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Spreadsheets · head to head

Equals vs JMP

Equals logo

Equals

Spreadsheets

A real spreadsheet with SQL result sets landing in its cells, now sold only on annual contracts starting at 24,000 USD

From
$24000/year
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: Equals the price list now starts at 24,000 USD a year with no monthly billing and no self-serve signup, having offered a free plan in 2023 and 39 USD per seat in 2024, so any team that evaluated it previously is looking at a different product commercially.; 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: Equals covers Connected sheets, JMP covers Custom design of experiments.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Equals and JMP actually diverge.

Attributes where Equals and JMP differ
AttributeEqualsJMP
Starting price$24000/yearFree
Pricing modelPer year by connector count and refresh frequencysubscription
Free tierNoYes
PlatformsWeb, APIMac, Windows
CategorySpreadsheetsMachine 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 Equals

  • Connected sheets
  • Real spreadsheet mechanics
  • Cell references into SQL
  • Equals Warehouse
  • Views
  • Writeback

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.

Equals

  • A revenue operations team that wants software metrics computed in a spreadsheet rather than defined in a BI semantic layernot JMP
  • Analysts who need a SQL result and manual assumptions in the same file, with the assumptions visible as cellsnot JMP
  • Joining Stripe, Salesforce and a production database without building a warehouse and pipeline firstnot JMP
  • Distributing a recurring numbers pack to Slack, email or a wall display without rebuilding it as a dashboardnot 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 Equals
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Equals
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Equals
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Equals

Where each one falls short

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

Equals

  • The price list now starts at 24,000 USD a year with no monthly billing and no self-serve signup, having offered a free plan in 2023 and 39 USD per seat in 2024, so any team that evaluated it previously is looking at a different product commercially.
  • Your data is copied out of your infrastructure by design, into a Snowflake warehouse that Equals operates, with Fivetran holding non-SQL source data in transit, and no self-hosted or bring-your-own-warehouse option is documented.
  • The financial function category contains only IRR, NPV and PMT, with no XIRR, XNPV, FV, PV, RATE or NPER, and there is no LAMBDA, LET, OFFSET or INDIRECT, so a substantial class of existing spreadsheet models cannot be ported without rework.
  • No documentation of importing or exporting Excel files exists anywhere in the docs index; the supported file sources are CSV and Google Sheets and the only documented export is dashboards as PDF, which is a notable gap for a product positioning itself as a successor to Excel.
  • Data freshness is a pricing lever rather than a setting, at six hours on Essential, one hour on Business and fifteen minutes on Enterprise, and the feature that removes row limits is itself gated above the entry tier, so the Essential row ceiling is neither published nor unlimited.

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

Equals

$24000/year
  • Essential$24000/year
    • Unlimited viewers and unlimited editors
    • 3 connectors
    • Data sync every 6 hours
  • Business$36000/year
    • Unlimited viewers and unlimited editors
    • 5 connectors or a warehouse connection
    • Data sync every hour
  • Enterprise$60000/year
    • Unlimited viewers and unlimited editors
    • Unlimited connectors or a warehouse connection
    • Data sync every 15 minutes
  • Connector add-ons$199/month
    • 199 USD per month for each additional database or import script connector
    • 699 USD per month for each additional connector of any other type
    • Available on Business and Enterprise

JMP

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

Which should you pick?

Choose Equals if

  • You need connected sheets.
  • You work on Web, API.
  • You also want real spreadsheet mechanics.
Equals 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 Equals or JMP better?
Neither clearly leads. Equals starts at $24000/year and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Equals or JMP?
JMP has a free tier; the other does not. Paid plans start at $24000/year for Equals and Free for JMP.
Does Equals or JMP run on more platforms?
Equals runs on Web, API. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Equals starts at $24000/year.
What is Equals best used for?
Equals is most often used for a revenue operations team that wants software metrics computed in a spreadsheet rather than defined in a bi semantic layer, analysts who need a sql result and manual assumptions in the same file, with the assumptions visible as cells, joining stripe, salesforce and a production database without building a warehouse and pipeline first, distributing a recurring numbers pack to slack, email or a wall display without rebuilding it as a dashboard. Of those, a revenue operations team that wants software metrics computed in a spreadsheet rather than defined in a bi semantic layer and analysts who need a sql result and manual assumptions in the same file, with the assumptions visible as cells are not what JMP is typically brought in for.
What can Equals do that JMP cannot?
Equals covers Connected sheets, Real spreadsheet mechanics, Cell references into SQL, Equals Warehouse. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

Equals: Is it a real spreadsheet or a modelling tool with a grid?

A real spreadsheet. A1 references, absolute reference locking, pivot tables and spilling array formulas all work, and SQL results land in ranges that ordinary cells reference.

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.

Equals: What does it actually cost?

24,000 USD a year for Essential, 36,000 for Business and 60,000 for Enterprise, billed annually. There is no monthly option and no self-serve signup; the trial is negotiated per customer.

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.

Equals: Are seats charged?

No. Viewers and editors are unlimited on every plan. The meters are connector count, refresh frequency and AI spend, with additional connectors at 199 or 699 USD a month.

JMP: Does it run on Linux?

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

Equals: Does my data stay in my own warehouse?

No. Connecting more than one source syncs data into a Snowflake warehouse that Equals runs, and non-SQL sources pass through Fivetran. There is no documented self-hosted option.

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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