Partiri vs Fly.io
Partiri is a European-first PaaS: every live region sits inside the EU today, pricing is a fixed monthly rate per pod with no subscription tiers, and deployment works from Git, a container registry, the CLI, or an MCP server for AI agents. Fly.io takes a different, Docker-first approach, running your app as a Firecracker microVM in whichever of its many regions you choose. Here is how the two compare, row by row.
Partiri vs Fly.io, feature by feature
| Category | Partiri | Fly.io |
|---|---|---|
| Data residency & regions | Live in Germany (Nuremberg) and Finland (Helsinki) today; every region on the public roadmap is a European country, with 46 targeted in total. | A large number of regions worldwide, including several in Europe (for example Amsterdam and Frankfurt). Check fly.io/docs/reference/regions for the current list. |
| Pricing model | Pick a pod size (vCPU + RAM + storage bundle) and pay a fixed monthly rate for it — no subscription tiers or platform fee. New accounts start with signup credit. | Usage-based billing for compute (charged while a Machine is running) with volumes and bandwidth billed separately. Check fly.io/docs/about/pricing for current numbers. |
| Supported runtimes | Native support for Node.js, Deno, Python, Go, Rust, Ruby, Elixir, PHP, JVM (Java/Kotlin), .NET, and C++, plus static sites or any Docker image. | Any language, but always packaged as a Docker image — the fly launch command can generate a Dockerfile for common frameworks, or you can supply your own. |
| Persistent storage | Persistent disks (1–10 GB) attachable to web services and private services, provisioned in the same EU region as the workload that uses them. | Fly Volumes attach block storage to a Machine in a single region. Fly also offers a managed Postgres option — check fly.io/docs for current availability and scope. |
| Deployment workflow | Git push (GitHub, GitLab, Bitbucket, Codeberg), a container registry (GHCR, GitLab Container Registry, Docker Hub, Artifact Registry, ECR), the partiri CLI, or a hosted MCP server for AI coding agents. | Primarily the flyctl CLI (fly deploy) building from a Dockerfile, or deploying a pre-built image from a registry. Git-push-to-deploy is typically wired up via a GitHub Actions integration rather than built in natively. |
| Free tier / trial credit | Every new account starts with €4 in credit — enough to run a Nano pod free for the first month. | Usage-based billing from the first deployment; free allowances and promotional credit have varied over time. Check fly.io for current terms. |
Fly.io details reflect publicly available documentation at the time of writing. Pricing and feature availability change — confirm current specifics on fly.io before switching.
Ready to deploy on EU infrastructure?
There is no dedicated Fly.io migration guide yet, but getting started is the same either way: connect a Git repository or container image, pick a pod size and region, and deploy.