Machine Learning · head to head
Alteryx vs H2O.ai

H2O.ai
Machine Learning
AI Cloud for building and deploying AI applications
- From
- Free
- Rated
- -
The short version
- Only H2O.ai has a free tier, so it costs nothing to try first.
- 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.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Alteryx and H2O.ai actually diverge.
Identical on both: user rating (Not yet rated), category (Machine Learning).
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
$250/month- Starter Edition$250/month
- 1-10 users
- 50 automation runs included
- Cloud only
- Professional Edition$null/month
- Basic and Full users
- 15,000 automation runs included
- Cloud and desktop deployment
- Enterprise Edition$null/month
- All user types
- 15,000 automation runs included
- All deployment options
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 work on Windows, Web.
- You also want data blending.
Choose H2O.ai if
- You need automl.
- You want to start without paying.
- You work on Web, Cloud.
- You also want distributed computing.
Questions people ask
- Is Alteryx or H2O.ai better?
- Neither clearly leads. Alteryx starts at $250/month 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?
- H2O.ai has a free tier; the other does not. Paid plans start at $250/month for Alteryx and Free for H2O.ai.
- Does Alteryx or H2O.ai run on more platforms?
- Alteryx runs on Windows, Web. 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. Alteryx starts at $250/month.
- 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
Alteryx: How much does Alteryx Starter cost?
Alteryx Starter Edition costs $250 USD per user per month when billed annually, for teams of 1-10 users.
SourceH2O.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.
SourceAlteryx: Is there a free trial for Alteryx?
Yes, Alteryx offers a 30-day free trial to evaluate the platform before committing to a paid plan.
SourceH2O.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.
SourceAlteryx: What differentiates Alteryx Professional from Starter?
Professional Edition supports both Basic and Full user roles, includes 15,000 automation runs, offers cloud and desktop deployment, connects to 100+ data sources, and enables advanced data preparation and macros. Professional and Enterprise editions require contacting sales for pricing.
SourceRelated pages
Other head to heads
- Alteryx vs Palantir Foundry
- Alteryx vs Azure Machine Learning
- Alteryx vs DataRobot
- Alteryx vs Google Vertex AI
- Alteryx vs AWS SageMaker
- Alteryx vs IBM SPSS
- Alteryx vs RapidMiner
- Alteryx vs SAS
- Alteryx vs Snowflake
- Alteryx vs KNIME
- Alteryx vs Databricks
- Alteryx vs Dataiku
- Alteryx vs LangChain
- Alteryx vs Pinecone
- Alteryx vs Python
- Alteryx vs PyTorch
- Alteryx vs scikit-learn
- Alteryx vs TensorFlow
- Alteryx vs Apache Spark MLlib
- Alteryx vs Domino Data Lab
- Alteryx vs Cohere
- Alteryx vs Ray
- Alteryx vs ClearML
- Alteryx vs Dask
- Alteryx vs Fal AI
- Alteryx vs Groq
- Alteryx vs Haystack
- H2O.ai vs Palantir Foundry
- H2O.ai vs Azure Machine Learning
- H2O.ai vs DataRobot
- H2O.ai vs Google Vertex AI
- H2O.ai vs AWS SageMaker
- H2O.ai vs IBM SPSS
- H2O.ai vs RapidMiner
- H2O.ai vs SAS
- H2O.ai vs Snowflake
- H2O.ai vs KNIME
- H2O.ai vs Databricks
- H2O.ai vs Dataiku
- H2O.ai vs LangChain
- H2O.ai vs Pinecone
- H2O.ai vs Python
- H2O.ai vs PyTorch
- H2O.ai vs scikit-learn
- H2O.ai vs TensorFlow
- H2O.ai vs Apache Spark MLlib
- H2O.ai vs Domino Data Lab
- H2O.ai vs Cohere
- H2O.ai vs Ray
- H2O.ai vs ClearML
- H2O.ai vs Dask
- H2O.ai vs Fal AI
- H2O.ai vs Groq
- H2O.ai vs Haystack

