Softwr

Cloud · head to head

Dokku vs Lambda

Dokku logo

Dokku

Cloud

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

From
Free
Rated
-
Full reviewWebsite
Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Dokku has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Lambda no free tier or trial, requiring immediate commitment for testing
  • They diverge on capability: Dokku covers Git push deploy, Lambda covers Superclusters.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Dokku and Lambda actually diverge.

Attributes where Dokku and Lambda differ
AttributeDokkuLambda
Starting priceFreeOn request
Pricing modelOpen source, no licence feePay-as-you-go hourly pricing with volume discounts for reserved capacity
Free tierYesNo
PlatformsLinux, Docker, CLI, Self-hostedCloud
FoundedUnknown2012

Identical on both: 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 Dokku

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

Only in Lambda

  • Superclusters
  • 1-Click Clusters
  • On-demand instances
  • Liquid cooling
  • InfiniBand networking
  • Managed orchestration
  • Co-engineering support

What people use each for

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

Dokku

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

Lambda

  • Training foundation models at scale with dedicated GPU infrastructurenot Dokku
  • Large-scale inference serving on enterprise-grade hardwarenot Dokku
  • Multi-GPU distributed training with InfiniBand networkingnot Dokku
  • Single-tenant secure compute for regulated industriesnot Dokku
  • AI lab infrastructure for frontier model developmentnot Dokku

Where each one falls short

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

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.

Lambda

  • No free tier or trial, requiring immediate commitment for testing
  • Single-tenant Superclusters require custom pricing discussions
  • Pricing complexity across multiple GPU types and cluster sizes
  • Less suitable for experimentation or small teams with tight budgets

Pricing, plan by plan

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

Lambda

On request
  • 1-Click Clusters B200$undefined/hourly
    • 16 GPUs: $9.86/GPU/hour
    • 256+ GPUs: $8.87/GPU/hour
    • 1-year+ reserved discounts available
  • 1-Click Clusters H100$undefined/hourly
    • 16 GPUs: $6.16/GPU/hour
    • 256+ GPUs: $5.54/GPU/hour
  • On-Demand Instances B200$undefined/hourly
    • SXM6: $6.69/GPU/hour
  • On-Demand Instances H100$undefined/hourly
    • SXM: $3.99/GPU/hour

Which should you pick?

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

Choose Lambda if

  • You need superclusters.
  • You work on Cloud.
  • You also want 1-click clusters.
Lambda review

Questions people ask

Is Dokku or Lambda better?
Neither clearly leads. Dokku starts at Free and Lambda at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dokku or Lambda?
Dokku has a free tier; the other does not. Paid plans start at Free for Dokku and On request for Lambda.
Does Dokku or Lambda run on more platforms?
Dokku runs on Linux, Docker, CLI, Self-hosted. Lambda runs on Cloud.
Can I use Dokku for free?
Yes. Dokku has a free tier, so you can try it without paying. Lambda starts at On request.
What is Dokku best used for?
Dokku is most often used for running a dozen side projects and client applications on one virtual private server with heroku style deployment, moving off a managed platform when the monthly bill has grown faster than the traffic has, a consultancy that wants buildpack deployments without teaching every client team kubernetes, keeping a legacy procfile application alive on hardware you control after a managed platform deprecates its stack. Of those, running a dozen side projects and client applications on one virtual private server with heroku style deployment and moving off a managed platform when the monthly bill has grown faster than the traffic has are not what Lambda is typically brought in for.
What can Dokku do that Lambda cannot?
Dokku covers Git push deploy, Heroku buildpacks, Datastore plugins, Automatic certificates. Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling.

Answered from the vendors’ own pages

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.

Lambda: What makes Lambda's infrastructure different?

Lambda offers single-tenant Superclusters with exclusive GPU access, liquid cooling, and NVIDIA Quantum-2 InfiniBand networking. The company is 100% focused on AI infrastructure with co-engineering support from teams who built infrastructure for major AI labs.

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.

Lambda: How does pricing work for large clusters?

1-Click Clusters pricing ranges from $5.54-$9.86 per GPU/hour depending on GPU type and cluster size, with volume discounts for 256+ GPUs. Reserved capacity is available at custom pricing for 1-year+ commitments.

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.

Lambda: Which GPU types are available?

Lambda offers NVIDIA B200, H100, A100, and Tesla V100 GPUs. Individual instances range from V100 at $0.79/hour to B200 SXM6 at $6.69/hour. Newer models like Vera Rubin are available in Superclusters.

Source
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.

Share

Related pages

More on Dokku

More on Lambda

Keep looking

Other head to heads