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Software · head to head

Ollama vs JMP

Ollama logo

Ollama

Software

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

From
Free
Rated
-
Full reviewWebsite
JMP logo

JMP

Software

Statistical discovery software from SAS

From
Free
Rated
-
Full reviewWebsite

The short version

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

Where they differ

Only the attributes on which Ollama and JMP actually diverge.

Attributes where Ollama and JMP differ
AttributeOllamaJMP
Pricing modelopen-sourcesubscription
PlatformsmacOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted)Mac, Windows
FoundedUnknown1976

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 Ollama

Nothing recorded that JMP does not also cover.

Only in JMP

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

What people use each for

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

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

JMP

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

Where each one falls short

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

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

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.

Pricing, plan by plan

Ollama

Free

No published plan breakdown. See the Ollama review.

JMP

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

Which should you pick?

Choose Ollama if

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

Choose JMP if

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

Questions people ask

Is Ollama or JMP better?
Neither clearly leads. Ollama 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, Ollama or JMP?
Ollama starts at Free and JMP at Free.
Does Ollama or JMP run on more platforms?
Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted). JMP runs on Mac, Windows.
Can I use Ollama for free?
Both have a free tier, so you can try either at no cost before committing.
What is Ollama best used for?
Ollama is most often used for local development and testing without api costs or rate limits, privacy-sensitive applications requiring data to remain on-device, cost-sensitive deployments where computational resources are already available, fully offline environments or air-gapped networks. Of those, local development and testing without api costs or rate limits and privacy-sensitive applications requiring data to remain on-device are not what JMP is typically brought in for.
What can Ollama do that JMP cannot?
JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling.
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