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Cloud · head to head

DigitalOcean vs Dokku

DigitalOcean logo

DigitalOcean

Cloud

The developer cloud

From
Free
Rated
-
Full reviewWebsite
Dokku logo

Dokku

Cloud

Single-server platform that accepts a git push and runs Heroku buildpacks on Docker

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DigitalOcean data transfer overage charged at $0.01 per GiB beyond included allowances; Dokku one maintainer accounts for nearly all human commit activity and the project records roughly 10,500 US dollars of annual income on Open Collective, which is not enough to fund a maintainer, so continuity rests on one person continuing to volunteer.
  • They diverge on capability: DigitalOcean covers Droplets (VPS), Dokku covers Git push deploy.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which DigitalOcean and Dokku actually diverge.

Attributes where DigitalOcean and Dokku differ
AttributeDigitalOceanDokku
Pricing modelusage-basedOpen source, no licence fee
PlatformsLinux, Cloud (AWS, GCP, Azure backend)Linux, Docker, CLI, Self-hosted
Founded2011Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DigitalOcean

  • Droplets (VPS)
  • Managed Kubernetes
  • App Platform
  • Managed Databases
  • Spaces (Object Storage)
  • Floating IPs
  • Load Balancers
  • Firewalls

Only in Dokku

  • Git push deploy
  • Heroku buildpacks
  • Datastore plugins
  • Automatic certificates
  • Zero downtime deploys
  • Pluggable schedulers

What people use each for

The jobs each tool is most often brought in to do.

DigitalOcean

  • Developers seeking affordable VPS starting at $4/month for small applicationsnot Dokku
  • Teams deploying containerised workloads with Kubernetes starting at $12/month cluster costnot Dokku
  • Data scientists and ML engineers requiring NVIDIA GPU access at $1.91/GPU/hour (committed)not Dokku

Dokku

  • Running a dozen side projects and client applications on one virtual private server with Heroku style deploymentnot DigitalOcean
  • Moving off a managed platform when the monthly bill has grown faster than the traffic hasnot DigitalOcean
  • A consultancy that wants buildpack deployments without teaching every client team Kubernetesnot DigitalOcean
  • Keeping a legacy Procfile application alive on hardware you control after a managed platform deprecates its stacknot DigitalOcean

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DigitalOcean

  • Data transfer overage charged at $0.01 per GiB beyond included allowances
  • Free tier includes only 3 static sites; additional static sites require paid upgrade
  • Container registry free tier capped at 500 MiB storage; exceeding requires paid tier
  • Functions free tier allows 90,000 GiB-seconds monthly; overages billed on usage basis
  • GPU Droplets require minimum monthly commitment for lower hourly rates; on-demand significantly more expensive

Dokku

  • One maintainer accounts for nearly all human commit activity and the project records roughly 10,500 US dollars of annual income on Open Collective, which is not enough to fund a maintainer, so continuity rests on one person continuing to volunteer.
  • Dokku Pro asks 849 US dollars for a lifetime licence from a project with no disclosed legal entity behind the promise and no published refund terms, while the product is still described as in development at early bird pricing.
  • Dokku is single-server by design, and the k3s scheduler that provides multi-node support is missing log retrieval, process inspection and content-based health checks, with a post-run hook the documentation says does not consistently fire.
  • Supported operating systems are limited to Ubuntu 22.04 or 24.04 and Debian 11 or later, so organisations standardised on Red Hat, Rocky or Alma Linux cannot run it on their approved base image.
  • Backups are separate commands per datastore plugin that you schedule yourself, with no unified snapshot, no point-in-time recovery and no tested restore path, so verifying that a restore works is entirely your responsibility.

Pricing, plan by plan

DigitalOcean

Free

No published plan breakdown. See the DigitalOcean review.

Dokku

Free
  • DokkuFree
    • MIT licensed, no usage limits
    • Command line and SSH only
    • All datastore and certificate plugins
  • Dokku Pro$849/one-time
    • Lifetime licence with free upgrades and no subscription
    • Covers 1 production and 2 pre-production servers
    • Web dashboard and JSON REST API

Which should you pick?

Choose DigitalOcean if

  • You need droplets (vps).
  • You want to start without paying.
  • You work on Linux, Cloud (AWS, GCP, Azure backend).
  • You also want managed kubernetes.
DigitalOcean review

Choose Dokku if

  • You need git push deploy.
  • You want to start without paying.
  • You work on Linux, Docker, CLI, Self-hosted.
  • You also want heroku buildpacks.
Dokku review

Questions people ask

Is DigitalOcean or Dokku better?
Neither clearly leads. DigitalOcean starts at Free and Dokku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DigitalOcean or Dokku?
DigitalOcean starts at Free and Dokku at Free.
Does DigitalOcean or Dokku run on more platforms?
DigitalOcean runs on Linux, Cloud (AWS, GCP, Azure backend). Dokku runs on Linux, Docker, CLI, Self-hosted.
Can I use DigitalOcean for free?
Both have a free tier, so you can try either at no cost before committing.
What is DigitalOcean best used for?
DigitalOcean is most often used for developers seeking affordable vps starting at $4/month for small applications, teams deploying containerised workloads with kubernetes starting at $12/month cluster cost, data scientists and ml engineers requiring nvidia gpu access at $1.91/gpu/hour (committed). Of those, developers seeking affordable vps starting at $4/month for small applications and teams deploying containerised workloads with kubernetes starting at $12/month cluster cost are not what Dokku is typically brought in for.
What can DigitalOcean do that Dokku cannot?
DigitalOcean covers Droplets (VPS), Managed Kubernetes, App Platform, Managed Databases. Dokku covers Git push deploy, Heroku buildpacks, Datastore plugins, Automatic certificates.

Answered from the vendors’ own pages

DigitalOcean: How much does a DigitalOcean Droplet cost?

The cheapest Basic Droplet is $4.00 per month, or $0.00595 per hour, and includes 1 vCPU, 512 MiB of memory, 10 GiB of SSD and 500 GiB of transfer. The next step up is $6.00 per month with 1 GiB of memory, 25 GiB of SSD and 1,000 GiB of transfer.

Source
Dokku: Is Dokku still maintained?

Yes. Version 0.38.27 shipped in August 2026 with roughly six releases in the preceding two months. The caveat is that one maintainer writes nearly all of it.

DigitalOcean: How is DigitalOcean billed?

Droplets are billed hourly as well as monthly, and DigitalOcean states that Bundled Plan and v5 Droplets are billed on a per second basis with a 60 second minimum charge.

Source
Dokku: What does Dokku Pro give me over the free edition?

A web dashboard, a JSON REST API, git push over HTTPS, browser log tailing, team management and email support from the maintainers. It costs 849 US dollars once for one production and two pre-production servers.

DigitalOcean: What does the cheapest DigitalOcean plan include?

At $4.00 per month you get a single vCPU, 512 MiB of memory, 10 GiB of SSD storage and 500 GiB of outbound transfer. That is the smallest Basic Droplet DigitalOcean sells.

Source
Dokku: Can Dokku run across multiple servers?

Only through the k3s or Nomad schedulers. The k3s path is missing several commands and health check types, and the older Kubernetes scheduler is deprecated and no longer developed.

Dokku: Will my Heroku application run on it unchanged?

Usually. Dokku runs the same buildpacks and reads a Procfile, so the application layer normally moves across. Add-ons, scaling behaviour and backups are the parts you have to rebuild.

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