Coolify vs Dokploy: Which Self-Hosted PaaS Fits You?

Quick answer: Pick Dokploy for a single server where RAM is tight. Pick Coolify for multiple servers, complex Compose stacks, or a bigger template catalog. On 4 GB the RAM gap stops deciding it.

Most of the coolify vs dokploy decision resolves right there. The rest is detail, and detail matters when you are the one on call at 2 a.m.

The difference between Coolify and Dokploy starts at the orchestration layer. Swarm hands Dokploy clustering and rolling updates without extra tooling. It also constrains you. Compose syntax has to be Swarm-compatible, and features you rely on locally may not survive the move.

The RAM argument gets repeated more than it gets qualified. Coolify’s control plane runs supporting containers of its own, so it idles heavier. On 2 GB that gap settles the question. On 4 GB you choose on capability instead.

Capability	Dokploy	Coolify
Orchestration	Docker Swarm	Docker and Compose over SSH
Idle RAM	~150 to 300 MB	~500 to 800 MB
Multi-server	Swarm cluster	SSH from one panel
Templates	Curated set	300+ catalog

Why self-host instead of renting a platform

Self-hosting wins on three things: fixed cost, no runtime limits, and control of your data. That is the case for running Coolify or Dokploy on your own VPS.

• Fixed cost. Platforms that bill per seat, per gigabyte or per function invocation turn a traffic spike into next month’s invoice. A VPS running either panel costs the same in a quiet month as a busy one, and the same whether you deploy two apps or twenty.
• No runtime limits. Timeouts and stateless functions rule out WebSockets, background workers and long-running cron jobs, which is where Vercel and similar serverless platforms stop being a fit. Coolify and Dokploy both run apps in persistent Docker containers, so those workloads need no workaround.
• Your data, your hardware. Configs, customer records and credentials stay on a box you control.

The timing is not accidental. Heroku entered sustaining engineering mode in February 2026: security and stability work, no new features. Apps on it keep running, but teams planning a few years out are now picking a platform deliberately, and the coolify vs dokploy shortlist is where most of them land.

So what is the difference between Coolify and Dokploy once you have decided to self-host? Orchestration. Coolify drives Docker and Compose over SSH. Dokploy runs on Docker Swarm. The rest of this comparison follows from that.

What is the difference between Coolify and Dokploy at the architecture level?

Swarm is a scheduler. Dokploy inherits rolling updates, service replicas and node failover from it without writing any of that logic.

The cost lands in your Compose files. Swarm ignores keys that work under plain Compose, and conditional depends_on among them. So a stack that runs on your laptop can deploy successfully and still behave differently in production. That failure is quiet, which is what makes it expensive.

Coolify takes the other route. It reaches each server over SSH and drives Docker directly, so your Compose file behaves the way it did locally. Nothing schedules underneath it. That means no automatic failover between nodes. Coolify manages many servers. It does not cluster them.

Coolify vs Dokploy on a fresh server: What the first hour looks like

Setup pain stays low at first: both install from one command on a clean Ubuntu server and show a dashboard within minutes. The difference appears after that. Coolify’s heavier first boot is noticeable on the smaller RAM size discussed earlier, while Dokploy pauses to initialise Docker Swarm on the node.

With Coolify, run the installer, then open the server IP or panel.[businessname].com and create your first admin account. Point the panel subdomain to the server, connect a GitHub, GitLab, or Bitbucket repository, add your app domain, and start a sample build. The first practical snag is certificate timing: Let’s Encrypt needs DNS to resolve publicly and ports 80 and 443 open before it issues HTTPS. For command-level detail, see the installing Coolify on a VPS guide.

Dokploy follows the same rhythm: install, open the panel, create the admin account, point DNS, connect the repository, and deploy. Swarm setup adds a short wait before the first app runs. Once the build log starts, the experience feels similar, but test a real Compose stack early because Swarm compatibility can surface after the dashboard setup feels complete.

Which platform has the better dashboard and Git workflow?

Both are good. Neither is a reason to switch.

Coolify organises work into projects. You group applications, databases and static sites into separate environments, which is what makes it workable when you are running client sites side by side. Webhook setup takes a few clicks.

Dokploy’s Next.js interface is faster to read. Less on screen, less to hunt through, well matched to one server and a handful of apps. Connecting a repo means pasting an SSH key or setting up a webhook.

Both support push-to-deploy, Nixpacks buildpacks and raw Dockerfile builds. Push to a tracked branch and the panel pulls the change, builds a fresh image, runs health checks and cuts over without downtime. Both roll back to the previous image in one click.

Preview environments for open pull requests exist on both sides. Verify the current state of Dokploy’s implementation before you rely on it.

For terminal-level setup, read our guide on installing Coolify on VPS.

How do Coolify and Dokploy handle Docker Compose and one-click templates?

Both parse standard Compose YAML, so you can define web services, background workers and caching layers in one file.

Coolify’s template library is the larger of the two. WordPress, n8n, Supabase, Plausible and MinIO deploy without you writing Compose at all. Coolify fills in the environment variables, sets up database network aliases and creates the volume mounts.

Dokploy ships a curated set instead: database tools, analytics, a few CMS options. Paste raw YAML into the UI and it validates the syntax, writes the env file and sets restart policies.

The catalog gap matters less than it looks if your stack is bespoke. It matters a lot if you self-host other people’s software.

Both encrypt API keys, database credentials and secret tokens at rest. Both keep volumes intact across container updates and server reboots.

Which platform handles databases, SSL and backups better?

Close to even, with one gap on each side.

Both provision containerised PostgreSQL, MySQL, MariaDB, MongoDB and Redis with generated credentials. Coolify adds ClickHouse, which matters only if you run analytics workloads. [verify]

Both use Traefik as the reverse proxy. Assign a domain and Traefik requests a Let’s Encrypt certificate, renews it before expiry and routes over HTTPS without a restart. Wildcard domains are supported on both. [verify]

Backups are where they diverge. Coolify schedules database dumps to S3-compatible storage, applies retention policies and restores from the dashboard. Dokploy also backs up to S3 and keeps local dumps, which is useful when you want a copy that never leaves the box. Coolify’s scheduling and restore tooling is the more developed of the two. Dokploy’s local dumps are the thing Coolify lacks.

Which self-hosted PaaS uses fewer resources and scales further?

Dokploy uses less. Coolify scales wider. Both statements are true and they do not conflict.

Dokploy’s Next.js and tRPC stack idles at roughly 150 to 300 MB. That leaves most of a small server for your actual apps, and it runs comfortably on a 2 GB box alongside a few lightweight services.

Coolify’s Laravel control plane and background workers idle at roughly 500 to 800 MB. It wants 4 GB or more. Heavy Docker builds want extra vCPU and fast NVMe throughput on top of that.

What the extra RAM buys you is reach. From one Coolify dashboard you connect more servers over SSH, then put databases on one and web apps on another. No cluster to configure.

Dokploy reaches multiple servers through Docker Swarm. Swarm genuinely orchestrates across nodes, which Coolify does not. Setting up cluster networking takes terminal work Coolify never asks for.

So the trade is real in both directions. Coolify is easier to spread across servers. Dokploy is better at scheduling once you have.

What are the pros and cons of Coolify and Dokploy?

Neither platform is behind on features. They are behind on different things.

Coolify pays in resources and complexity. Dokploy pays in catalog size and Compose compatibility. The pros and cons of Coolify and Dokploy read almost as mirror images, which is why the coolify vs dokploy choice turns on your server count rather than on any one missing feature. Each row below is a place where one of them costs you something.

Where it counts	Coolify	Dokploy	Edge
Idle RAM	~500 to 800 MB	~150 to 300 MB	Dokploy
Compose fidelity	Runs what ran locally	Swarm-incompatible keys fail quietly	Coolify
Adding a server	One SSH key	Swarm cluster networking	Coolify
Failover between nodes	None. Lose a node, apps stay down	Swarm reschedules automatically	Dokploy
Template coverage	Large catalog	Curated set, more hand-written Compose	Coolify
Backup options	S3, retention policies, dashboard restore	S3 plus local dumps	Even
Time to first deploy	More panel to learn	Less to learn	Dokploy
Upgrade risk	More moving parts	Smaller surface area	Dokploy
Client isolation	Projects and environments	Flatter structure	Coolify
Track record	Longer track record	Shorter incident history	Coolify

Coolify comes out ahead on capability, Dokploy on economy. Close enough that a scorecard will not choose for you.

Your constraints will. On a 2 GB server, Coolify’s 500 to 800 MB idle footprint decides the question before anything else gets a vote. Running four client sites, project isolation and one-key server management decide it, and the RAM figure stops mattering. Setup time never decides dokploy vs coolify, since both install from a single command and arrive with Traefik and Let’s Encrypt already wired.

When Coolify is the right choice

Choose Coolify if you manage growing client work or several servers and need your deployment panel to preserve how your apps run locally. It suits teams that value organization and Compose flexibility over the smallest possible footprint.

• You manage several servers from one dashboard and want to add a node with a single SSH key.
• You run client work that needs project and environment isolation to keep apps, databases, and settings separate.
• Your Compose files use keys Swarm ignores, such as build or conditional depends_on.
• You self-host third-party software and want a catalog of more than 300 templates, including WordPress, n8n, and Supabase.
• You want scheduled S3-compatible backups with retention policies and dashboard restores.
• You have 4 GB or more of RAM, so the 500 to 800 MB control plane does not compete with your apps.

As the earlier architecture section explains, you accept one trade: Coolify does not provide automatic failover between nodes.

When Dokploy is the right choice

Dokploy suits side-project builders, solo developers, and small teams that value a lighter panel over a larger feature catalog.

• You run a single 2 GB server, where Dokploy’s roughly 150 to 300 MB idle footprint leaves more memory for your apps.
• You want fewer panel concepts to learn before deploying your first service.
• You want Docker Swarm to reschedule an app automatically when a cluster node drops.
• You prefer a smaller upgrade surface area with fewer supporting components to maintain.
• You want a local database dump on the server as well as an S3-compatible backup copy.
• You already maintain bespoke Compose files by hand, so a large template catalog adds little value.

The trade is clear: Swarm-incompatible Compose keys can fail quietly, cluster networking requires terminal work, and Dokploy has a shorter incident history than Coolify.

Running Coolify or Dokploy on Bluehost NVMe VPS

Both panels install from a single command. Neither one saves you from a server that is too small, so the last decision in the coolify vs dokploy comparison is the box underneath.

Four gigabytes is the line. Below it, Coolify’s 500 to 800 MB control plane competes with your apps and Dokploy is the safer pick. At 4 GB that pressure comes off, and the question stops being resource maths and goes back to what actually separates the two: Swarm scheduling against Compose fidelity.

The NVMe 4 plan sits exactly on that line. Two vCPUs, 4 GB DDR5, 100 GB NVMe SSD. It placed #2 for Best Value VPS in VPSBenchmarks’ April 2026 rankings and #1 for network performance. KVM isolation means those cores and that memory are yours, not shared with a noisy neighbour during a build.

What the fixed monthly rate buys is the workflow this article started with:

• Git push, unchanged. Connect GitHub, GitLab or Bitbucket. Push to a tracked branch and the panel builds, health checks and cuts over. Rollbacks are one click. Let’s Encrypt certificates issue and renew without you touching them.
• Databases and services without Compose files. PostgreSQL, MySQL, MongoDB and Redis provision in one click with generated credentials and scheduled dumps to S3-compatible storage. Coolify’s catalog covers 280+ one-click services, WordPress, Ghost, Plausible and n8n among them.
• Persistent containers. WebSockets, background workers and cron jobs run because nothing times out at thirty seconds and nothing goes stateless between requests.
• One price, every app. Two apps or twenty, one client or twelve, the number on the invoice does not move. For an agency, that is the whole argument.

Self-managed gives you root, and OS updates and security patches come with it. If owning that is the part you were hoping to avoid, Managed VPS adds 24/7 human support without changing the deployment model. Either way the apps, the data and the credentials stay on your server.

If Coolify is where you landed, our Coolify VPS hosting platform arrives preconfigured, so the panel is running before you open a terminal. If Dokploy is where you landed, the same NVMe 4 hardware fits it with room to spare, and the install is one command. Either way, the box is the same: pick a tier on Bluehost VPS hosting and start with the panel that matches your workload.

Coolify vs Dokploy FAQ