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

MATLAB
Machine Learning & Data Science
Programming and numeric computing platform
- From
- $99/month
- Rated
- -
The short version
- Only Alteryx 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; MATLAB a standard individual licence is $940 a year, and it is annual rather than perpetual
- They diverge on capability: Alteryx covers Data preparation, MATLAB covers Matrix computations.
Where they differ
Only the attributes on which Alteryx and MATLAB actually diverge.
Identical on both: pricing model (subscription), 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
- R
- Snowflake
- AWS
Only in MATLAB
- Matrix computations
- Data visualization
- Machine learning
- Deep learning
- Signal processing
- Simulink
- C/C++
- Java
Both cover
- Python
- Windows 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 MATLAB
- Predictive analytics without writing codenot MATLAB
- Automating and orchestrating repeatable analytics workflowsnot MATLAB
- Enterprise reporting with governed, reusable logicnot MATLAB
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot MATLAB
MATLAB
- Numerical computing, simulation and algorithm developmentnot Alteryx
- Engineering and scientific modelling with Simulinknot 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
MATLAB
- A standard individual licence is $940 a year, and it is annual rather than perpetual
- Add on toolboxes are bought separately through the web store rather than being included
- No price is displayed for the academic, student, home or startup licences, each of which requires a quote
- Eligibility rather than price separates most tiers, so a commercial user has one option
Pricing, plan by plan
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
MATLAB
$99/month- Home$149/perpetual
- Personal use
- Core MATLAB
- Standard$2350/perpetual
- Commercial use
- Full features
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.
Choose MATLAB if
- You need matrix computations.
- You work on Linux, Mac, Windows.
- You also want data visualization.
Questions people ask
- Is Alteryx or MATLAB better?
- Neither clearly leads. Alteryx starts at Free and MATLAB at $99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Alteryx or MATLAB?
- Alteryx has a free tier; the other does not. Paid plans start at Free for Alteryx and $99/month for MATLAB.
- Does Alteryx or MATLAB run on more platforms?
- Alteryx runs on Windows, Web. MATLAB runs on Linux, Mac, Windows.
- Can I use Alteryx for free?
- Yes. Alteryx has a free tier, so you can try it without paying. MATLAB starts at $99/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 MATLAB is typically brought in for.
- What can Alteryx do that MATLAB cannot?
- Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. MATLAB covers Matrix computations, Data visualization, Machine learning, Deep learning. Both handle Python, Windows support.
Related pages
Other head to heads
- 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
- MATLAB vs AWS SageMaker
- MATLAB vs Google Vertex AI
- MATLAB vs Azure Machine Learning
- MATLAB vs DataRobot
- MATLAB vs Snowflake
- MATLAB vs TensorFlow
- MATLAB vs Comet ML
- MATLAB vs Keras
- MATLAB vs MLflow
- MATLAB vs Jupyter
- MATLAB vs PyTorch
- MATLAB vs scikit-learn
- MATLAB vs Apache Spark MLlib
- MATLAB vs Weights & Biases
- MATLAB vs Anaconda
- MATLAB vs Databricks
- MATLAB vs Dataiku
- MATLAB vs DVC

