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Head-to-head · Deployment Automation Software

Google Cloud Deploy vs Heroku

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Google Cloud Deploy #3 in Deployment Automation Software 9.1/10 Free plan Free plan✓ 3 of 4 features Visit Google Cloud
Heroku #8 in Deployment Automation Software 8.5/10 Paid ✓ 2 of 4 features Visit Heroku

Google Cloud Deploy leads on 1 check, Heroku on 0, and 4 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 · 9.1/10
  • Free planonly Google Cloud Deploy
  • Most featuresGoogle Cloud Deploy · 3 of 4

Google Cloud Deploy scores higher on our rubric for deployment automation software: 9.1 against 8.5 out of 10; our editors rank them #3 and #8.

Google Cloud Deploy offers free plan; Heroku doesn't.

Google Cloud Deploy is the better fit for google Cloud deployment teams. Heroku is the better fit for teams wanting a mature managed PaaS.

  • Google Cloud Deploy fits best

    Google Cloud deployment teams

  • Heroku fits best

    Teams wanting a mature managed PaaS

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Side by side

Feature Google Cloud Deploy 9.1/10 Visit ↗ Heroku 8.5/10 Visit ↗
At a glance
Editor score 9.1 8.5
Ranking #3 in Deployment Automation Software #8 in Deployment Automation Software
Best for Google Cloud deployment teams Teams wanting a mature managed PaaS
Pricing model Free plan + paid Paid
Starting price — $5/unit/mo
Free plan ✓ (best) —
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Docs Email, Tickets, Community, Docs
Integrations 10 integrations 200+ integrations
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Google Cloud Deploy 3/4 · Heroku 2/4
Deployment rollback ✓ ✓
Approval gates ✓ (best) Not checked yet
Self-hosted option — —
Deployment audit log ✓ ✓
Specs
Deployment targets Google Kubernetes Engine, GKE attached clusters, Cloud Run, custom targets managed dynos, Common Runtime, Private Spaces, Shield Private Spaces, Fir
Rollout strategies Not checked yet Rolling
Concurrent deployments Not checked yet Not checked yet
Our review
Pros
  • Promotes, verifies, and rolls back releases across environments
  • Supports standard and canary deployments with approval gates
  • Integrates with GKE, Cloud Run, Cloud Build, IAM, and audit tools
  • Git, GitHub, Docker, and CI-based deployment workflows
  • Pipelines, Review Apps, release history, and rollback
  • Managed data services, add-ons, APIs, and extensive logging
Cons
  • Pricing applies to additional active multiple-target pipelines
  • Underlying Google Cloud service charges also apply
  • Not self-hosted and focused on Google Cloud deployment targets
  • No free plan is available
  • Eco dynos sleep after 30 minutes of inactivity
  • The platform is not self-hosted and uses rolling deployments
Our verdict

Google Cloud Deploy is a managed continuous delivery service for teams progressing application releases through defined environments and deployment targets. It supports Google Kubernetes Engine, GKE attached clusters, Cloud Run, and custom…

Read the review →

Heroku is a managed platform as a service for developers and teams building, deploying, running, and scaling cloud applications. Managed dynos provide the application runtime, while Git, GitHub, Docker, and CI workflows support deployment.…

Read the review →
  1. Google Cloud DeployDeployment Automation Software 9.1Free plan
  2. HerokuDeployment Automation Software 8.5Paid

Strengths and trade-offs

  • Google Cloud Deploy — where it wins

    • Promotes, verifies, and rolls back releases across environments
    • Supports standard and canary deployments with approval gates
    • Integrates with GKE, Cloud Run, Cloud Build, IAM, and audit tools

    Where it doesn't

    • Pricing applies to additional active multiple-target pipelines
    • Underlying Google Cloud service charges also apply
    • Not self-hosted and focused on Google Cloud deployment targets
  • Heroku — where it wins

    • Git, GitHub, Docker, and CI-based deployment workflows
    • Pipelines, Review Apps, release history, and rollback
    • Managed data services, add-ons, APIs, and extensive logging

    Where it doesn't

    • No free plan is available
    • Eco dynos sleep after 30 minutes of inactivity
    • The platform is not self-hosted and uses rolling deployments

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update