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Business Intelligence · head to head

Evidence vs JMP

Evidence logo

Evidence

Business Intelligence

Business intelligence as code for teams and AI agents

From
$2500/month
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

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: Evidence high starting price at $2,500/month limits small team adoption; 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: Evidence covers Analytics Agent, 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 Evidence and JMP actually diverge.

Attributes where Evidence and JMP differ
AttributeEvidenceJMP
Starting price$2500/monthFree
Pricing modelFlat team pricing with no per-user feessubscription
Free tierNoYes
PlatformsCloud, EmbeddedMac, Windows
CategoryBusiness IntelligenceMachine Learning
FoundedUnknown1976

Identical on both: 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 Evidence

  • Analytics Agent
  • Code-based infrastructure
  • Development environment
  • Visualization tools
  • Embedded analytics
  • Enterprise security
  • Multi-channel access

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.

Evidence

  • Building version-controlled analytics infrastructurenot JMP
  • Enabling AI agents to answer business questionsnot JMP
  • Delivering analytics through multiple channels (web, Slack, ChatGPT)not JMP
  • Embedding white-labeled analytics in productsnot 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 Evidence
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Evidence
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Evidence
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Evidence

Where each one falls short

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

Evidence

  • High starting price at $2,500/month limits small team adoption
  • No freemium option for evaluation or learning
  • Code-based approach has steeper learning curve than visual tools
  • AI credits limited on Team plan; additional credits cost extra
  • Requires Git workflow familiarity for effective collaboration

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

Evidence

$2500/month
  • Team$2500/month
    • Unlimited users
    • Monthly billing
    • Analytics Agent
  • Enterprise$null/custom
    • All Team features
    • SSO/SAML authentication
    • SCIM directory sync

JMP

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

Which should you pick?

Choose Evidence if

  • You need analytics agent.
  • You work on Cloud, Embedded.
  • You also want code-based infrastructure.
Evidence 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 Evidence or JMP better?
Neither clearly leads. Evidence starts at $2500/month and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Evidence or JMP?
JMP has a free tier; the other does not. Paid plans start at $2500/month for Evidence and Free for JMP.
Does Evidence or JMP run on more platforms?
Evidence runs on Cloud, Embedded. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Evidence starts at $2500/month.
What is Evidence best used for?
Evidence is most often used for building version-controlled analytics infrastructure, enabling ai agents to answer business questions, delivering analytics through multiple channels (web, slack, chatgpt), embedding white-labeled analytics in products. Of those, building version-controlled analytics infrastructure and enabling ai agents to answer business questions are not what JMP is typically brought in for.
What can Evidence do that JMP cannot?
Evidence covers Analytics Agent, Code-based infrastructure, Development environment, Visualization tools. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

Evidence: Does Evidence have per-user pricing?

No, Evidence offers one flat price for unlimited users at $2,500/month on the Team plan with a 30-day free trial.

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.

Evidence: How many AI credits come with Team plan?

Team plan includes 20,000 AI credits monthly at $0.01 per additional credit. Enterprise offers custom credit packages.

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.

Evidence: What is included in the Enterprise plan?

Enterprise adds SSO/SAML, SCIM directory sync, row-level access rules, embedding capabilities, and custom deployment options at custom pricing.

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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