Software · head to head
Jupyter vs Alteryx
Jupyter
Software
Interactive computing across all programming languages
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Jupyter notebook format makes version control and collaboration difficult with multiple contributors; Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
- They diverge on capability: Jupyter covers Interactive notebooks, Alteryx covers Data preparation.
Where they differ
Only the attributes on which Jupyter and Alteryx actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Jupyter
- Interactive notebooks
- Live code execution
- Rich visualizations
- Markdown documentation
- Multi-language kernels
- Julia
- Scala
- 40+ languages
Only in Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Snowflake
- AWS
- Tableau
Both cover
- Python
- R
- Web support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Jupyter
- Machine learningnot Alteryx
- Data analysisnot Alteryx
- Model trainingnot Alteryx
- Predictive analyticsnot Alteryx
Alteryx
- Data preparation and building AI-ready datasetsnot Jupyter
- Predictive analytics without writing codenot Jupyter
- Automating and orchestrating repeatable analytics workflowsnot Jupyter
- Enterprise reporting with governed, reusable logicnot Jupyter
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Jupyter
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Jupyter
- Notebook format makes version control and collaboration difficult with multiple contributors
- Performance degrades with large datasets due to loading entire dataset into memory
- Debugging capabilities limited compared to traditional IDEs
- No paid support or commercial backing
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
Jupyter
FreeNo published plan breakdown. See the Jupyter review.
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
Which should you pick?
Choose Jupyter if
- You need interactive notebooks.
- You want to start without paying.
- You work on Web, Cross-platform, Linux, macOS, Windows.
- You also want live code execution.
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 Jupyter or Alteryx better?
- Neither clearly leads. Jupyter 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, Jupyter or Alteryx?
- Jupyter starts at Free and Alteryx at Free.
- Does Jupyter or Alteryx run on more platforms?
- Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. Alteryx runs on Windows, Web.
- Can I use Jupyter for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Jupyter best used for?
- Jupyter is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Alteryx is typically brought in for.
- What can Jupyter do that Alteryx cannot?
- Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Both handle Python, R, Web support, Windows support.
Answered from the vendors’ own pages
Jupyter: Is Jupyter free to use?
Yes, Jupyter is completely free and open-source under the BSD license. There are no paid plans or commercial support requirements.
SourceJupyter: What programming languages does Jupyter support?
Jupyter supports Python plus over 40 additional programming languages including R, Julia, Scala, and many others through different kernels.
SourceJupyter: What is JupyterLab?
JupyterLab is the successor to classic Jupyter Notebook, adding a file browser, multiple tabs, terminal access, and an extension ecosystem for enhanced functionality.
Source