Argo Rollouts vs DeployHQ
Argo Rollouts
argoproj.github.ioDeployHQ
deployhq.comSide by side
| Figure | Argo Rollouts | DeployHQ |
|---|---|---|
| Price from | Free | £9/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 5 |
| Spec score · Rollback Management | 9.0 (#1) | 8.2 (#6) |
| Integrations | Documented integrations include NGINX, AWS ALB, Apache APISIX, Istio, Linkerd, SMI, Prometheus, Datadog, New Relic, Graphite, and InfluxDB. | The company names Slack, Sentry, Bugsnag, GitHub, GitLab, and Bitbucket among tools and repositories supported. |
Plans
DeployHQ
- FreeFree
- Solo£9 a month
- Pro£19 a month
- Business£39 a month
- Enterprise£99 a month
In their own words
Argo Rollouts
Argo Rollouts is a self-hosted Kubernetes controller for managing how application updates reach users. It supports BlueGreen, Canary and Rolling Update strategies, with weighted traffic shifting through ingress controllers or service meshes. Without a traffic-routing provider, it can adjust ReplicaSet counts instead. Metric integrations let it assess KPIs and automate promotion or rollback, while leaving room for manual judgment. Supported providers include NGINX, AWS ALB, Istio and Traefik for traffic, and Prometheus, Datadog, New Relic, Graphite and InfluxDB for metrics. It can operate independently of Argo CD and respond to Kubernetes manifest changes whether they come from GitOps or traditional CI/CD. Each cluster running Rollout workloads needs its own controller and CRD; a Rollout specification covers one application, not dependencies among applications. Shared-resource or worker-queue applications may be a poor fit, and infrastructure applications are not recommended. Argo Rollouts is free and open source. It runs on Linux, macOS, Windows or self-hosted environments.
DeployHQ
DeployHQ automates deployments from Git, Mercurial, and SVN repositories to servers. Deployments can begin after a repository push, and build pipelines support custom commands and environment variables. It can connect to servers over FTP, SFTP, or SSH, as well as deploy to targets including Amazon S3, Shopify, DigitalOcean, Heroku, Netlify, Docker, and custom actions. Deployments can run across multiple servers with zero downtime, with one-click rollback to a previous deployment. Other listed tools include build caching, scheduled deployments, deployment checks, templates, team permissions, SSO, and an audit log. DeployHQ AI can generate deployment overviews, analyze logs, and flag potential issues. The service supports web and API access, and names Slack, Sentry, Bugsnag, GitHub, GitLab, and Bitbucket among its supported tools and repositories. The Free plan costs nothing and allows one project, five servers, one concurrent deployment, 30 build minutes, one user, and three deployments per day. Paid plans start at £9 a month billed once yearly, and a 10-day trial is available.