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Software · head to head

H2O.ai vs Minitab

H2O.ai logo

H2O.ai

Software

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Full reviewWebsite
Minitab logo

Minitab

Software

Statistical software for quality improvement

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: 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; Minitab pricing is by quote only: the pricing page is an inquiry form and publishes no rate, no seat price and no minimum
  • They diverge on capability: H2O.ai covers AutoML, Minitab covers Statistical analysis.

Where they differ

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

Attributes where H2O.ai and Minitab differ
AttributeH2O.aiMinitab
Pricing modelfreemiumsubscription
PlatformsWeb, CloudMac, Windows, Web
Founded20111972

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

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 H2O.ai

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

Only in Minitab

  • Statistical analysis
  • Quality tools
  • Regression analysis
  • Control charts
  • Design of experiments
  • Excel

Both cover

  • Python
  • R
  • Mac support
  • Windows support
  • Web support

What people use each for

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

H2O.ai

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

Minitab

  • Statistical analysis and hypothesis testing for quality engineeringnot H2O.ai
  • Six Sigma and process improvement studies with control chartsnot H2O.ai
  • Design of experiments and capability analysisnot H2O.ai

Where each one falls short

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

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

Minitab

  • Pricing is by quote only: the pricing page is an inquiry form and publishes no rate, no seat price and no minimum
  • Obtaining a price requires submitting contact details and waiting for a sales representative

Pricing, plan by plan

H2O.ai

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

Minitab

Free
  • TrialFree
    • 7-day trial
    • Full features
  • Single User$29/month
    • Full Minitab
    • All features

Which should you pick?

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

Choose Minitab if

  • You need statistical analysis.
  • You want to start without paying.
  • You work on Mac, Windows, Web.
  • You also want quality tools.
Minitab review

Questions people ask

Is H2O.ai or Minitab better?
Neither clearly leads. H2O.ai starts at Free and Minitab at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, H2O.ai or Minitab?
H2O.ai starts at Free and Minitab at Free.
Does H2O.ai or Minitab run on more platforms?
H2O.ai runs on Web, Cloud. Minitab runs on Mac, Windows, Web.
Can I use H2O.ai for free?
Both have a free tier, so you can try either at no cost before committing.
What is H2O.ai best used for?
H2O.ai is most often used for distributed in-memory machine learning over large datasets, training and productionising models from r or python against a shared h2o cluster. Of those, distributed in-memory machine learning over large datasets and training and productionising models from r or python against a shared h2o cluster are not what Minitab is typically brought in for.
What can H2O.ai do that Minitab cannot?
H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Minitab covers Statistical analysis, Quality tools, Regression analysis, Control charts. Both handle Python, R, Mac support, Windows support.

Answered from the vendors’ own pages

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
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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Related pages

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