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Machine Learning · head to head

JMP vs Logi Analytics

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
Logi Analytics logo

Logi Analytics

Business Intelligence

Embedded analytics for developers

From
$800/month
Rated
-
Full reviewWebsite

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Logi Analytics no pricing information published on website; quote-based model requires completing request form
  • They diverge on capability: JMP covers Custom design of experiments, Logi Analytics covers Low-code Embedding.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and Logi Analytics actually diverge.

Attributes where JMP and Logi Analytics differ
AttributeJMPLogi Analytics
Starting priceFree$800/month
Free tierYesNo
PlatformsMac, WindowsWeb
CategoryMachine LearningBusiness Intelligence
Founded19762003

Identical on both: pricing model (subscription), 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 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

Only in Logi Analytics

  • Low-code Embedding
  • Self-service Analytics
  • Data Connectors
  • Custom Branding
  • Multi-tenancy
  • SQL Server
  • PostgreSQL
  • MySQL

What people use each for

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

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 Logi Analytics
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Logi Analytics
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Logi Analytics
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Logi Analytics

Logi Analytics

  • Embedded analytics and data visualization for software applicationsnot JMP
  • Custom business intelligence application development with low-code platformnot JMP

Where each one falls short

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

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.

Logi Analytics

  • No pricing information published on website; quote-based model requires completing request form

Pricing, plan by plan

JMP

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

Logi Analytics

$800/month
  • Team$800/month
    • Embedded Dashboards
    • Self-service
    • APIs
  • EnterpriseFree
    • Full Platform
    • Multi-tenant
    • Custom Development

Which should you pick?

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

Choose Logi Analytics if

  • You need low-code embedding.
  • You also want self-service analytics.
Logi Analytics review

Questions people ask

Is JMP or Logi Analytics better?
Neither clearly leads. JMP starts at Free and Logi Analytics at $800/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Logi Analytics?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and $800/month for Logi Analytics.
Does JMP or Logi Analytics run on more platforms?
JMP runs on Mac, Windows. Logi Analytics runs on Web.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Logi Analytics starts at $800/month.
What is JMP best used for?
JMP is most often used for 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 have, process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator, exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheet, semiconductor, chemical and pharmaceutical development groups where jmp is already the shared language for reporting results. Of those, 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 have and process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator are not what Logi Analytics is typically brought in for.
What can JMP do that Logi Analytics cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Logi Analytics covers Low-code Embedding, Self-service Analytics, Data Connectors, Custom Branding.

Answered from the vendors’ own pages

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.

Logi Analytics: How much does Logi Analytics cost?

Logi Analytics does not publish pricing on its website. The platform uses a quote-based pricing model where prospective customers must fill out a request form on their website to speak with a sales expert about customized pricing based on their specific needs.

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.

Logi Analytics: What Logi Analytics products are available?

Logi Analytics offers four main products: Logi Composer for customizable dashboards, Logi Report for pixel-perfect reporting, Logi Info as a full SaaS analytics application, and Logi Symphony as a comprehensive analytics suite.

Source
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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