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liliconcom

Re: All Competitors Bulleted List

Thanks for the summary and effort in maintaining this list!

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@danielvalente @saradoudt Any info on OriginPro https://www.originlab.com/ ? Customers are asking us about how JMP compares

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Hi!

Does anyone have any info on Stata?

https://www.stata.com/features/

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I was surprised to see that Minitab also refers to their graphing/data viz tool as "Graph Builder"

this is on their homepage:

Graph Builder - Minitab.jpg

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Interesting Wendy. Looks like it was just released (at least the press release) yesterday! https://www.globenewswire.com/news-release/2021/06/24/2252644/0/en/Minitab-Launches-Interactive-Graph-Builder-for-Minitab-Statistical-Software.html

Re: All Competitors Bulleted List

Hello all,

we are currently facing amazon sagemaker (Amazon SageMaker – Machine Learning – Amazon Web Services). Is there any information available regarding the strengths to tackle this "competitor" @saradoudt @Daniel_Valente ?

Any advice is helpful, kind regards DACHT1 @Manuela_Mek @Florian_Vogt

Re: All Competitors Bulleted List

Modelling:

KNIME

All Competitors Bulleted List

This bulleted list (alphabetical by competitor) is meant to serve as a snapshot of quick selling points against each competitor for all of the JMP products (JMP, JMP Clinical, JMP Genomics, JMP Live). Each competitor will also have more detailed information linked such as full SWOTS and related assets. This page was last updated in Fall 2020 and will be updated when additional competitor information is available.

BioPython (JMP Genomics)

BioPython is error prone, programmers create one-off code.
BioPython has no tech support.
Potential Issue: Latest machine learning methods are available sooner than JMP Genomics.
More on JMP Genomics

Exensio

Common in semiconductor industry
JMP is substantially cheaper per license - could be anywhere from 10-50x cheaper depending on where the account is on the license cost curve
JMP is much better suited for EDA and ad hoc analysis
Going to be more flexible and can handle a wider variety of analysis problems (bigger menu of tools)
JMP has unique capabilities such as DOE, Fit Model, and Reliability analysis
JMP reports are dynamic and interactive

Golden Helix (JMP Genomics)

Golden Helix has less analytics.
Golden Helix has less statistical visualizations.
Potential Issue: Golden Helix has a services branch to do the work for the customer.
More on JMP Genomics

Graph Pad Prism (coming soon)

Matlab

Faster learning curve with JMP.
Pricing—the cost of licensing JMP can be less than adding on the statistics toolbox for MATLAB when there are > 2 licenses of JMP – a good talking point if the customer has only a base MATLAB installation.
JMP is integrated with Matlab, R, SAS, Excel.
Matlab SWOT
JMP and Matlab Infokit
Matlab Online

Minitab

Minitab is not interactive like JMP.
Minitab does not have the capability to perform analyses at the scale and speed of JMP.
Minitab is very limited in DOE and predictive modeling compared to JMP; Minitab has no data mining algorithms and does not have more advanced features than JMP.
Minitab is Windows-only with the exception of Minitab Express, which is a limited version for teaching.
Support & resources JMP makes available far exceeds that of Minitab.
Minitab SWOT
Moving from Minitab to JMP - Transition Guide
Minitab Training
Minitab Site

Optimal +

Commonly seen in semiconductor industry
JMP is substantially cheaper per license.
JMP is much better for EDA and ad hoc analysis.
JMP can also do things that Optimal+ currently can’t such as DOE, Fit Model, and Reliability analysis.
JMP reports are dynamic and Optimal+ reports are static.
Semiconductor Training and Info

Partek (JMP Genomics)

Partek has less analytics, only allows models up to 2 factors. Ex: you can compare differences in expression between Male and Females, and between Control, Treatment 1, and Treatment 2. JMPG allows for many factors. Ex: in addition to the sex comparison and the treatment comparison we can also include age groups, diet groups, etc. As many factors as you need.
Partek has fewer statistical visualizations
Potential Issue: Partek has full pipeline which allows Partek to perform sequence alignment, which JMP Genomics cannot do.
More on JMP Genomics

Perkin-Elmer (JMP Clinical)

Portrait

Portrait is targeted to marketers; JMP is a more diverse and richer statistical tool that can be used across the organization.
Portrait is Windows only.
Though known for their uplift modeling capabilities, JMP provides that and more.

Python

JMP has dynamic interactive visualization and doesn’t require you to write code to explore your data.
JMP has a user friendly “point and click” interface.
JMP has superior DOE.
JMP is data analysis ready after installation, no need to install extra “modules”.
JMP and Python can be complimentary:
- Though slower than some other languages like C or C++, Python’s data handling capacity is said to be excellent.
- JMP interfaces to Python (and Excel, Matlab, R, and SAS) to let users expand their toolset and take advantage of the synergies between their tools.
Using JMP and JMP Pro with Python and R.
R and Python Training

R Bioconductor (JMP Genomics)

R Bioconductor is error prone, programmers create one-off code.
R Bioconductor has no tech support.
Issue: Latest machine learning methods are available sooner than JMP Genomics.

R Studio (Connect, Shiny, Server Pro)

Reliasoft

JMP provides better value.
Reliasoft is only focused on reliability, whereas JMP can address reliability as well as other needs in the organization.
JMP is more interactive and visual providing the user with a richer experience as well as better means to share findings.
Reliasoft SWOT

Simca

JMP provides better value.
JMP has much better DOE.
JMP is more graphical and interactive.
Simca SWOT

SPSS

JMP has better pricing and more functionality, especially for DOE.
JMP is a simpler sell.
JMP has dynamic interactive visualization, superior customer support, service and training.
IBM SPSS Data Collection SWOT
IBM SPSS Modeler SWOT
IBM SPSS Statistics SWOT
SPSS to JMP Transition Guide (external, gated page)
SPSS to JMP Transition Guide (internal, ungated, PDF)

Spotfire

JMP has a stronger set of data prep/cleanup capabilities.
JMP brings more fully integrated data visualization and analysis to a wide group of specialized users (I.e., DOE, Reliability) with more functionality in just one product.
JMP is integrated with SAS.
Tibco Spotfire SWOT
More on Tibco Spotfire (for publishing and collaboration - vs JMP Live)
Spotfire Training

Statistica

Statistica has no DOE.
JMP is a simpler sell—Statistica has many modules and JMP has most of what you need.
JMP is more visual and interactive and is more tightly integrated with SAS.

Tableau

JMP is much stronger on analytics and data prep/cleanup.
Tableau has no SAS or Microsoft Office integration.
Tableau has no scripting and they get low marks for interactive reports and the ability to build analytic applications.
Tableau SWOT
JMP vs Tableau on control charts
Tableau Training

Umetrics MODDE

DOE Software by Satorius Stedim Biotech
Common competitor in Chemical Industry
Umetrics MODDE SWOT

Competitor Info (SWOTS)

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This one came up in a call:

SEEQ

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I don't see Dataiku on the list yet

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JMP Pro

General

Stata MP17

Med. Res.

MedCalc

Comprehensive Meta Analysis

Sample Size/ Experimental Design

NCSS / PASS

Nquery

Mod. & Sim

AnyLogic

Wolfram SystemModeler

SEM

Data Vis. /Exploratory Data Analysis

Paraview (open-source multiple-platform interactive, scientific visualization)

IBM SPSS Modeler

QbD Risk assessment

LeanQbD

Qualitative / Unstructured / Text

Social Media Analytics

DOE/MVDA

Aspen Unscrambler HSI

Curvefit/Spectral Data Analysis

OriginPro

Mestrelab Mnova

Certara Winnonlin (Pharmacokinetics NCA, Dissolution)

DDSolver (Dissolution - Freeware)

PKSolver (Pharmacokinetics NCA - Freeware)

ASAP Prime (Pharmaceutical Stability testing)

Graph Builder

Golden Grapher

ETL/Process Builder/AI/ML

JMP Live

TIBCO Data Science/Statisitca

JMP Genomics

Biodiscovery NxClincal

CLC genomics Workbench

SoftGenetics - NEXTGENe, Mutation Surveyor, Genemarker

Qlucore - Omics explorer, Clinical Diagnostics, Insights, Diagnostics

JMP Clinical

TIBCO Spotfire

Pharmacovigilance workflow

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I'm going to echo @dara_hammond. I was recently involved with NXP's Hack-a-Thon and it was all Dataiku. Granted, they were the organizer. Even so, folks had the opportunity to use JMP but chose not to. What I heard anecdotally was that JMP was good for smaller problems but was relatively hard to productionalize. In particular, incorporating it into an operational setting in concert with other analytic applications was unwieldy due to the need to development and maintain JSL code (from what I saw, Dataiku relied mostly on building flow diagrams via drag and drop). I had also heard that Dataiku doesn't scale well to large data problems. Regardless, it would be good to get a more thorough assessment.