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Machine Learning · head to head

JMP vs Oracle Analytics Cloud

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
Oracle Analytics Cloud logo

Oracle Analytics Cloud

Business Intelligence

Complete analytics in the cloud

From
$16/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.; Oracle Analytics Cloud no dedicated mobile application for on-the-go access
  • They diverge on capability: JMP covers Custom design of experiments, Oracle Analytics Cloud covers Self-service Analytics.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and Oracle Analytics Cloud actually diverge.

Attributes where JMP and Oracle Analytics Cloud differ
AttributeJMPOracle Analytics Cloud
Starting priceFree$16/month
Free tierYesNo
PlatformsMac, WindowsWeb
CategoryMachine LearningBusiness Intelligence
Founded19762016

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 Oracle Analytics Cloud

  • Self-service Analytics
  • Augmented Analytics
  • Data Preparation
  • Natural Language
  • Mobile
  • Oracle Database
  • Oracle ERP
  • Salesforce

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

Oracle Analytics Cloud

  • Self-service analyticsnot JMP
  • Data explorationnot JMP
  • Ad-hoc reportingnot JMP
  • Collaborative analysisnot JMP
  • Embedded analyticsnot 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.

Oracle Analytics Cloud

  • No dedicated mobile application for on-the-go access
  • Limited documentation for collecting data from on-premise services
  • Performance issues and occasional software glitches requiring re-login
  • Expensive for small businesses and organizations with limited budgets

Pricing, plan by plan

JMP

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

Oracle Analytics Cloud

$16/month
  • Professional$16/month
    • Self-service Analytics
    • Reporting
    • Dashboards
  • Enterprise$80/month
    • Advanced Analytics
    • ML Models
    • Premium Support

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 Oracle Analytics Cloud if

  • You need self-service analytics.
  • You also want augmented analytics.
Oracle Analytics Cloud review

Questions people ask

Is JMP or Oracle Analytics Cloud better?
Neither clearly leads. JMP starts at Free and Oracle Analytics Cloud at $16/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Oracle Analytics Cloud?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and $16/month for Oracle Analytics Cloud.
Does JMP or Oracle Analytics Cloud run on more platforms?
JMP runs on Mac, Windows. Oracle Analytics Cloud runs on Web.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Oracle Analytics Cloud starts at $16/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 Oracle Analytics Cloud is typically brought in for.
What can JMP do that Oracle Analytics Cloud cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Oracle Analytics Cloud covers Self-service Analytics, Augmented Analytics, Data Preparation, Natural Language.

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.

Oracle Analytics Cloud: What data sources does Oracle Analytics Cloud support?

Oracle Analytics Cloud connects to relational databases, cloud applications, and big data platforms. It integrates with Salesforce, Snowflake, Azure Synapse Analytics, Google BigQuery, Amazon Redshift, and the Oracle ecosystem.

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.

Oracle Analytics Cloud: What are the pricing tiers for Oracle Analytics Cloud?

Oracle Analytics Cloud offers a Professional plan at $16/user/month and an Enterprise plan at $80/user/month. BYOL pricing is $0.3226/OCPU/hour base plus $1.0753/hour (Professional) or $2.1506/hour (Enterprise).

Source
JMP: Does it run on Linux?

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

Oracle Analytics Cloud: Does Oracle Analytics Cloud have a mobile app?

No, Oracle Analytics Cloud lacks a dedicated mobile application, which is considered a significant limitation by users who need mobile access to dashboards and reports.

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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