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Machine Learning · head to head

JMP vs Periscope Data

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite
Periscope Data logo

Periscope Data

Business Intelligence

SQL and Python analytics platform

From
$1000/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.; Periscope Data the periscopedata.com domain now redirects to sisense.com, so Periscope Data is no longer sold as a standalone product
  • They diverge on capability: JMP covers Custom design of experiments, Periscope Data covers SQL Editor.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which JMP and Periscope Data actually diverge.

Attributes where JMP and Periscope Data differ
AttributeJMPPeriscope Data
Starting priceFree$1000/month
Free tierYesNo
PlatformsMac, WindowsWeb, Cloud
CategoryMachine LearningBusiness Intelligence
Founded19762012

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 Periscope Data

  • SQL Editor
  • Python/R Integration
  • Version Control
  • Caching
  • Dashboards
  • Redshift
  • BigQuery
  • Snowflake

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

Periscope Data

  • SQL-based analytics and dashboards over a data warehousenot JMP
  • Python and R analysis alongside SQL in one workflownot JMP
  • Shared dashboards for data teamsnot 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.

Periscope Data

  • The periscopedata.com domain now redirects to sisense.com, so Periscope Data is no longer sold as a standalone product
  • No Periscope Data pricing, plan or seat rate remains published at the original domain
  • Buyers must now purchase through Sisense, whose own pricing is not published as a rate card

Pricing, plan by plan

JMP

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

Periscope Data

$1000/month
  • Team$1000/month
    • SQL Analytics
    • Python/R
    • Dashboards
  • EnterpriseFree
    • Advanced Features
    • Custom Integrations
    • 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 Periscope Data if

  • You need sql editor.
  • You work on Web, Cloud.
  • You also want python/r integration.
Periscope Data review

Questions people ask

Is JMP or Periscope Data better?
Neither clearly leads. JMP starts at Free and Periscope Data at $1000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Periscope Data?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and $1000/month for Periscope Data.
Does JMP or Periscope Data run on more platforms?
JMP runs on Mac, Windows. Periscope Data runs on Web, Cloud.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Periscope Data starts at $1000/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 Periscope Data is typically brought in for.
What can JMP do that Periscope Data cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Periscope Data covers SQL Editor, Python/R Integration, Version Control, Caching.

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.

Periscope Data: Does Sisense offer a free trial?

Yes. Sisense offers a free trial of their Self-Serve plan. You can try features like data warehouse connectivity, built-in AI for natural-language queries, auto-narratives, and customer assistant features.

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.

Periscope Data: What is the difference between Sisense Self-Serve and Enterprise plans?

The Self-Serve plan is for startups and teams and includes basic connectivity and AI features with iframe embedding. The Enterprise plan is for regulated industries and includes multi-tenant architecture, HIPAA readiness, column-level security, single sign-on, on-premise deployment options, 99.99% SLA, and 30-day backups.

Source
JMP: Does it run on Linux?

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

Periscope Data: How do I access the Sisense Enterprise plan?

The Enterprise plan requires contacting Sisense for a demo and custom quote. There is no self-service signup for this tier.

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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