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Business Intelligence · head to head

ChartMogul vs JMP

ChartMogul logo

ChartMogul

Business Intelligence

Subscription analytics platform

From
Free
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

  • Each has a real cost: ChartMogul the free tier stops at $10K MRR, so it lapses precisely as a company starts to matter; 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: ChartMogul covers MRR Analytics, 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 ChartMogul and JMP actually diverge.

Attributes where ChartMogul and JMP differ
AttributeChartMogulJMP
PlatformsWeb, ApiMac, Windows
CategoryBusiness IntelligenceMachine Learning
Founded20141976

Identical on both: starting price (Free), pricing model (subscription), free tier (Yes), 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 ChartMogul

  • MRR Analytics
  • Churn Analysis
  • Cohort Analysis
  • Customer Segmentation
  • Revenue Recognition
  • Stripe
  • Chargebee
  • Recurly

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.

ChartMogul

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

Where each one falls short

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

ChartMogul

  • The free tier stops at $10K MRR, so it lapses precisely as a company starts to matter
  • Starter is capped at 3 team members and a single billing system connection
  • Two-way CRM sync and warehouse integration require the Pro tier
  • Pricing scales with your ARR rather than with usage, so the bill rises as the business grows
  • Enterprise starts at $19,900 a year and is required above $10M ARR

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

ChartMogul

Free
  • FreeFree
    • Up to $120K ARR tracked
    • 1 billing source
    • Unlimited team members
  • Starter$59/month
    • $59-$707/month based on ARR
    • Up to $10M ARR tracked
    • 1 billing source
  • Pro$99/month
    • $99-$1,199/month based on ARR
    • Up to $10M ARR tracked
    • 5 billing sources
  • Enterprise$19900/year
    • Custom pricing available
    • Unlimited ARR tracked
    • 15 billing sources

JMP

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

Which should you pick?

Choose ChartMogul if

  • You need mrr analytics.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want churn analysis.
ChartMogul 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 ChartMogul or JMP better?
Neither clearly leads. ChartMogul 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, ChartMogul or JMP?
ChartMogul starts at Free and JMP at Free.
Does ChartMogul or JMP run on more platforms?
ChartMogul runs on Web, Api. JMP runs on Mac, Windows.
Can I use ChartMogul for free?
Both have a free tier, so you can try either at no cost before committing.
What is ChartMogul best used for?
ChartMogul is most often used for mrr tracking, churn analysis, revenue analytics, subscription metrics. Of those, mrr tracking and churn analysis are not what JMP is typically brought in for.
What can ChartMogul do that JMP cannot?
ChartMogul covers MRR Analytics, Churn Analysis, Cohort Analysis, Customer Segmentation. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

ChartMogul: How much does ChartMogul cost for a small SaaS startup?

ChartMogul offers a free plan for companies with up to $120K ARR. Starter plans begin at $59 per month for smaller ARR amounts and scale up to $707 per month, with a 17% discount available for annual commitments. Source: https://chartmogul.com/pricing

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.

ChartMogul: What are the team member limits on ChartMogul plans?

The Free and Pro plans include unlimited team members, while the Starter plan is limited to 3 team members. Enterprise plans offer unlimited users with custom pricing. Source: https://chartmogul.com/pricing

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.

ChartMogul: How many billing sources can each ChartMogul plan integrate?

Free and Starter plans support 1 billing source each. Pro plans increase to 5 billing sources. Enterprise plans support 15 billing sources with custom pricing and unlimited integration capabilities. Source: https://chartmogul.com/pricing

Source
JMP: Does it run on Linux?

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

ChartMogul: Does ChartMogul offer an annual payment discount?

Yes, ChartMogul provides a 17% discount when paying annually instead of monthly on Starter and Pro plans. Enterprise customers can discuss custom annual pricing with the sales team. Source: https://chartmogul.com/pricing

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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