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Energy · head to head

EnergyCAP vs H2O.ai

EnergyCAP logo

EnergyCAP

Energy

Utility bill and energy management software

From
$1000/month
Rated
-
Full reviewWebsite
H2O.ai logo

H2O.ai

Machine Learning

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only H2O.ai has a free tier, so it costs nothing to try first.
  • Each has a real cost: EnergyCAP priced per meter per year, so cost scales with how many utility connection points exist rather than with users or sites; H2O.ai java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
  • They diverge on capability: EnergyCAP covers Utility bill management, H2O.ai covers AutoML.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which EnergyCAP and H2O.ai actually diverge.

Attributes where EnergyCAP and H2O.ai differ
AttributeEnergyCAPH2O.ai
Starting price$1000/monthFree
Pricing modelsubscriptionfreemium
Free tierNoYes
PlatformsWeb, ApiWeb, Cloud
CategoryEnergyMachine Learning
Founded19802011

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 EnergyCAP

  • Utility bill management
  • Energy accounting
  • Cost allocation
  • Sustainability reporting
  • Weather normalization
  • Rate analysis
  • Budgeting
  • Benchmarking

Only in H2O.ai

  • AutoML
  • Distributed computing
  • Feature engineering
  • Model explainability
  • Time series forecasting
  • Spark
  • Hadoop
  • Python

What people use each for

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

EnergyCAP

  • Tracking utility bills and energy consumption across a property portfolionot H2O.ai
  • Reporting on energy spend and emissions for an organisationnot H2O.ai

H2O.ai

  • Distributed in-memory machine learning over large datasetsnot EnergyCAP
  • Training and productionising models from R or Python against a shared H2O clusternot EnergyCAP

Where each one falls short

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

EnergyCAP

  • Priced per meter per year, so cost scales with how many utility connection points exist rather than with users or sites
  • No figure is published at any level, and every package is quoted by sales
  • Emissions, interval data, bill capture and bill pay are separately priced add ons rather than part of the core platform

H2O.ai

  • Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
  • Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
  • H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
  • Supported Python versions are limited to 3.7 through 3.11
  • The Flow web UI requires an internet browser and is the only graphical interface

Pricing, plan by plan

EnergyCAP

$1000/month
  • Essential$1000/month
    • Utility bill management
    • Energy tracking
    • Basic reporting
  • Professional$2500/month
    • Advanced analytics
    • Sustainability reporting
    • Budgeting tools
  • Enterprise$undefined/month
    • Unlimited users
    • Custom integrations
    • API access

H2O.ai

Free
  • H2O-3 Open SourceFree
    • Core algorithms
    • AutoML
    • Community support
  • Driverless AIFree
    • Automatic feature engineering
    • Model explainability
    • Enterprise support

Which should you pick?

Choose EnergyCAP if

  • You need utility bill management.
  • You work on Web, Api.
  • You also want energy accounting.
EnergyCAP review

Choose H2O.ai if

  • You need automl.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want distributed computing.
H2O.ai review

Questions people ask

Is EnergyCAP or H2O.ai better?
Neither clearly leads. EnergyCAP starts at $1000/month and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, EnergyCAP or H2O.ai?
H2O.ai has a free tier; the other does not. Paid plans start at $1000/month for EnergyCAP and Free for H2O.ai.
Does EnergyCAP or H2O.ai run on more platforms?
EnergyCAP runs on Web, Api. H2O.ai runs on Web, Cloud.
Can I use H2O.ai for free?
Yes. H2O.ai has a free tier, so you can try it without paying. EnergyCAP starts at $1000/month.
What is EnergyCAP best used for?
EnergyCAP is most often used for tracking utility bills and energy consumption across a property portfolio, reporting on energy spend and emissions for an organisation. Of those, tracking utility bills and energy consumption across a property portfolio and reporting on energy spend and emissions for an organisation are not what H2O.ai is typically brought in for.
What can EnergyCAP do that H2O.ai cannot?
EnergyCAP covers Utility bill management, Energy accounting, Cost allocation, Sustainability reporting. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability.

Answered from the vendors’ own pages

EnergyCAP: What is EnergyCAP's pricing model?

EnergyCAP pricing is based per meter per year. The company allows customers to customize their package by adding premium features such as emissions tracking, interval data analytics, finance modules, bill capture, and bill pay services based on business needs.

Source
H2O.ai: Is H2O open source and free?

Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.

Source
EnergyCAP: How much does EnergyCAP cost?

EnergyCAP does not publish specific pricing amounts. Customers must contact sales for a customized quote based on their meter count and selected features.

Source
H2O.ai: How many companies use H2O's open source platform?

Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.

Source
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