Coolify vs Dokploy: Choosing a Self-Hosted PaaS

At some point every developer who has manually wired up Docker, Nginx, and a Let's Encrypt renewal cron job on a bare VPS starts wondering if there is a better way. There is: self-hosted PaaS platforms give you a Vercel or Heroku style deploy experience while the containers still run on hardware you own and pay for by the month instead of by the request.

Coolify and Dokploy are the two most popular open source options in this space right now, and they solve the same problem in slightly different ways. This post compares them across the dimensions that actually matter once you start running real workloads: how each one is architected, how it treats your databases, how git-based deploys work under the hood, how much of your VPS they eat just sitting idle, and which one is the better default choice depending on your situation.

Architecture: How Each Platform Manages Your Server

Both platforms are, at their core, a dashboard application plus an agent that talks to the Docker daemon over SSH or a local socket. Neither one replaces Docker; they orchestrate it for you and generate the Traefik reverse proxy configuration, TLS certificates, and networking so you never hand-write a compose file for routing. The meaningful architectural difference is how each one thinks about scaling beyond a single box.

• Coolify installs as a single control-plane application directly on your primary server, then manages any number of additional remote servers over SSH. It supports everything from a Raspberry Pi to a large cloud instance, and Docker Swarm clustering is available as an option once you actually need it.
• Dokploy shares the same Docker-plus-Traefik foundation but was built with Docker Swarm clustering as a first-class feature from its earliest releases, so adding a second node to scale an application horizontally is a guided flow rather than an advanced add-on.
• Both platforms provision Let's Encrypt certificates automatically through Traefik and renew them without any manual intervention, so certbot cron jobs become a thing of the past on either one.

Feature-by-Feature Comparison

Zooming out from architecture, here is how the two platforms stack up on the practical factors that usually decide which one a team picks.

Database Management: Where They Actually Differ Day to Day

Deploying an application is table stakes for any self-hosted PaaS. Where the day-to-day experience diverges is database management, since that is the part of your stack you can least afford to get wrong. Both platforms let you spin up a managed Postgres, MySQL, MongoDB, or Redis instance from the dashboard instead of hand-writing a compose file, but the depth of the built-in backup and restore tooling is what you actually feel once the app is in production.

1. Pick a database engine and version from the dashboard, and the platform provisions it as its own container on the server with sane defaults for storage and networking.
2. Point the automatic backup job at an S3-compatible bucket, whether that is real AWS S3, Cloudflare R2, Backblaze B2, or a self-hosted MinIO instance, and set a schedule.
3. When something goes wrong, restore from any scheduled backup with a couple of clicks in the dashboard instead of SSHing in and running pg_restore by hand.

Git-Based Deploys and What Happens Under the Hood

The deploy experience on both platforms looks the same from the outside: connect a GitHub, GitLab, or Bitbucket repository, pick a branch, and every push triggers a new build and rollout. Internally, both detect your project type automatically and either use a Dockerfile you already have or generate a build for you when there is none, then wire the result into Traefik using labels much like the snippet below, which is representative of the compose configuration either platform assembles behind the scenes.

# Typical git-based deploy config either platform reads
# (auto-detected from the repo, no Dockerfile required)
services:
  app:
    build:
      context: .
    environment:
      - NODE_ENV=production
      - DATABASE_URL=${DATABASE_URL}
    ports:
      - "3000"
    labels:
      # both platforms drive routing through Traefik labels
      - "traefik.enable=true"
      - "traefik.http.routers.app.rule=Host(`app.example.com`)"
      - "traefik.http.routers.app.tls.certresolver=letsencrypt"

Resource Use on a Small VPS

Since both platforms are themselves a set of containers running on the same server as your applications, the overhead they add matters a lot on a budget VPS. Neither one is free to run, and the difference shows up most on the smallest droplets and instances.

• Coolify's own dashboard, plus the Postgres and Redis containers it uses internally to store your configuration, typically settle at a few hundred megabytes of RAM once idle, and that is before any of your applications start.
• Dokploy runs a comparable dashboard container alongside Traefik, so budget a similar modest baseline overhead on top of whatever your own applications and databases need.
• On a common 2 vCPU, 4 GB RAM VPS, either platform still leaves enough headroom for two or three small Next.js or Node services plus one lightweight database, which covers most side projects and small client sites comfortably.

Which One Should You Actually Pick?

Reach for Coolify if you want the platform with the largest community, the most one-click services, the longest track record in production, and a fully open Apache 2.0 license with no features held back behind a paid tier. Reach for Dokploy if you want the fastest possible onboarding, you like a leaner and more opinionated dashboard, and you already know you want Docker Swarm clustering as the default scaling story from day one rather than an optional add-on.

For most solo developers and small teams running a handful of side projects or client sites on a single VPS, either platform will comfortably replace a manual Docker and Traefik setup within an afternoon. The decision usually comes down to whether you value Coolify's larger ecosystem and fully open license, or Dokploy's leaner footprint and Swarm-first design. Try both on a cheap throwaway VPS before committing; the install script for either one takes only a few minutes to run and just as long to tear down.