Ozone vs Phobos
Ozone
ozone.onePhobos
phobos.martian-cloud.ioSide by side
| Figure | Ozone | Phobos |
|---|---|---|
| Price from | $1,000/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 0 |
| Spec score · Release Orchestration Software | 7.6 (#12) | 7.4 (#17) |
| Integrations | The pricing page lists source control integrations including GitHub, GitLab, and Bitbucket, plus cloud providers AWS, GCP, and Azure. | The homepage says Phobos connects GitHub and GitLab repositories so pipelines can access files without uploading them as release assets. |
| Product | Ozone is a no-code DevOps platform built on Tekton for continuous integration, delivery, monitoring, security, and governance, with a focus on Kubernetes. | Phobos is a release orchestration and management platform for automating deployment pipelines. |
| Release management | Release orchestration includes rollbacks, deployment verification, GitOps, and deployments across multiple environments. | Release lifecycle pipelines coordinate deployment pipelines across environments and are generated when a release is created. |
Plans
Ozone
- FreeFree
- Starter$1,000 a month
- AdvancedPriced on request
- EnterprisePriced on request
In their own words
Phobos
Phobos is a free, open-source, self-hosted platform for release orchestration and deployment pipeline automation. Teams define versioned templates in HashiCorp Configuration Language and semantic versioning. Stages run sequentially, while tasks and nested pipelines within a stage can run in parallel. Release lifecycle pipelines coordinate deployments across environments, and separate runbooks automate maintenance or security scans without a release attachment. Jobs run on customer infrastructure in containers or through a shared agent pool, with tags matching agents to requirements. GitHub and GitLab connect through OAuth or personal access tokens. Role-based access controls, service accounts with OIDC federation, and approval rules govern users, machines, and deployment triggers. Custom plugins and a registry extend integrations and task actions. GraphQL and gRPC APIs, including GraphQL subscriptions, support integration and live updates. Health monitoring, sessions, and logs aid agent troubleshooting. The CLI can trigger pipelines, validate and upload templates, and use the plugin registry. Nested pipelines are limited to 10 levels, and deployment pipelines cannot create other deployment pipelines.