Softwr

Machine Learning & Data Science · head to head

H2O.ai vs Alteryx

H2O.ai logo

H2O.ai

Machine Learning & Data Science

AI Cloud for building and deploying AI applications

From
Free
Rated
-
Full reviewWebsite
Alteryx logo

Alteryx

Machine Learning & Data Science

Analytics automation platform

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; Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
  • They diverge on capability: H2O.ai covers AutoML, Alteryx covers Data preparation.

Where they differ

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

Attributes where H2O.ai and Alteryx differ
AttributeH2O.aiAlteryx
Pricing modelfreemiumsubscription
PlatformsWeb, CloudWindows, Web
Founded20111997

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 H2O.ai

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

Only in Alteryx

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

Both cover

  • Python
  • R
  • 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 Alteryx
  • Training and productionising models from R or Python against a shared H2O clusternot Alteryx

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

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

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

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

Alteryx

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

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 Alteryx if

  • You need data preparation.
  • You want to start without paying.
  • You work on Windows, Web.
  • You also want data blending.
Alteryx review

Questions people ask

Is H2O.ai or Alteryx better?
Neither clearly leads. H2O.ai starts at Free and Alteryx at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, H2O.ai or Alteryx?
H2O.ai starts at Free and Alteryx at Free.
Does H2O.ai or Alteryx run on more platforms?
H2O.ai runs on Web, Cloud. Alteryx runs on 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 Alteryx is typically brought in for.
What can H2O.ai do that Alteryx cannot?
H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. 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
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on H2O.ai

More on Alteryx

Keep looking

Other head to heads