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Software · head to head

DataRobot vs JMP

DataRobot logo

DataRobot

Software

Enterprise AI platform for automated machine learning

From
On request
Rated
-
Full reviewWebsite
JMP logo

JMP

Software

Statistical discovery software from SAS

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: DataRobot model transparency is limited, often resembling a black box with limited explainability; JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
  • They diverge on capability: DataRobot covers Automated ML, JMP covers Interactive statistics.

Where they differ

Only the attributes on which DataRobot and JMP actually diverge.

Attributes where DataRobot and JMP differ
AttributeDataRobotJMP
Starting priceOn requestFree
Free tierNoYes
PlatformsWebMac, Windows
Founded20121976

Identical on both: pricing model (subscription), user rating (Not yet rated), category (Unknown).

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 DataRobot

  • Automated ML
  • Model deployment
  • Time series
  • MLOps
  • Model monitoring
  • Snowflake
  • Databricks
  • AWS

Only in JMP

  • Interactive statistics
  • Dynamic visualization
  • Design of experiments
  • Predictive modeling
  • Quality control
  • SAS
  • Python
  • R

What people use each for

The jobs each tool is most often brought in to do.

DataRobot

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

JMP

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

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

DataRobot

  • Model transparency is limited, often resembling a black box with limited explainability
  • Requires integration with separate data manipulation tools for complex data transformation
  • Lacks native Python and R code customization for proprietary algorithms
  • Dependence on cloud connectivity means offline capabilities are not available
  • Uploading sensitive data to third-party servers raises data privacy and security concerns

JMP

  • The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.

Pricing, plan by plan

DataRobot

On request
  • TrialFree
    • Limited access
    • Basic features
  • EnterpriseFree
    • Full platform
    • AutoML
    • MLOps

JMP

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

Which should you pick?

Choose DataRobot if

  • You need automated ml.
  • You also want model deployment.
DataRobot review

Choose JMP if

  • You need interactive statistics.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want dynamic visualization.
JMP review

Questions people ask

Is DataRobot or JMP better?
Neither clearly leads. DataRobot 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, DataRobot or JMP?
JMP has a free tier; the other does not. Paid plans start at On request for DataRobot and Free for JMP.
Does DataRobot or JMP run on more platforms?
DataRobot runs on Web. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. DataRobot starts at On request.
What is DataRobot best used for?
DataRobot is most often used for machine learning, data analysis, model training, predictive analytics.
What can DataRobot do that JMP cannot?
DataRobot covers Automated ML, Model deployment, Time series, MLOps. JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling.

Answered from the vendors’ own pages

DataRobot: Does DataRobot require data science expertise?

DataRobot automates much of the ML pipeline including data preparation, feature engineering, and model selection, making it more accessible to non-experts, though it is still an enterprise platform.

Source
DataRobot: What does DataRobot cost?

DataRobot uses custom enterprise pricing with typical starting costs around $2,500 per month for smaller organizations. For 10 users, monthly costs range from $15,000 to $20,000. Implementation and professional services are 20-40% of first-year contract value.

Source
DataRobot: Does DataRobot support generative AI?

Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.

Source
DataRobot: Can DataRobot handle unstructured data?

Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.

Source
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