Software · head to head
Alteryx vs JMP
The short version
- Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
- They diverge on capability: Alteryx covers Data preparation, JMP covers Interactive statistics.
Where they differ
Only the attributes on which Alteryx and JMP actually diverge.
Identical on both: starting price (Free), pricing model (subscription), 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 Alteryx
- Data preparation
- Data blending
- Predictive analytics
- Spatial analytics
- Reporting
- Snowflake
- AWS
- Tableau
Only in JMP
- Interactive statistics
- Dynamic visualization
- Design of experiments
- Predictive modeling
- Quality control
- SAS
- MATLAB
- Excel
Both cover
- Python
- R
- 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 JMP
- Predictive analytics without writing codenot JMP
- Automating and orchestrating repeatable analytics workflowsnot JMP
- Enterprise reporting with governed, reusable logicnot JMP
- Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot JMP
JMP
- Machine learningnot Alteryx
- Data analysisnot Alteryx
- Model trainingnot Alteryx
- Predictive analyticsnot 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
JMP
- The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
Pricing, plan by plan
Alteryx
Free- TrialFree
- 14-day trial
- Full features
- Designer Desktop$5195/year
- Data prep
- Blending
- Analytics
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard 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 JMP if
- You need interactive statistics.
- You want to start without paying.
- You work on Mac, Windows.
- You also want dynamic visualization.
Questions people ask
- Is Alteryx or JMP better?
- Neither clearly leads. Alteryx starts at Free and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Alteryx or JMP?
- Alteryx starts at Free and JMP at Free.
- Does Alteryx or JMP run on more platforms?
- Alteryx runs on Windows, Web. JMP runs on Mac, Windows.
- Can I use Alteryx for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 JMP is typically brought in for.
- What can Alteryx do that JMP cannot?
- Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling. Both handle Python, R, Windows support.
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