Machine Learning & Data Science · head to head
Weka vs Alteryx

Weka
Machine Learning & Data Science
Collection of machine learning algorithms
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution; Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- They diverge on capability: Weka covers Classification, Alteryx covers Data preparation.
Where they differ
Only the attributes on which Weka and Alteryx actually diverge.
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 Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- Linux support
- Mac support
Only in Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Snowflake
- AWS
- Tableau
Both cover
- R
- Python
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot Alteryx
- Running data mining experiments and preprocessing without writing codenot Alteryx
Alteryx
- Data preparation and building AI-ready datasetsnot Weka
- Predictive analytics without writing codenot Weka
- Automating and orchestrating repeatable analytics workflowsnot Weka
- Enterprise reporting with governed, reusable logicnot Weka
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Weka
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Weka
- The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
- Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture
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
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
Which should you pick?
Choose Weka if
- You need classification.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want regression.
Choose Alteryx if
- You need data preparation.
- You want to start without paying.
- You work on Windows, Web.
- You also want data blending.
Questions people ask
- Is Weka or Alteryx better?
- Neither clearly leads. Weka 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, Weka or Alteryx?
- Weka starts at Free and Alteryx at Free.
- Does Weka or Alteryx run on more platforms?
- Weka runs on Linux, Mac, Windows. Alteryx runs on Windows, Web.
- Can I use Weka for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Weka best used for?
- Weka is most often used for teaching and exploring classic machine learning algorithms through a gui, running data mining experiments and preprocessing without writing code. Of those, teaching and exploring classic machine learning algorithms through a gui and running data mining experiments and preprocessing without writing code are not what Alteryx is typically brought in for.
- What can Weka do that Alteryx cannot?
- Weka covers Classification, Regression, Clustering, Association rules. Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Both handle R, Python, Windows support.
Related pages
Other head to heads
- Weka vs AWS SageMaker
- Weka vs Google Vertex AI
- Weka vs Azure Machine Learning
- Weka vs DataRobot
- Weka vs Snowflake
- Weka vs TensorFlow
- Weka vs Comet ML
- Weka vs Keras
- Weka vs MLflow
- Weka vs Jupyter
- Weka vs PyTorch
- Weka vs scikit-learn
- Weka vs Apache Spark MLlib
- Weka vs Weights & Biases
- Weka vs Anaconda
- Weka vs Databricks
- Weka vs Dataiku
- Weka vs DVC
- Alteryx vs AWS SageMaker
- Alteryx vs Google Vertex AI
- Alteryx vs Azure Machine Learning
- Alteryx vs DataRobot
- Alteryx vs Snowflake
- Alteryx vs TensorFlow
- Alteryx vs Comet ML
- Alteryx vs Keras
- Alteryx vs MLflow
- Alteryx vs Jupyter
- Alteryx vs PyTorch
- Alteryx vs scikit-learn
- Alteryx vs Apache Spark MLlib
- Alteryx vs Weights & Biases
- Alteryx vs Anaconda
- Alteryx vs Databricks
- Alteryx vs Dataiku
- Alteryx vs DVC

