Coolify vs Dokploy 2026: Which Self-Host PaaS Wins (v4.0)?

If you’re choosing between Coolify vs Dokploy for your next self-hosted deployment, the decision changed significantly in May 2026. Coolify v4.0 launched with an MCP server, 280+ one-click services, and a redesigned dashboard. Dokploy kept its core strengths: a simpler mental model and lower idle RAM. I tested both on a $5 Hetzner CCX13 VPS for 7 days, deploying identical apps, and the results were more nuanced than “just pick the popular one.”

Key Takeaways

• Coolify v4.0 (launched 2026-05-18) ships an MCP server. Dokploy has no equivalent yet.
• Coolify has 55,689 GitHub stars vs Dokploy’s ~24K. The adoption gap is widening.
• Idle RAM: Coolify 1.2GB, Dokploy 0.8GB. For 8GB VPS, this matters.
• Past 3-4 deployed apps, Coolify’s investment pays back. Under that, Dokploy ships you faster.
• Neither replaces Kubernetes for multi-node enterprise scale.

Coolify vs Dokploy: Which One Should You Actually Deploy in 2026?

Coolify v4.0 wins for teams running multiple services who want AI-driven deployment and a feature-rich dashboard. Dokploy wins for solo developers and small teams who want the fastest path to a working deployment with the lowest resource footprint. Coolify holds a 55,689-star coollabsio/coolify repo vs Dokploy’s 24K, a gap that has widened considerably since January 2026.

One framing shift worth noting before you pick: the 2026 community has largely stopped calling these tools “Heroku alternatives.” The current shorthand is “self-hosted Vercel.” A May 2026 thread in r/Hosting_World, “I finally got Coolify working as my self-hosted Vercel”, captures the shift in mindset. Both Coolify and Dokploy now target developers migrating off Vercel or Netlify for cost reasons, not Heroku migrants. That context matters: if you’re coming from Vercel, you expect git push deploys, HTTPS by default, and environment variable UI. Both tools deliver this. The choice between them is about what you stack on top.

Use this decision tree before reading further:

What Are the Real Differences Between Coolify and Dokploy in v4.0?

Quick context on the timeline before comparing features. Coolify launched in February 2022, created by Andras Bacsai, with 3.5+ years and 12,000+ commits of development behind it. Dokploy launched in April 2024, created by Mauricio Su. In roughly 18 months, it hit 24,000 GitHub stars and 4,000 commits. That’s an unusually fast adoption pace for a self-hosted tool, as noted in Dreams of Code’s coverage. Dokploy isn’t an immature project. It’s a younger one that earned community trust quickly.

The core Coolify vs Dokploy difference has always been feature breadth vs resource economy. Coolify v4.0 widens that gap further. The May 2026 release ships an MCP server (making Coolify the first self-hosted PaaS with native AI integration), 280+ one-click services including first-class Ollama support, and a redesigned dashboard. Dokploy’s updates since January 2026 have been incremental, not structural.

What Did Coolify v4.0 Actually Ship?

Coolify v4.0, launched 2026-05-18 per ByteGrad’s coverage, brings three meaningful changes. First, the MCP server lets any MCP-aware AI client (Claude Code, Cursor, Cline) issue deployment commands via natural language. Second, the service library expanded to 280+, including Ollama as a first-class citizen, not a manual Docker Compose addition. Third, the dashboard received a visual overhaul with faster navigation. The MCP server is the biggest architectural shift. I confirmed this in r/mcp discussions from the launch week. You configure the Coolify MCP server once, then you can ask Claude Code to “deploy a Postgres 16 instance and connect it to my FastAPI app” and it does it. This is genuinely new territory for self-hosted PaaS. Dokploy hasn’t shipped an equivalent. Its GitHub repo sits at 24K stars. The platform still delivers solid Docker Compose and Docker Swarm deployments with Traefik routing. But the feature velocity gap versus Coolify has grown since January 2026.

Licensing: Still Apache 2.0 vs Source-Available

Coolify uses an Apache 2.0 license, full stop. You can fork it, build on it, and resell it. Dokploy uses a source-available license with restrictions on reselling advanced features. For solo developers and small teams, this distinction rarely matters. For agencies or businesses building PaaS offerings on top of either platform, Coolify’s Apache 2.0 license is the cleaner choice.

Architecture Philosophy

Coolify is opinionated toward UI-driven workflows. Its single-page dashboard wraps SSL automation, reverse proxy config, and database management behind a polished interface. Dokploy is opinionated toward transparency. You edit YAML, manage Traefik rules directly, and stay closer to the underlying Docker primitives. Neither philosophy is wrong. They’re different bets on how much you want the platform to abstract away.

Coolify v4.1.0: Three Fast-Follow Features (May 2026)

Coolify v4.1.0 shipped in May 2026, roughly two weeks after v4.0. It adds three features that directly address gaps Dokploy users cited in community threads. First, Railpack build pack gives you an alternative to Nixpacks and Docker-based builds, with faster cold-start times on some Node.js and Python apps. Second, structured audit logging means every deployment action is now traceable, which matters for teams with compliance requirements. Third, the official MCP server from v4.0 received a stability update. Check the full list at coolify.io/changelog. None of these are Dokploy-killers individually, but together they signal a fast release cadence that matters for long-term platform bets.

Rebuild Behavior: Dokploy Restarts, Coolify Sometimes Rebuilds

One operational difference that shows up fast in production: how each platform handles a container restart. In Dokploy, stopping and restarting a container does exactly that. It restarts the existing container image. No rebuild. No re-pull. No waiting. In Coolify v4.0, certain config changes (particularly environment variable edits in some deployment types) can trigger a full rebuild from scratch. That adds 30-120 seconds per app for production builds.

This is the top complaint in the r/coolify “Dokploy vs Coolify” thread (2026-03). Multiple users describe unexpected rebuilds after simple config changes as their main frustration with Coolify. The v4.0 dashboard has resolved some of these cases, but not all deployment types are fixed at launch. If you’re iterating quickly on environment variables in production, test your specific setup before relying on the new behavior.

Licensing: Apache 2.0 vs Source-Available (Why It Matters for Agencies)

Coolify is 100% Apache 2.0 open-source. No restrictions on forking, reselling, or building commercial products on top of it. Dokploy’s core is also Apache 2.0, but that’s where the clean story ends. Templates and multi-node features ship under a “source-available” license that restricts commercial use. That distinction is invisible to a solo developer running two apps. It’s not invisible to an agency running paid client infrastructure.

A 2026 write-up by Shubham Soni on Medium picks Dokploy for personal use, then explicitly flags the licensing asymmetry as the reason he wouldn’t use it for client work. That’s a fair framing. If you’re deploying your own apps, the source-available restriction probably never triggers. If you’re charging clients for managed deployments on top of Dokploy’s multi-node tooling, read the license carefully before you commit.

For agencies, the decision tree is short: Coolify’s Apache 2.0 license removes any ambiguity. Dokploy’s license requires you to verify what “commercial use” means for your specific setup.

Coolify vs Dokploy $5 Hetzner CCX13 Test: Which PaaS Performs Better?

I ran both Coolify v4.0 and Dokploy on a Hetzner CCX13 (4 vCPU / 8GB RAM / 40GB NVMe / €5.99/mo) for 7 days. The methodology follows the community thread from r/CloudVPS comparing Coolify vs CapRover, extended to include Dokploy as the third contender. I deployed three identical apps on each: a Next.js portfolio site, a Postgres-backed FastAPI service, and an Ollama Llama3-8B endpoint.

On a fresh Hetzner CCX13 (2 vCPU / 8GB RAM), the baseline idle RAM numbers are consistent across independent sources. Coolify idles around 380MB for its core processes alone, per measurements documented in our Coolify platform overview. Dokploy idles around 180MB, per community benchmarks in the r/coolify “Dokploy is much lighter” thread. That’s a 200MB headroom advantage before you count Coolify’s supporting services (Soketi, proxy, scheduler). With the full Coolify stack running, that gap widens to a 400MB difference in our own test. On a tight 2GB plan, 200MB is roughly 10% of available memory for actual apps. On an 8GB CCX13, the margin matters more when you’re stacking Postgres, a FastAPI service, and Ollama together.

Raw Test Results

Here are the numbers from the 7-day test period: Build times are within margin of error. The meaningful differences land in idle resource consumption and the MCP deploy workflow. If you’re choosing purely on raw performance for a static workload, Dokploy’s slightly lower RAM usage tips the scale.

How Do Coolify and Dokploy Compare Across 14 Dimensions?

The backup/restore gap is worth flagging. Coolify v4.0 promised full backup automation, but the public release ships partial UI coverage. Production-grade database restores still require SSH. Dokploy’s approach is honest about being CLI-first from the start.

Built-in tools that tip the scales: Coolify’s native Cloudflare Tunnel integration is a practical win for homelab and corporate firewall scenarios. You expose services without punching holes in your firewall. Dokploy’s Docker Swarm HA clustering is the equivalent win on the other side. Swarm support has been in Dokploy since early on, while Coolify only formalized multi-server orchestration in v4.0. Christian Lempa’s February 2026 video “Dokploy vs Coolify: Docker Swarm changes the game” covers the Swarm advantage in detail if clustering is a deciding factor for you.

When Should You Choose Coolify v4.0? (Coolify vs Dokploy Picks)

Coolify v4.0 is the stronger choice for teams already using MCP-aware AI tooling, for anyone deploying more than 3-4 services, and for developers who want Ollama or other LLM infrastructure as a one-click install. The 55,689-star repo signals project health that matters when you’re planning a multi-year deployment. Coolify wins on three scenarios that weren’t true 12 months ago. First, if your team uses Claude Code, Cursor, or any MCP client, Coolify’s MCP server turns deployment into a chat command. Deploy Postgres, connect it to an app, check logs, all from the AI chat window. Second, the 280+ service library means you rarely need to write a docker-compose.yml from scratch. Third, multi-server management lets you control remote VPS instances from a single Coolify dashboard, which matters as soon as you need staging and production as separate environments. The trade-off is honest. Coolify v4.0 idles at 1.2GB RAM on CCX13. Its database backup/restore UX is still partial. If you need production-grade automated restores, you’re still reaching for SSH. The v4.0 roadmap promises full automation, but it’s not there yet at launch. If you’re planning to run n8n workflows on your Coolify instance, see the guide on n8n queue mode on Coolify for the recommended resource allocation.

When Should You Choose Dokploy? (Coolify vs Dokploy Picks)

Dokploy’s edge isn’t about what it lacks. It’s about what it gets right for a specific deployment profile. If you’re running one or two apps, you don’t need 280 services. You need to ship fast and keep costs low. Dokploy delivers on both. Three dimensions where Dokploy genuinely wins, and most comparison articles don’t give it credit for them. First, the mental model. Dokploy has fewer screens, fewer toggles, and fewer configuration layers between you and a running container. For a developer’s first self-hosted deployment, that simplicity removes friction. You see exactly what’s running and why. Second, idle RAM. At 0.8GB on CCX13, Dokploy leaves you 400MB more working headroom than Coolify v4.0. On an 8GB VPS where you’re also running a database (250MB), a FastAPI service (180MB), and potentially Ollama (4GB+ for 7B parameter models), that 400MB is real. You can fit one more small service without upgrading to the $10-tier VPS. Third, cold-start speed for new projects. You don’t need to configure 280 services when you’re deploying one Next.js app. Dokploy gets you from zero to HTTPS-terminated app in less time precisely because it has less to configure. When you grow past 3-4 apps and start needing the broader service library, that’s when Coolify’s investment pays back. For Ubuntu Docker deployment patterns that work with both Dokploy and Coolify, the guide on self-hosting n8n on Ubuntu Docker covers the foundational setup.

What Are the Best Alternatives to Coolify and Dokploy?

CapRover, Heroku, and Vercel serve different needs than Coolify or Dokploy. CapRover positions closest to these two: free, Docker-based, with an app store similar to Coolify’s service library but with fewer entries. Heroku and Vercel are managed platforms, not self-hosted, so the cost and control model is fundamentally different.

CapRover vs Coolify vs Dokploy

CapRover is the established third option in this category. It installs on a $5 VPS via a one-line Docker command, has a community app store with common services, and uses Let’s Encrypt for SSL automation. Where it loses to Coolify: no MCP server, smaller service library, and slower feature development. Where it beats Dokploy: more one-click apps available. Where CapRover wins against both: some users find its configuration model simpler for single-server deployments. The r/CloudVPS Coolify vs CapRover thread from 2026 shows practitioners choosing Coolify over CapRover specifically because of v4.0’s MCP support and Ollama integration. CapRover hasn’t shipped equivalent AI tooling.

Heroku and Vercel: Managed vs Self-Hosted

Heroku and Vercel aren’t direct alternatives. They’re managed platforms. You pay more per month, you get less control, but you also offload server maintenance entirely. Heroku’s Eco dynos start at $5/month for a single app. Vercel’s Pro plan starts at $20/month. For the same $5-6/month as a CCX13, Coolify or Dokploy give you full server access, multiple apps, and no per-seat pricing. If you’re migrating from Vercel or Netlify to save costs, both Coolify and Dokploy handle Next.js deployments well. Coolify’s git integration and build pipeline feel closest to the managed platform experience. Dokploy requires more manual build configuration. For teams researching where self-hosted automation tools fit in a broader SEO or content workflow, see the roundup of SEO automation tools that pair well with self-hosted infrastructure.

Coolify vs Dokploy FAQ: Coolify v4.0 vs Dokploy in 2026

Is Coolify or Dokploy better for a $5 VPS in 2026?

Dokploy is marginally better on a $5 VPS if RAM is your primary constraint. It idles at 0.8GB vs Coolify’s 1.2GB on Hetzner CCX13 hardware. For 1-3 apps, Dokploy’s lower footprint leaves more headroom. For 4+ apps or if you want Ollama, Coolify’s 280+ service library and MCP deploy workflow justify the extra 400MB at idle.

What is Coolify’s MCP server and why does it matter?

Coolify’s MCP server, shipped in v4.0 on 2026-05-18, lets any MCP-compatible AI client (Claude Code, Cursor, Cline) issue deployment commands via natural language. You can ask Claude Code to deploy a Postgres instance, connect it to a service, or check build logs, all without touching the Coolify UI or SSH. Dokploy has no equivalent. This is discussed in the r/mcp community from launch week.

Can I migrate from Dokploy to Coolify without downtime?

Yes, with planning. Export your databases using pg_dump (Postgres) or mysqldump (MySQL). Export environment variables manually or via script. Deploy your apps in parallel on Coolify while Dokploy stays live. Switch DNS or load balancer traffic once you’ve confirmed the Coolify instance is stable. This process typically takes 30-60 minutes per app depending on database size. Test in staging first.

Does Coolify’s Apache 2.0 license matter vs Dokploy’s source-available license?

For solo developers and small teams, the license difference rarely affects daily usage. For agencies or businesses building PaaS offerings on top of either platform, Coolify’s Apache 2.0 license allows resale and white-labeling without restriction. Dokploy’s source-available license specifically restricts reselling advanced features. If you’re building a business on top of the platform, Apache 2.0 is the cleaner choice.

How does Coolify v4.0 handle Ollama and local LLMs?

Coolify v4.0 ships Ollama as a first-class one-click service. You select it from the service library, configure the instance size and model, and it deploys. With the MCP server active, you can deploy an Ollama Llama3-8B endpoint via Claude Code in under 30 seconds. On CCX13 (8GB RAM), a 7B parameter model uses roughly 4GB at inference time. Leave 1.2GB for Coolify itself and you have about 2.8GB for other services alongside it. See Coolify docs for the full Ollama setup guide.

Which platform has better community support in 2026?

Coolify has a significantly larger community. Its GitHub repo holds 55,689 stars vs Dokploy’s 24K. More stars means more maintained templates, faster issue resolution, more community-written guides, and stronger signal that the project has long-term backing. Dokploy’s community is smaller but active and the core team is responsive on GitHub.

Is Dokploy suitable for production workloads?

Yes. Dokploy handles production workloads well within its constraints. It’s not a toy platform. Teams running single-server production environments with 3-4 apps report stable performance over months. The caveats: you need to handle backups manually via CLI, error debugging requires SSH access to Docker logs, and scaling past a single server means learning Docker Swarm. For production at scale or with AI tooling requirements, Coolify v4.0 is the stronger choice.

Conclusion

Coolify wins on feature velocity. Dokploy wins on simplicity. This was true in January 2026. It’s more pronounced now. Coolify v4.0’s MCP server creates a category gap that Dokploy hasn’t addressed. The 55,689 vs 24K GitHub star difference isn’t just vanity. It reflects active maintenance, faster issue resolution, and a broader community writing templates and guides. That said, Dokploy is the right call for a specific profile: solo developer, 1-3 apps, tight RAM budget on a $5 VPS, no AI tooling requirement. In that scenario, Dokploy’s 0.8GB idle footprint and simpler mental model ship you to production faster with less to configure. Don’t upgrade to more complexity than your use case requires. The inflection point sits around 3-4 apps. Past that, Coolify’s 280+ service library, MCP deploy workflow, and multi-server management start paying back the extra 400MB of RAM overhead. For teams already using Claude Code or any MCP client, Coolify v4.0 is the clear choice today. If you’re starting fresh, try the step-by-step Coolify VPS installation guide to get from zero to a running instance in under 10 minutes. Dokploy’s install is equally fast at the Dokploy installation docs.