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AI · head to head

Avathon vs Heroku

Avathon logo

Avathon

AI

Industrial AI for asset performance and renewables, formerly SparkCognition

From
On request
Free plan
No
Full reviewWebsite
Heroku logo

Heroku

Cloud

Cloud Application Platform

From
$5/month
Free plan
No
Full reviewWebsite

The short version

  • 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.; Heroku there is no free dyno tier; the cheapest Eco dyno is $5 per month
  • They diverge on capability: Avathon covers Renewable Suite, Heroku covers Git-based deployment.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Avathon and Heroku actually diverge.

Attributes where Avathon and Heroku differ
AttributeAvathonHeroku
Starting priceOn request$5/month
Pricing modelquotesubscription
PlatformsWeb, CloudWeb, Api, Workers
CategoryAICloud
FoundedUnknown2007

Identical on both: free tier (No), 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 Heroku

  • Git-based deployment
  • Buildpacks
  • Dynos (containers)
  • Add-ons marketplace
  • Postgres database
  • Environment variables
  • Logging
  • API

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 Heroku
  • A solar independent power producer detecting inverter and string underperformance that falls below the SCADA alarm thresholdnot Heroku
  • A manufacturer with years of historian data and failure records who wants failure prediction models trained on their own historynot Heroku
  • A site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zonesnot Heroku

Heroku

  • Application hostingnot Avathon
  • Database as a servicenot Avathon
  • CI/CD pipelinesnot Avathon
  • API deploymentnot 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.

Heroku

  • There is no free dyno tier; the cheapest Eco dyno is $5 per month
  • Eco dynos sleep after 30 minutes of inactivity, are restricted to personal accounts and allow only 2 process types
  • Free SSL and 10 process types start at the Basic dyno at $7 per month
  • Private and Shield dyno types require a Private Space, which is billed on top of the dynos
  • Private Space dynos start at $250 per month for Private-M and $500 per month for Private-L
  • Dyno prices are per dyno per month, so an app with several process types multiplies the bill

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

Heroku

$5/month
  • Eco Dyno$5/month
    • 0.5 GB RAM
    • Git/Docker deploy
    • Custom domains
  • Basic Dyno$7/month
    • 0.5 GB RAM
    • Always-on
    • Free SSL
  • Standard-1X Dyno$25/month
    • 0.5 GB RAM
    • Horizontal scaling
    • App metrics
  • Standard-2X Dyno$50/month
    • 1 GB RAM
    • Horizontal scaling
    • App metrics

Which should you pick?

Choose Avathon if

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

Choose Heroku if

  • You need git-based deployment.
  • You work on Web, Api, Workers.
  • You also want buildpacks.
Heroku review

Questions people ask

Is Avathon or Heroku better?
Neither clearly leads. Avathon starts at On request and Heroku at $5/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Avathon or Heroku?
Avathon starts at On request and Heroku at $5/month.
Does Avathon or Heroku run on more platforms?
Avathon runs on Web, Cloud. Heroku runs on Web, Api, Workers.
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 Heroku is typically brought in for.
What can Avathon do that Heroku cannot?
Avathon covers Renewable Suite, Loss attribution, Predictive maintenance models, Computer vision. Heroku covers Git-based deployment, Buildpacks, Dynos (containers), Add-ons marketplace.

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.

Heroku: How much does Heroku cost?

Heroku dyno pricing starts at $5 per month USD for the Eco tier (with 30-minute inactivity sleep), $7 per month for Basic (always-on), and scales up to $1,500 per month for Performance-2XL with 126 GB RAM.

Source
Avathon: Which product is most mature?

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

Heroku: What is the cheapest always-on Heroku plan?

The Basic Dyno at $7 per month USD is Heroku's cheapest always-on container option. It provides 0.5 GB RAM, free SSL, and support for 10 process types.

Source
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.

Heroku: How is Heroku Postgres priced?

Heroku Postgres Essential tier (shared resources) starts at $5-$20 per month for 1-32 GB disk. Standard tier (dedicated) ranges $50-$12,000 per month. Premium, Private, Shield, and Advanced tiers offer higher performance at corresponding prices.

Source
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.

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