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Coolify vs Dokploy: What Self-Hosted PaaS Actually Costs You

Sean

Platform Writer

Aug 08, 2026
9 min read

Coolify and Dokploy solve the same problem: you have a server, you have Docker, and you want a dashboard instead of a pile of compose files and shell history. Both are open source, both deploy from git, and both are genuinely good at that job. The differences between them are real but smaller than the decision that sits underneath.

Coolify vs Dokploy: What Self-Hosted PaaS Actually Costs You

That underlying decision is whether you want to operate a deployment control plane yourself. Self-hosted PaaS moves your infrastructure from one thing you maintain to two — the apps, and the system that deploys the apps. Sometimes that trade is clearly worth it. It is worth making it deliberately.

Table of contents

What both of them give you

The shared feature set is substantial, which is why the comparison is genuinely close:

  • Deploy from a git repository on push, with build logs.
  • Docker and Docker Compose as the deployment unit.
  • Automatic TLS certificates and reverse proxy configuration.
  • Environment variable management in a UI rather than in files on disk.
  • One-click templates for common self-hosted applications.
  • Managing more than one server from a single dashboard.

If your requirements are on that list — and for most side projects and small teams they are — either tool will do the job. Choosing between them on features means choosing on the margins.

Where they actually differ

The differences that show up in daily use, from the projects’ own documentation and community reports:

  • Build systems. Dokploy supports a wider set — Docker, Compose, Nixpacks, Heroku and Paketo buildpacks, Railpack. Coolify covers Docker, Compose, and Nixpacks. This matters if you want a language runtime detected automatically rather than writing a Dockerfile.
  • Git providers. Dokploy integrates with GitHub, GitLab, Bitbucket, Gitea, and generic git. Coolify focuses on GitHub and generic git. If your code is on GitLab or a self-hosted Gitea, that is a real difference.
  • Resource footprint. Community consensus is that Dokploy is lighter. On a small VPS where the control plane competes with your apps for memory, that is not a trivial point.
  • Maturity and templates. Coolify has been around longer and has a larger template library and community. When something breaks at 11pm, the number of people who have hit the same problem matters.

None of these is decisive on its own. Together they suggest Dokploy if you are resource-constrained or not on GitHub, and Coolify if you value the larger ecosystem.

The part the comparison usually skips

Both tools are software running on your server. That means they are software you are responsible for, and the responsibility is easy to underestimate because the install is a single command.

What you own after that command:

  • Upgrades of the control plane itself, including the ones that change how the proxy is configured. A failed control-plane upgrade can take every app on the box offline at once.
  • The reverse proxy configuration it generates, which you will eventually need to understand to debug a routing problem.
  • Backups, including the control plane’s own database. Losing it means losing your deploy configuration, not just your app data.
  • Host-level security — the OS, the Docker daemon, the firewall, the SSH configuration, and the dashboard’s own exposed port.
  • Capacity. When the box fills up, nothing moves your workloads for you.

This is not an argument against self-hosting. It is an argument for pricing it honestly. A $6 VPS running a self-hosted PaaS is not a $6 deployment platform; it is a $6 VPS plus however many hours a month you spend being the platform team.

When self-hosted PaaS is clearly right

There are cases where the trade is obviously good, and they share a shape:

  • You are running a lot of small things. Ten hobby services on one box is dramatically cheaper self-hosted than ten managed instances, and the per-service reliability bar is low.
  • You already operate servers. If you are comfortable with Docker, systemd, and a firewall, the control plane is a small addition to skills you have.
  • Data residency or air-gap requirements. Sometimes the workload cannot leave your hardware and the decision is made for you.
  • You want to learn the layer. Running the thing is genuinely the best way to understand it, and a side project is the right place to do that.

The common factor is that the operational cost is either low for you personally or is the point.

When it is the expensive choice

The mirror image, which is where people usually get caught:

  • One production app with real users. You have taken on all the operational surface of a platform to run a single service. The maths does not work.
  • A team where nobody wants the pager. Self-hosting means someone owns the box. If the honest answer to who that is is nobody, the answer will be discovered during an outage.
  • Databases you care about. Running Postgres in a container on the same box as your app, with backups you configured yourself and have never restored from, is the single most common way small teams lose data.
  • Anything with a deadline. The time you spend on the control plane is time not spent on the product.

The database point deserves emphasis. Application containers are disposable — if one dies you redeploy it. A database is not, and a self-hosted PaaS makes it feel just as disposable while giving you none of the guarantees. Untested backups are not backups.

The third option

The framing of the question as Coolify against Dokploy assumes self-hosting is settled. Often the real comparison is against not running the control plane at all.

Managed platforms give you the same core loop — push to git, get a build log and a live route — without the box underneath being yours. What you give up is control over the host and the ability to run anything you like on it. What you get back is that upgrades, the proxy, the certificates, and the database backups are somebody else’s job.

For reference on what that costs rather than what it feels like: on RunxBuild a small service runs on a $6 Basic plan, and a managed Postgres or MySQL beside it starts on the same ladder. A managed n8n instance — the usual reason people reach for a self-hosted PaaS in the first place — is a create form and a plan rather than a compose file you maintain.

The honest summary: self-host when the operational work is cheap for you or valuable to you, and do not when it is neither. That is a different question from which dashboard has more templates, and it is the one worth answering first.

How this fits the rest of the stack

Whichever way you go, the thing worth being clear-eyed about is total cost — not just the server line, but the database, the storage, the bandwidth, and the hours. A self-hosted control plane makes the server line look small by moving cost into time, which is real but does not appear on an invoice. If you want the other side of that comparison as concrete numbers, the RunxBuild hosting calculator shows the service, the database, the storage, and the bandwidth as separate line items you can add up, and Docker services on RunxBuild covers what deploying a container here actually involves.

Useful related references:

FAQ

Is Dokploy or Coolify lighter on resources?

Community reports consistently put Dokploy lower on memory and CPU. On a small VPS where the control plane competes with your applications for RAM, that difference is worth measuring on your own workload rather than taking on trust.

Can I run a database on a self-hosted PaaS?

You can, and it is the part to be most careful about. Application containers are disposable; a database is not. If you do it, test a restore from your backups before you need one, not after.

Which one supports GitLab?

Dokploy integrates with GitHub, GitLab, Bitbucket, Gitea, and generic git. Coolify focuses on GitHub and generic git, so a GitLab or Gitea repository is a genuine differentiator.

Is self-hosted PaaS cheaper than managed hosting?

On the server line, usually yes. Total cost depends on how you value the time spent on control-plane upgrades, proxy debugging, backups, and host security. For many small services running together it wins; for one production app it usually does not.

What happens if the control plane breaks?

Your running containers usually keep serving traffic, but you lose the ability to deploy, change environment variables, or renew certificates through the dashboard until it is fixed. Back up the control plane’s own database, not just your application data.

#coolify vs dokploy#self-hosted paas#docker compose#deployment#vps