Dokploy vs Coolify vs CapRover in 2026: which self-host PaaS wins

I've spent the last year deploying real workloads on Coolify, CapRover, and (most recently) Dokploy. Same job each time: replace Vercel / Render / Heroku-style hosting with something I own on a $12-24 droplet. Different tools shine for different shapes. Here's the honest breakdown.

TL;DR by use case

Quick stats

Install friction

CapRover (oldest, scrappiest)

docker run -p 80:80 -p 443:443 -p 3000:3000 -v /var/run/docker.sock:/var/run/docker.sock -v /captain:/captain caprover/caprover

Five-minute setup. Open captain.your-domain.com:3000, login, you're done. Probably the smoothest first-time experience.

Coolify (most popular)

curl -fsSL https://cdn.coollabs.io/coolify/install.sh | sudo bash

Slower install (~5-8 min) because it pulls Postgres, Redis, Soketi, and several worker images upfront. Lots of moving parts, but they pay off later — multi-server, database backups, monitoring, and webhooks all live inside.

Dokploy (newest, cleanest)

curl -sSL https://dokploy.com/install.sh | sh

About 3 minutes. Three containers: Dokploy itself, Postgres, Redis. Traefik gets added when you first create an app. Cleanest installer logs of the three.

Reverse proxy + TLS

CapRover → Nginx

• Pro: universally understood; easy to debug with normal nginx tools.
• Con: manual reload on config changes can cause brief 502s under load.
• Let's Encrypt: works, automatic, but the renewal process has bitten me twice when CapRover's internal cron hiccuped.

Coolify → Traefik

• Pro: dynamic config via Docker labels; hot reload.
• Pro: Coolify exposes Traefik dashboard for debugging.
• Con: the Coolify-managed Traefik config is hard to override when you need custom middleware. Their PR process is responsive but you'll wait.

Dokploy → Traefik

• Pro: same Traefik strengths as Coolify, but Dokploy exposes the Traefik dynamic config directory as a navigable file tree in the UI. Direct edits, hot reload, no waiting.
• Pro: Let's Encrypt setup happens automatically per-domain on first deploy.
• Con: if you want a different cert resolver (DNS challenge for wildcard), you edit YAML by hand. No UI for it yet.

Template libraries

Templates = "one-click install Ghost / n8n / Plausible / Postgres / [60 others]". The size and quality of this library is the difference between "I built my stack in one afternoon" and "I built half the docker-compose files myself."

Dokploy wins on count

~400 templates, contributed via a community-PR model. Quality varies — the popular ones (Ghost, n8n, OpenCLAW, Strapi, Plausible) are battle-tested. The long tail has stale image tags occasionally.

Coolify wins on consistency

Smaller library but everything's vetted. Updates ship with the Coolify release. No "this template hasn't been touched in 18 months" problem.

CapRover is OK

"One-click apps" list. Good for the basics. Less aggressive on AI / modern dev tool templates — you won't find n8n + Anthropic + Ollama bundles here.

Multi-server support

The thing that decides if you can scale beyond one droplet without rebuilding.

Coolify — built-in, free, mature

Add a server, paste SSH key, Coolify installs the agent and lets you deploy apps to either server from the same UI. Production-ready since 2022.

CapRover — cluster mode

Docker Swarm-based clustering. Works but rough edges: adding a new node sometimes requires manual swarm init dance.

Dokploy — paid tier (roadmap)

Multi-server is in the roadmap but currently behind a paid Dokploy Cloud tier. For one-droplet setups (the 90% case), this doesn't matter. For "I'm scaling to 5 droplets" — pick Coolify.

Database management

All three let you spin up Postgres / MySQL / MongoDB / Redis as managed services. Auto-backups, volume mounts, etc.

• Dokploy: backups to S3-compatible storage, configurable per-DB. Backup logs are visible in the UI.
• Coolify: backups + restore both via UI. Best of the three.
• CapRover: manual cron + snapshot script. You'll write your own.

Where each breaks

The honest part. None of these is enterprise-grade. Things I've hit in production:

Dokploy

• Less than 2 years old. Edge cases (network mode switching, custom labels) sometimes need raw docker intervention.
• Smaller maintainer team. PRs land but slower than Coolify.
• Some templates ship with insecure defaults (default passwords, exposed ports). Audit before going live.

Coolify

• Memory-heavy. The Coolify backend itself uses ~600 MB before you deploy anything. 2 GB droplet is genuinely tight.
• Migration between Coolify major versions has been bumpy. v3 → v4 broke several of my installs; restore took half a day.
• The UI is feature-rich but cluttered. Onboarding is slower than Dokploy.

CapRover

• Older codebase. Several UI features feel like 2018.
• No first-class GitHub auto-deploy from a private repo — you wire it via webhooks manually.
• Documentation gaps once you get past the basics.

What I actually use

My current personal blog + n8n + OpenCLAW + Ghost setup runs on Dokploy on a $12 droplet. Reasons:

• Cleanest UI of the three. I spend less time fighting the tool.
• Massive template library covered every app I wanted to deploy.
• Traefik file-tree exposed in UI = I can hand-tune routes when needed.
• I'm a single-droplet user; multi-server isn't relevant yet.

For agency clients who need multi-server, real backup story, and a more mature tool, I still recommend Coolify. CapRover I'd only pick if dealing with a 1 GB RAM budget where neither of the others fits.

Other options I evaluated and rejected

• Portainer — Docker management UI, not a PaaS. Useful as complement to all three above. Not a replacement.
• Easypanel — Pretty UI but the free tier is feature-locked. Paid tier ($19/mo) buys what Dokploy ships free.
• Cosmos — Newer than Dokploy, more opinionated. Worth watching, not yet worth betting on.
• Kamal (Rails team) — Excellent if you're DHH-adjacent and want zero-UI deploys. Different category — no template library, no multi-app dashboard.
• Pure Docker Compose + Caddy — Zero overhead. What I'd pick if I only needed 2 apps and could write YAML.

The decision matrix

How many droplets do you plan to run within 12 months?
  1     →  Dokploy (cleanest single-host experience)
  2-5   →  Coolify (built-in multi-server)
  5+    →  Reconsider — Kubernetes / Nomad / k3s become viable

How much memory does your smallest droplet have?
  <2 GB →  CapRover (only one that fits)
  2 GB  →  Dokploy (lightest of the modern two)
  4 GB+ →  Any of the three

Do you need template-rich (Ghost, n8n, Plausible, Strapi, etc.) one-click installs?
  Yes   →  Dokploy or Coolify (both fine, Dokploy has more)
  No    →  CapRover or write your own compose

Migration paths

If you're stuck somewhere and want to move:

• Docker Compose → any of the three: easy. Paste compose into the UI, the tools all accept raw docker-compose.yml.
• CapRover → Coolify/Dokploy: medium. Apps are docker-based either way; the friction is recreating per-app env + domains.
• Coolify → Dokploy: medium. Both Traefik-based, similar app shape.
• Heroku → any: easy. Heroku buildpacks → Nixpacks (Coolify) or Dockerfile.
• Vercel/Netlify → any: trickier. Edge functions, ISR, image optimization — these tools don't replicate Vercel's runtime. Marketing sites move easily; SSR-heavy Next.js apps less so.

One more thing — backups are your responsibility

None of these tools backs up your actual droplet. The PaaS data, app volumes, databases — yes, configurable backups via their respective UIs. But:

• The droplet OS itself
• SSH keys, custom system config
• Anything you put outside the PaaS-managed paths

...won't be in those backups. Always enable DigitalOcean (or your provider's) droplet-level weekly snapshots. Adds ~20% to the droplet cost. Worth it the first time you fat-finger an rm -rf.

Get help

If you're picking a self-host PaaS and want a 30-min sanity check before committing, book a call. I've done the install dance for all three on real client work — happy to point you at the one that fits your shape.

And if you want to see Dokploy in action: the $12 personal cloud post walks through the exact stack this blog runs on.