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Machine Learning & Data Science · head to head

JMP vs Ollama

JMP logo

JMP

Machine Learning & Data Science

Statistical discovery software from SAS

From
Free
Rated
-
Ollama logo

Ollama

Machine Learning & Data Science

Open-source tool for running LLMs locally on desktop and servers

From
Free
Rated
-

The short version

  • Each has a real cost: 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.; Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines

Where they differ

Only the attributes on which JMP and Ollama actually diverge.

Attributes where JMP and Ollama differ
AttributeJMPOllama
Pricing modelsubscriptionopen-source
PlatformsMac, WindowsmacOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted)
Founded1976Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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

  • Interactive statistics
  • Dynamic visualization
  • Design of experiments
  • Predictive modeling
  • Quality control
  • SAS
  • Python
  • R

Only in Ollama

Nothing recorded that JMP does not also cover.

What people use each for

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

JMP

  • Machine learningnot Ollama
  • Data analysisnot Ollama
  • Model trainingnot Ollama
  • Predictive analyticsnot Ollama

Ollama

  • Local development and testing without API costs or rate limitsnot JMP
  • Privacy-sensitive applications requiring data to remain on-devicenot JMP
  • Cost-sensitive deployments where computational resources are already availablenot JMP
  • Fully offline environments or air-gapped networksnot JMP

Where each one falls short

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

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.

Ollama

  • Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
  • No hosted service option for inference; all computational burden falls to user
  • Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
  • Performance depends entirely on user's hardware; no SLAs or guarantees on speed

Pricing, plan by plan

JMP

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

Ollama

Free

No published plan breakdown. See the Ollama review.

Which should you pick?

Choose JMP if

  • You need interactive statistics.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want dynamic visualization.

Choose Ollama if

  • You want to start without paying.
  • You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).

Questions people ask

Is JMP or Ollama better?
Neither clearly leads. JMP starts at Free and Ollama at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Ollama?
JMP starts at Free and Ollama at Free.
Does JMP or Ollama run on more platforms?
JMP runs on Mac, Windows. Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Can I use JMP for free?
Both have a free tier, so you can try either at no cost before committing.
What is JMP best used for?
JMP is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Ollama is typically brought in for.
What can JMP do that Ollama cannot?
JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling.

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