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Business Intelligence · head to head

Amazon QuickSight vs JMP

Amazon QuickSight logo

Amazon QuickSight

Business Intelligence

Scalable, serverless BI by AWS

From
$3/month
Rated
-
Full reviewWebsite
JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: Amazon QuickSight reader and Reader Pro roles charged separately at $3 and $20/month; JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • They diverge on capability: Amazon QuickSight covers SPICE In-memory Engine, JMP covers Custom design of experiments.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Amazon QuickSight and JMP actually diverge.

Attributes where Amazon QuickSight and JMP differ
AttributeAmazon QuickSightJMP
Starting price$3/monthFree
Pricing modelper-usersubscription
Free tierNoYes
PlatformsAWSMac, Windows
CategoryBusiness IntelligenceMachine Learning
Founded20061976

Identical on both: user rating (Not yet rated).

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 Amazon QuickSight

  • SPICE In-memory Engine
  • ML Insights
  • Natural Language Queries
  • Embedded Analytics
  • Pay-per-session
  • Redshift
  • S3
  • Athena

Only in JMP

  • Custom design of experiments
  • Linked interactive graphics
  • Analysis platforms
  • Quality and process tools
  • Graph Builder
  • JSL scripting
  • Scoring code export
  • Predictive modelling in JMP Pro

What people use each for

The jobs each tool is most often brought in to do.

Amazon QuickSight

  • Business intelligencenot JMP
  • Dashboard creationnot JMP
  • Data visualizationnot JMP

JMP

  • Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot Amazon QuickSight
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Amazon QuickSight
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Amazon QuickSight
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Amazon QuickSight

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Amazon QuickSight

  • Reader and Reader Pro roles charged separately at $3 and $20/month
  • Author and Author Pro roles charged at $24 and $40/month
  • $250/month infrastructure fee required if Pro users or Q&A enabled
  • SPICE storage charged at $0.38/GB monthly (10 GB included)
  • Pixel-perfect reports start at $500/month for 500 monthly units
  • Alerts charged at $0.05-$0.50 per 1,000 metrics evaluated

JMP

  • It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
  • The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
  • JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
  • Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.

Pricing, plan by plan

Amazon QuickSight

$3/month
  • Reader$3/month
    • Dashboard viewing only
  • Reader Pro$20/month
    • Enhanced reader capabilities
  • Author$24/month
    • Dashboard creation and editing
  • Author Pro$40/month
    • Advanced authoring features

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

Which should you pick?

Choose Amazon QuickSight if

  • You need spice in-memory engine.
  • You work on AWS.
  • You also want ml insights.
Amazon QuickSight review

Choose JMP if

  • You need custom design of experiments.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want linked interactive graphics.
JMP review

Questions people ask

Is Amazon QuickSight or JMP better?
Neither clearly leads. Amazon QuickSight starts at $3/month and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon QuickSight or JMP?
JMP has a free tier; the other does not. Paid plans start at $3/month for Amazon QuickSight and Free for JMP.
Does Amazon QuickSight or JMP run on more platforms?
Amazon QuickSight runs on AWS. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Amazon QuickSight starts at $3/month.
What is Amazon QuickSight best used for?
Amazon QuickSight is most often used for business intelligence, dashboard creation, data visualization. Of those, business intelligence and dashboard creation are not what JMP is typically brought in for.
What can Amazon QuickSight do that JMP cannot?
Amazon QuickSight covers SPICE In-memory Engine, ML Insights, Natural Language Queries, Embedded Analytics. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

Amazon QuickSight: What does Amazon QuickSight cost per user?

QuickSight pricing varies by user role. Readers start at $3/month, Reader Pro at $20/month, Authors at $24/month, and Author Pro at $40/month. All prices are per user per month.

Source
JMP: Is JMP the same thing as SAS?

No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.

Amazon QuickSight: Does QuickSight charge an infrastructure fee?

Yes, QuickSight charges an infrastructure fee of $250/month per account if the account has at least one Pro user, has Q&A enabled via topics, or has dashboard Q&A enabled.

Source
JMP: Do I need JMP Pro?

If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.

Amazon QuickSight: What are QuickSight's session capacity pricing options?

Session capacity pricing starts at $250/month for 500 sessions. Annual plans range from $20,000/year for 50,000 sessions to $258,000/year for 1,600,000 sessions, with volume discounts reducing unit costs from $0.50 to $0.16 per additional session.

Source
JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

Amazon QuickSight: How much does additional SPICE storage cost?

Additional SPICE storage beyond the included 10 GB costs $0.38 per GB per month. Authors receive 10 GB included, but Readers do not.

Source
JMP: Can I put a JMP model into production?

Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.

JMP: Who actually uses it?

Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.

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