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AI · head to head

Avathon vs Dokku

Avathon logo

Avathon

AI

Industrial AI for asset performance and renewables, formerly SparkCognition

From
On request
Free plan
No
Dokku logo

Dokku

Cloud

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

From
Free
Free plan
Yes

The short version

  • Only Dokku has a free tier, so it costs nothing to try first.
  • Each has a real cost: Avathon the company rebranded from SparkCognition to Avathon and narrowed its focus after repeated reported layoff rounds, so reference checks and roadmap commitments made under the old name need reconfirming.; 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: Avathon covers Renewable Suite, Dokku covers Git push deploy.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Avathon and Dokku actually diverge.

Attributes where Avathon and Dokku differ
AttributeAvathonDokku
Starting priceOn requestFree
Pricing modelquoteOpen source, no licence fee
Free tierNoYes
PlatformsWeb, CloudLinux, Docker, CLI, Self-hosted
CategoryAICloud

Identical on both: user rating (Not yet rated).

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 Avathon

  • Renewable Suite
  • Loss attribution
  • Predictive maintenance models
  • Computer vision
  • Digital twin models
  • Work order integration
  • Fleet benchmarking
  • Document intelligence

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.

Avathon

  • A wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm countnot Dokku
  • A solar independent power producer detecting inverter and string underperformance that falls below the SCADA alarm thresholdnot Dokku
  • A manufacturer with years of historian data and failure records who wants failure prediction models trained on their own historynot Dokku
  • A site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zonesnot Dokku

Dokku

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

Where each one falls short

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

Avathon

  • The company rebranded from SparkCognition to Avathon and narrowed its focus after repeated reported layoff rounds, so reference checks and roadmap commitments made under the old name need reconfirming.
  • Headcount is in the low hundreds against a product portfolio spanning renewables, vision, predictive maintenance and document AI, which is thin coverage per product line for enterprise support expectations.
  • Model accuracy depends on having enough labelled historical failures, and sites with short data history or poor maintenance record-keeping get generic anomaly detection rather than useful failure prediction.
  • Nothing is published about pricing or asset-count thresholds, so there is no way to judge whether a small fleet is even a viable customer without entering a sales cycle.
  • It sits on top of your SCADA and CMMS rather than replacing them, so the integration and asset-hierarchy mapping work is a real project cost that the software subscription does not cover.

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

Avathon

On request
  • Avathon$undefined/year
    • Annual subscription sized by asset count or installed megawatts for renewables
    • Separate pricing for vision, predictive maintenance and document products
    • Model development and data onboarding quoted as a professional services project

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 Avathon if

  • You need renewable suite.
  • You work on Web, Cloud.
  • You also want loss attribution.

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.

Questions people ask

Is Avathon or Dokku better?
Neither clearly leads. Avathon starts at On request and Dokku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Avathon or Dokku?
Dokku has a free tier; the other does not. Paid plans start at On request for Avathon and Free for Dokku.
Does Avathon or Dokku run on more platforms?
Avathon runs on Web, Cloud. Dokku runs on Linux, Docker, CLI, Self-hosted.
Can I use Dokku for free?
Yes. Dokku has a free tier, so you can try it without paying. Avathon starts at On request.
What is Avathon best used for?
Avathon is most often used for a wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm count, a solar independent power producer detecting inverter and string underperformance that falls below the scada alarm threshold, a manufacturer with years of historian data and failure records who wants failure prediction models trained on their own history, a site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zones. Of those, a wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm count and a solar independent power producer detecting inverter and string underperformance that falls below the scada alarm threshold are not what Dokku is typically brought in for.
What can Avathon do that Dokku cannot?
Avathon covers Renewable Suite, Loss attribution, Predictive maintenance models, Computer vision. Dokku covers Git push deploy, Heroku buildpacks, Datastore plugins, Automatic certificates.

Answered from the vendors’ own pages

Avathon: Is this the same company as SparkCognition?

Yes. SparkCognition rebranded to Avathon and refocused on industrial and government asset AI.

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.

Avathon: Which product is most mature?

The renewable energy suite for wind and solar underperformance, which has the longest production deployment history.

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.

Avathon: Does it need my historian data in the cloud?

Generally yes for model training and ongoing scoring, which is a security review item for utility and defence customers.

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.

Avathon: Can it work without historical failure records?

It will still do anomaly detection, but failure prediction models need labelled historical failures to be worth the deployment cost.

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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