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Business Intelligence · head to head

GoodData vs JMP

GoodData logo

GoodData

Business Intelligence

Analytics platform for data products

From
On request
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: GoodData pricing scales per workspace as customer base grows, increasing costs with scale; 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: GoodData covers Headless BI, 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 GoodData and JMP actually diverge.

Attributes where GoodData and JMP differ
AttributeGoodDataJMP
Starting priceOn requestFree
Pricing modelUnknownsubscription
Free tierNoYes
PlatformsWeb, Cloud AWS, Cloud AzureMac, Windows
CategoryBusiness IntelligenceMachine Learning
Founded20071976

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 GoodData

  • Headless BI
  • Semantic Layer
  • Embedded Analytics
  • Multi-tenancy
  • White-labeling
  • Snowflake
  • BigQuery
  • Redshift

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.

GoodData

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

Where each one falls short

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

GoodData

  • Pricing scales per workspace as customer base grows, increasing costs with scale
  • Advanced security features like audit logging and HIPAA compliance only on Enterprise plan

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

GoodData

On request
  • Professional$undefined/mo
    • Core BI and analytics
    • Full embedding with whitelabeling
    • Multi-tenancy support
  • Enterprise$undefined/mo
    • All Professional features
    • Custom agents and Agent Builder
    • 99.5% guaranteed uptime SLA

JMP

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

Which should you pick?

Choose GoodData if

  • You need headless bi.
  • You work on Web, Cloud AWS, Cloud Azure.
  • You also want semantic layer.
GoodData 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 GoodData or JMP better?
Neither clearly leads. GoodData starts at On request and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, GoodData or JMP?
JMP has a free tier; the other does not. Paid plans start at On request for GoodData and Free for JMP.
Does GoodData or JMP run on more platforms?
GoodData runs on Web, Cloud AWS, Cloud Azure. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. GoodData starts at On request.
What is GoodData best used for?
GoodData is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what JMP is typically brought in for.
What can GoodData do that JMP cannot?
GoodData covers Headless BI, Semantic Layer, Embedded Analytics, Multi-tenancy. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

GoodData: Does GoodData offer a free tier?

No, GoodData does not offer a free tier. The platform has Professional and Enterprise pricing tiers that require sales contact for quotes.

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.

GoodData: What data warehouses can GoodData connect to?

GoodData supports direct connections to Snowflake, BigQuery, Redshift, Azure Databricks, and PostgreSQL through a direct-query-only integration model.

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.

GoodData: Can you self-host GoodData?

Self-hosted deployment is only available on the Enterprise plan. Professional plan customers are limited to the managed SaaS offering.

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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