IBM DevOps Deploy
- AWS CodePipeline vs Flux CD
- AWS CodePipeline vs Jenkins
All continuous delivery software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







