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Business Intelligence · head to head

Google Data Studio vs JMP

Google Data Studio logo

Google Data Studio

Business Intelligence

Free data visualization by Google

From
Free
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

  • Each has a real cost: Google Data Studio limited to free offering with no paid tiers or premium features; 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: Google Data Studio covers Free Platform, 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 Google Data Studio and JMP actually diverge.

Attributes where Google Data Studio and JMP differ
AttributeGoogle Data StudioJMP
Pricing modelfreesubscription
PlatformsWebMac, Windows
CategoryBusiness IntelligenceMachine Learning
Founded19981976

Identical on both: starting price (Free), free tier (Yes), 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 Google Data Studio

  • Free Platform
  • Real-time Collaboration
  • Custom Visualizations
  • Data Blending
  • Sharing
  • Google Analytics
  • BigQuery
  • Google Sheets

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.

Google Data Studio

  • Self-service analyticsnot JMP
  • Data explorationnot JMP
  • Ad-hoc reportingnot JMP
  • Collaborative analysisnot JMP
  • Embedded analyticsnot 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 Google Data Studio
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Google Data Studio
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Google Data Studio
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Google Data Studio

Where each one falls short

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

Google Data Studio

  • Limited to free offering with no paid tiers or premium features
  • Advanced integrations may require Google Workspace subscriptions

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

Google Data Studio

Free
  • FreeFree
    • Unlimited Reports
    • Data Connectors
    • Collaboration

JMP

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

Which should you pick?

Choose Google Data Studio if

  • You need free platform.
  • You want to start without paying.
  • You also want real-time collaboration.
Google Data Studio 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 Google Data Studio or JMP better?
Neither clearly leads. Google Data Studio 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, Google Data Studio or JMP?
Google Data Studio starts at Free and JMP at Free.
Does Google Data Studio or JMP run on more platforms?
Google Data Studio runs on Web. JMP runs on Mac, Windows.
Can I use Google Data Studio for free?
Both have a free tier, so you can try either at no cost before committing.
What is Google Data Studio best used for?
Google Data Studio is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what JMP is typically brought in for.
What can Google Data Studio do that JMP cannot?
Google Data Studio covers Free Platform, Real-time Collaboration, Custom Visualizations, Data Blending. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

Google Data Studio: Is Google Data Studio free?

Yes, Google Data Studio is completely free to use. The platform states it is easy and free to build interactive dashboards and reports.

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.

Google Data Studio: Are there paid versions of Google Data Studio?

No, Google Data Studio does not offer paid tiers or premium plans. It remains free for all users.

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.

JMP: Does it run on Linux?

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

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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