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Business Intelligence · head to head

Grow vs JMP

Grow logo

Grow

Business Intelligence

No-code BI for growing companies

From
$500/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: Grow the pricing URL serves marketing content with no plan, rate, minimum or cost driver published anywhere on it; 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: Grow covers No-code Setup, 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 Grow and JMP actually diverge.

Attributes where Grow and JMP differ
AttributeGrowJMP
Starting price$500/monthFree
Free tierNoYes
PlatformsWeb, Mobile, TvMac, Windows
CategoryBusiness IntelligenceMachine Learning
Founded20141976

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 Grow

  • No-code Setup
  • Unlimited Dashboards
  • Data Blending
  • Alerts
  • Embedding
  • Salesforce
  • HubSpot
  • QuickBooks

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.

Grow

  • No-code dashboards and business intelligence for teams without analystsnot JMP
  • Blending data from more than 100 sources including BigQuery, PostgreSQL, Salesforce and HubSpotnot JMP
  • ETL, warehousing and visualisation in a single platformnot 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 Grow
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Grow
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Grow
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Grow

Where each one falls short

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

Grow

  • The pricing URL serves marketing content with no plan, rate, minimum or cost driver published anywhere on it
  • The only calls to action are Get Started Now and Watch Demo; there is no self-serve rate card
  • The vendor advertises unlimited users with no per-seat charges, which means the price driver is not disclosed at all

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

Grow

$500/month
  • Starter$500/month
    • Unlimited Users
    • 75+ Integrations
    • Support
  • Pro$1000/month
    • Advanced Features
    • Custom Integrations
    • Training

JMP

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

Which should you pick?

Choose Grow if

  • You need no-code setup.
  • You work on Web, Mobile, Tv.
  • You also want unlimited dashboards.
Grow 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 Grow or JMP better?
Neither clearly leads. Grow starts at $500/month and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Grow or JMP?
JMP has a free tier; the other does not. Paid plans start at $500/month for Grow and Free for JMP.
Does Grow or JMP run on more platforms?
Grow runs on Web, Mobile, Tv. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Grow starts at $500/month.
What is Grow best used for?
Grow is most often used for no-code dashboards and business intelligence for teams without analysts, blending data from more than 100 sources including bigquery, postgresql, salesforce and hubspot, etl, warehousing and visualisation in a single platform. Of those, no-code dashboards and business intelligence for teams without analysts and blending data from more than 100 sources including bigquery, postgresql, salesforce and hubspot are not what JMP is typically brought in for.
What can Grow do that JMP cannot?
Grow covers No-code Setup, Unlimited Dashboards, Data Blending, Alerts. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

Grow: How much does Grow cost?

Grow does not publish pricing on their website. They offer a request-a-free-trial model that requires contacting their sales team. Pricing is determined by contacting sales through their contact form or trial request process.

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.

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.

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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