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Machine Learning & Data Science · head to head

Alteryx vs H2O.ai

Alteryx logo

Alteryx

Machine Learning & Data Science

Analytics automation platform

From
Free
Rated
-
Full reviewWebsite
H2O.ai logo

H2O.ai

Machine Learning & Data Science

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; 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: Alteryx covers Data preparation, H2O.ai covers AutoML.

Where they differ

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

Attributes where Alteryx and H2O.ai differ
AttributeAlteryxH2O.ai
Pricing modelsubscriptionfreemium
PlatformsWindows, WebWeb, Cloud
Founded19972011

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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 Alteryx

  • Data preparation
  • Data blending
  • Predictive analytics
  • Spatial analytics
  • Reporting
  • Snowflake
  • AWS
  • Tableau

Only in H2O.ai

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

Both cover

  • Python
  • R
  • Windows support
  • Web support

What people use each for

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

Alteryx

  • Data preparation and building AI-ready datasetsnot H2O.ai
  • Predictive analytics without writing codenot H2O.ai
  • Automating and orchestrating repeatable analytics workflowsnot H2O.ai
  • Enterprise reporting with governed, reusable logicnot H2O.ai
  • Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot H2O.ai

H2O.ai

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

Where each one falls short

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

Alteryx

  • Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
  • Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
  • Cost depends on three separate dimensions at once: edition, user role and automation capacity
  • Advanced analytics, governance and orchestration are withheld from the entry edition

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

Alteryx

Free
  • TrialFree
    • 14-day trial
    • Full features
  • Designer Desktop$5195/year
    • Data prep
    • Blending
    • Analytics

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 Alteryx if

  • You need data preparation.
  • You want to start without paying.
  • You work on Windows, Web.
  • You also want data blending.
Alteryx 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 Alteryx or H2O.ai better?
Neither clearly leads. Alteryx starts at Free and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Alteryx or H2O.ai?
Alteryx starts at Free and H2O.ai at Free.
Does Alteryx or H2O.ai run on more platforms?
Alteryx runs on Windows, Web. H2O.ai runs on Web, Cloud.
Can I use Alteryx for free?
Both have a free tier, so you can try either at no cost before committing.
What is Alteryx best used for?
Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what H2O.ai is typically brought in for.
What can Alteryx do that H2O.ai cannot?
Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Both handle Python, R, Windows support, Web 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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