---
title: "JMP Software Pricing, Alternatives & More 2026 | Capterra"
description: "With the help of Capterra, learn about JMP Software - reviews, pricing plans, popular comparisons to other Data Analysis products and more."
source_url: "https://www.capterra.com/p/151815/JMP-Statistical-Software/"
page_type: "product"
language: "en"
---

# 

 JMP Software Review 2026: Features, Integrations, Pros & Cons

Last updated on September 17, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews)

JMP

## What is JMP?

With JMP's advanced data analysis and modeling capabilities, you can easily explore one, two, or many variables at a time, with linked analyses that help you uncover the hidden story in your data. JMP's specific graphs designed for every statistic make it easy to interpret and understand your analysis results. When it comes to picking the right test and model for your data and selected variables, JMP has you covered, with just-in-time statistical analysis that allows you to solve your problem.

## What is JMP used for?

[Data Analysis](https://www.capterra.com/data-analysis-software/)[Statistical Analysis](https://www.capterra.com/statistical-analysis-software/)[Data Visualization](https://www.capterra.com/data-visualization-software/)

Top alternative

Featured

Overall rating

Based on 53 user reviews

Reviews sentiment

Positive

92%

Neutral

6%

Negative

2%

Starting price

$1390

Per User, Per Year

Free trial  
available

Free version not included

Capterra Shortlist charts the highest-rated and most popular products...

Our "Best of" badge program showcases products with the highest ratings...

Our "Best of" badge program showcases products with the highest ratings...

Do you work for JMP?[Manage this product listing](https://www.g2.com/products/jmp/claim_requests/new?auto=true)

## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### JMP

4.5 (53)

VS.

[4.7 (87)](https://www.capterra.com/p/10012559/EngineRoom/reviews/)

Starting Price

$1390

Per User, Per Year

Starting Price

$495

Per User, Per Year

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.2 (53)

Ease Of Use

4.7 (1,872)

Value For Money

4.3 (35)

Value For Money

4.6 (1,275)

Customer Service

4.5 (36)

Customer Service

4.6 (1,210)

## JMP alternatives

[4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

92%

of reviewers

rated it above 4 stars

[Microsoft Power BI](https://www.capterra.com/p/176586/Power-BI/)

[4.6 (1,893)](https://www.capterra.com/p/176586/Power-BI/reviews/)

Starting price

$10.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

96%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/176586/Power-BI/)

Highest Rated

[Google Analytics 360](https://www.capterra.com/p/177042/Google-Analytics/)

[4.7 (8,101)](https://www.capterra.com/p/177042/Google-Analytics/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

97%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/177042/Google-Analytics/)

[Tableau](https://www.capterra.com/p/208764/Tableau/)

[4.6 (2,362)](https://www.capterra.com/p/208764/Tableau/reviews/)

Starting price

$15.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

95%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/208764/Tableau/)

[View all alternatives](https://www.capterra.com/p/151815/JMP-Statistical-Software/alternatives/)

## FAQs about JMP

Overview

### What problems does JMP solve?

JMP helps teams solve slow, code-heavy analysis workflows by giving researchers, engineers, quality teams, and statisticians fast exploratory analysis, DOE, process capability studies, and predictive modeling in a point-and-click interface. It also fixes weak reporting by turning complex, multi-variable data into interactive visuals and presentation-ready dashboards.

Answer based on 44 reviews

Overview

### Which roles and teams benefit most from JMP?

JMP is most used by research teams, graduate students, and engineering professionals who need advanced statistical analysis and data visualization. Process, electrical, and development engineers rely on it to optimize experiments and improve quality, while data scientists and academic staff use it to model data, validate findings, and support technical decision-making.

Answer based on 53 reviews

Overview

### What company size and industries is JMP built for?

JMP is built mainly for enterprise organizations, which make up 61% of reviewers, and it is used most in Biotechnology and Research at 17% each. It also supports small businesses, representing 35% of reviewers, with additional use in Hospital & Health Care at 8% for statistical analysis and interactive data visualization.

Answer based on 53 reviews

Features and Usability

### What are the key features of JMP?

JMP includes core statistical analysis tools such as regression analysis, ANOVA, and multivariate analysis, plus interactive data visualization through Graph Builder and dashboards. Differentiating features include design of experiments, predictive modeling, process control, and no-code point-and-click workflows with data import, query, and scripting automation via JSL.

Answer based on 32 reviews

Integrations

### Which third-party tools and platforms does JMP integrate with?

JMP integrates with over 20 third-party tools and platforms, including Google Sheets, Microsoft Excel, Microsoft Access, Microsoft SQL Server, PostgreSQL, MySQL, Oracle Service, Amazon Redshift, Amazon Aurora, IBM Db2, IBM SPSS Statistics, MATLAB, and Minitab.

Answer based on 2 reviews

Getting Started and Support

### How easy is it to onboard and train a team on JMP?

JMP offers in-person training, live online sessions, webinars, videos, and documentation, giving teams several ways to learn. Beginners and analysts doing straightforward, no-code work often ramp up quickly, while first-time users, teams switching from Excel or Minitab, and those using scripting or advanced methods usually need more guided training.

Answer based on 26 reviews

Getting Started and Support

### What customer support options does JMP offer, and how do users rate the experience?

JMP offers email/help desk, FAQ/forum, a knowledge base, phone support, and chat. Users often describe email and phone responses as responsive and documentation as helpful, but some want more training materials and clearer in-product help. Support can feel time-consuming when troubleshooting bugs, upgrades, or complex integrations.

Answer based on 10 reviews

Features and Usability

### How good is JMP for graph visualization?

JMP makes graph visualization easy for analysis, reporting, and research with interactive charts, drag-and-drop building, and scripting options. Statisticians, lab teams, and academic users like the clear visuals and flexible Graph Builder, though some users want better aesthetics, smoother performance during coding, and simpler refinement for certain chart types.

Answer based on 22 reviews

Features and Usability

### How well does JMP handle data visualization?

JMP handles data visualization well for exploratory analysis, dashboards, and presentations with interactive plots and a low learning curve. Researchers, analysts, and laboratory teams value the quick graph creation and linked views across tables and charts, though some users find certain advanced visuals, screen display, and formatting options less polished.

Answer based on 20 reviews

## Features

AI summary

Based on 3,958 Data Analysis reviews

Capterra data shows that buyers of data analysis software rank the following features as their top priorities:

-   **Multiple Data Sources** (**47%** of reviewers rated this feature as critical)
-   **Reporting/Analytics** (**47%**)
-   **Dashboard Creation** (**43%**)

JMP supports all three of the features reviewers rate highest: **Multiple Data Sources**, **Reporting/Analytics**, and **Dashboard Creation**. Together, these capabilities help businesses bring in data from different systems, examine results more clearly, and present insights in visual dashboards, allowing teams to make faster, better-informed decisions.

Reporting/Analytics

4.6 (7)

71.43% of 7 reviewers that rated this feature as important or highly important

View and track pertinent metrics to find patterns and gain insights from data

Reporting & Statistics

5.0 (2)

50.00% of 2 reviewers that rated this feature as important or highly important

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Data Visualization

4.6 (9)

77.78% of 9 reviewers that rated this feature as important or highly important

Graphical representation of data

Data Discovery

4.6 (7)

57.14% of 7 reviewers that rated this feature as important or highly important

Discover and connect variety of data sources to the application for analysis

Statistical Process Control

4.6 (5)

80.00% of 5 reviewers that rated this feature as important or highly important

Statistical methods to assist with and maintain quality control of processes

Data Connectors

4.5 (4)

100.00% of 4 reviewers that rated this feature as important or highly important

Connect to big data sources

JMP 125 features

### All Features
- "What If" Scenarios: Method used in decision-making that allows businesses to input variables to forecast potential outcomes or possibilities
- Access Controls/Permissions: Define levels of authorization for access to specific files or systems
- Ad hoc Query: One-off queries made on an as-needed basis
- Ad hoc Reporting: Generate one-off reports that meet information requirements
- AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data
- Alerts/Notifications: Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges
- API: Application programming interface that allows for integration with other systems/databases
- Association Discovery: Machine learning method, based on rules, to find interesting relationships between variables in large databases
- Bayesian Analysis: A statistical method, based on Bayesian inference, that expresses unknown parameters as probability statements
- Big Data Analytics: Examine large amounts of data to uncover hidden patterns, correlations, and other insights
- Business Rules Management: Define and maintain business rules that determine workflow capabilities and criteria
- Categorization/Grouping: Organize and group data or items based on various criteria
- Charting: Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.
- Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together
- Compliance Tracking: Track and report regulatory data to either internal management or external stakeholders
- Configurable Workflow: Configure existing workflows to meet your organization's needs
- Customizable Branding: Add customized logos and colors to align with company branding
- Customizable Dashboard: Alter the layout and content of dashboards
- Customizable Reports: Alter the layout and content of reports
- Customizable Rules: Rules followed by the software/AI can be configured by users to suit their specific needs
- Customizable Templates: Pre-designed layouts that can be customized to match preferences and requirements
- Customization: Create labels for products that contain required information such as colors, sizes, dates, etc.
- Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics
- Dashboard Creation: Creation and customization of dashboards
- Data Aggregation: Collect, process and structure data from multiple sources for further analysis
- Data Analysis Tools: Analyze survey results via statistical testing or crosstabs directly within the software
- Data Blending: Merge data from multiple sources to a single data set
- Data Classification: Grouping log entries based on similar attributes.
- Data Cleansing: Removes data that is incomplete, inaccurate, or irrelevant from a dataset
- Data Clustering: Clustering or grouping objects based on data similarities
- Data Connectors: Connect to big data sources
- Data Discovery: Discover and connect variety of data sources to the application for analysis
- Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
- Data Import/Export: Import and export data to and from software applications
- Data Integration: Combining data from different sources and providing a unified view
- Data Mapping: Track the management and flow of data throughout the organization
- Data Mining: AI method of discovering or extracting data patterns from larger volumes of data
- Data Modeling: Conceptual model of how data items relate to each other
- Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.
- Data Profiling: Examines, analyzes, and organizes data to create relevant summaries or graphs.
- Data Quality Control: Establish guidelines about how much and what kind of data can be stored in the repository
- Data Source Connectors: Connect to big data sources
- Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
- Data Transformation: Translate EDI formats into data suitable for use with company applications.
- Data Verification: Process of checking different types of data for accuracy to avoid errors or inconsistencies
- Data Visualization: Graphical representation of data
- Database Support: Supports common databases such as MySQL and Oracle
- Decision Support: Tools that provide relevant information at specific times to support judgments and courses of action
- Decision Tree: Support tool that enables users to progress through a series of steps to solve a problem
- Defect Tracking: Process of tracking logged defects (errors) in a product or service to create new versions to fix the error
- Demand Forecasting: Forecast customer demand using historical insights and simulations
- Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components
- Duplicate Detection: Compare new data with existing records to detect duplicate entries
- ETL: Process of extracting, transforming, and loading data
- File Sharing: Public or private sharing of digital files such as documents, audio/video, images, and more
- File Storage: Store and access documents, forms, and photos in one centralized place
- For Education: Used for educational purposes
- For Retail: For Retail Stores
- Forecasting: Form predictions based on past and present data/trends
- Functions/Calculations: Perform various mathematical calculations using the data
- Graphical Workflow Editor: Create, design and modify the flow and processes of tasks in a project
- Historical Reporting: Information, data and reports that are being tracked over time
- Historical Trend Analysis: Review data from past periods to reveal recurring tendencies
- Interactive Elements: Various components within a system including buttons, clickable icons, hover effects, and more
- Key Performance Indicators: Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity
- KPI Monitoring: Tracking the status of previously identified performance measurements
- Machine Learning: Enable businesses to implement machine learning algorithms on business data such as sales and revenue
- Match & Merge: Looking at data from different sources and finding possible duplicates, or identical matches
- Metadata Management: Collect and maintain structured information that describes data or content
- Mixed Methods Research: Combining elements of both quantitative and qualitative data to conduct research
- ML Algorithm Library: Share, track, and store machine learning models and data.
- Model Training: Process of testing an ML algorithm by feeding it training data to learn from
- Modeling & Simulation: Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making
- Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user
- Monte Carlo Simulation: stochastic model based on repeated random sampling
- Multi-Channel Data Collection: Collect information from multiple sources
- Multi-Language: Manage and support multiple languages
- Multiple Data Sources: Allows users to manage data from a number of sources
- Multiple Scoring Models: Create multiple models or equations for generating scores
- Multivariate Analysis: Analysis of data sets that contain more than one variable
- Natural Language Processing: Process and analyze human language in text or audio form
- Natural Language Search: Ability to interact with the application using human languages such as English
- Neural Network Modeling: A classification and/or predictive modeling technique used for data analysis
- No-Code: Drag and drop/visual interfaces that allow non-tech users to build without writing code
- Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
- Predictive Analytics: Predict future data based on historical data sets
- Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes.
- Private Dashboards: Share dashboard screen within private user groups
- Publishing/Sharing: Share pre-configured sets of data organized and presented in a specific manner with the organization
- Quality Control: Ensure that quality requirements and standards are met across production processes
- Query Builder: Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database
- Real-Time Analytics: Analyze and gain insights into data in real-time
- Real-Time Data: Receive data and information in real time
- Real-Time Notifications: Notifications that are delivered to users as soon as an event occurs
- Real-Time Reporting: Active reporting of data and metrics
- Real-Time Updates: Receive system updates as soon as any changes are made
- Regression Analysis: Analysis to understand which of the independent variables are related to the dependent variable
- Relational Display: Relationship diagram view that arranges items in data based on the relationships between them in a freeform graph.
- Reporting & Statistics: Collection, analysis, and representation of numerical data and generation of reports to understand various patterns
- Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data
- Risk Assessment: Initiate collection and analysis of known risks
- Sales Trend Analysis: Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.
- Scheduled/Automated Reports: Set a time to generate routine reports automatically
- Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria
- Self Service Data Preparation: Access, combine, transform, and store data without the help of an IT department
- Self-service Analytics: Generate reports on your own without IT involvement
- Sentiment Analysis: Categorize emotions expressed and identify if they are positive, negative or neutral
- Statistical Analysis: Apply statistical/mathematical models to sets of data
- Statistical Process Control: Statistical methods to assist with and maintain quality control of processes
- Statistical Simulation: Assess the performance of a method by picking a random sample from a normal distribution
- Storytelling: Ability to present data insights in the form of a story to the audience
- Surveys & Feedback: Gauge satisfaction and receive information for improvement and success
- Survival Analysis: Analyze the expected duration of time until one or more events occur
- Text Analysis: Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc
- Text Mining: Transforming unstructured text into a structured format to identify meaningful patterns and new insights
- Third-Party Integrations: Set up connections to third-party platforms to improve business processes
- Time Series Analysis: Series of data points indexed in time order
- Trend Analysis: Review data from past periods to reveal recurring tendencies and predict future performance
- User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks
- Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data
- Visual Discovery: Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.
- What-if Analysis: Provides varying estimates based on different scenarios
- Widgets: An extended application or connector that enables users to perform additional services with their current set of tools
- Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows
- Workflow Management: Create, design and manage workflows for repetitive tasks

---

Get Advice

We can help you find the software with the features you need.

Features

4.4 (53)

4.4

Based on 53 reviews

## Pricing

Value for money

4.3 (35)

Free Trial

[View pricing plan details](https://www.capterra.com/p/151815/JMP-Statistical-Software/pricing/)

Basic

$1,390

Per User,Per Year

JMP Pro

$8,820

Per User,Per Year

JMP Clinical

$8,820

Per User,Per Year

Value for money

4.3 (35)

4.3

Based on 35 reviews

## Integrations

[

Microsoft Excel](https://www.capterra.com/p/176574/Excel/)[

Google Sheets](https://www.capterra.com/p/169718/Google-Sheets/)[

MySQL](https://www.capterra.com/p/11482/MySQL/)[

MATLAB](https://www.capterra.com/p/125813/MATLAB/)[

Microsoft SQL Server](https://www.capterra.com/p/1417/SQL-Server/)[

IBM SPSS Statistics](https://www.capterra.com/p/250819/IBM-SPSS-Statistics/)[

PostgreSQL](https://www.capterra.com/p/48791/PostgreSQL/)[

Minitab](https://www.capterra.com/p/109731/Minitab-Statistical-Software/)

Connect with a Capterra advisor for a free 15-minute consultation

Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs.

## Support, customer service and training options

Customer Service

4.5 (36)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

4.5 (36)

4.5

Based on 36 reviews

## User reviews

Overall rating

4.5

Based on 53 reviews

Filter by rating

5(34)

4(15)

3(3)

2(1)

1(0)

Mentioned topic

Sorted by most recent

AN

Anonymous User

Electrochemical Engineer

Research

### "JMP's statistical analysis has a seamless integration of scripting and visualization"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

December 8, 2025

Very positive and one of the better statistical softwares that I have used in the past. Learning more each day using!

Pros

I enjoy the ability to save scripts after making an initial plot via a "drop and play" workflow. Can practice scripting or just drop columns into plot locations. This helps with data analysis when new information comes in.

Cons

Connecting to a database can be difficult at times if not done correctly. This can lead to roadblocks when implementing new softwares.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

BP

Bhavin P.

Purchasing Agent

Education Management

### "JMP, hard to learn but worth it!"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

9/10

July 7, 2025

Overall I would say that I am satisfied with JMP, and would recommend this software to colleagues in need of software tools.

Pros

Data analysis was very easy to compile using JMP. I found this software more user friendly than other data tools.

Cons

I found it difficult to find certain tools in JMP while first learning how to navigate each of the tabs.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

NK

Nicholas K.

Senior Specialist

Pharmaceuticals

### "JMP user review"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

10/10

January 27, 2025

JMP is my go-to software for any data analysis and visualization. Always excited when I get my hands on new datasets and loading them into JMP to see what I can learn using the wide array analysis/regression methods and visualization tools in JMP.

Pros

Intuitive user interface from end to end, from opening a dataset, column formatting to data visualization and analysis. Plots and graphs are also interactive, e.g., highlighted data points in a plot will similarly be highlighted in other plots and tables originating from the same dataset - I absolutely adore this feature.

Cons

Uninstalling the previous version of JMP to install/upgrade to a newer version took several attempts - although that could be due to my office laptop setup. Nonetheless, this was resolved quite easily by our IT support staff.

Switched from

[Microsoft Excel](https://www.capterra.com/p/176574/Excel/)

The analysis and visualization capabilities in JMP and ease of use outweighs that of Excel.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

Response from Vendor

January 27, 2025

Thank you for sharing your feedback! We're thrilled to hear that you find JMP effective for data analysis and visualization. I'm sorry you have had trouble upgrading to the new version. If this happens again, please seek out the help of our fantastic support (jmp.com/support) to see if they can solve the issue more quickly for you. Please stay in touch with us and connect with other JMP users over on the JMP community! (jmp.com/community)

MS

Manon S.

Associate software engineer

Computer Software

### "Powerful Statistical Analysis"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

9/10

August 3, 2024

Pros

I used it to analyze complex data sets quickly and get clear visualizations.

Cons

I spent a lot of time figuring out how to use some advanced features when I first started.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

Response from Vendor

August 6, 2024

We are so glad to hear that you're using JMP as part of your analytics journey. Be sure to stay in touch with us and take part in discussions with other users over on the JMP Community!

SF

Shahna F.

Graduate research assistant

Research

### "Easiest data analysis application "

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

10/10

October 30, 2023

Pros

It's easy to use for data analysis and obtaining publishable visualization

Cons

For students, you don't understand what's happening behind the scenes

Switched from

[R-Studio Data Recovery](https://www.capterra.com/p/33908/R-Studio/)

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

Josue G.

Abogado

Judiciary

### "Mi experiencia en JMP"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

August 26, 2023

JMP es un gran aliado a la hora de consultar, analizar datos y gráficos de una manera bastante efectiva.

Pros

Buenas herramientas de consulta, análisis de datos y gráficos.

Cons

Sería bueno que hubiera más opciones de ayuda para el usuario.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AN

Anonymous User

statistician

Biotechnology

### "Great product for statisticians and non-statisiticians"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

February 3, 2023

It's a great software to use for new and experienced professionals in the manufacturing and biologics industry.

Pros

I like the functionality and ease of use for both statisticians and non-statisticians. There's point and click and scripting that you can use to make data visualizations, models, and more (such as simulations). I like that you can make your own templates with the use of the scripting language and modal windows for yourself and your clients to use.

Cons

The scripting language is not flexible as R; it is a lot like SAS with not much syntax overlap.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AN

Anonymous User

Data Scientist

Information Technology and Services

### "All-in-one No-code Platform for Data Analysis!"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

September 10, 2022

JMP have helped me in quickly performing exploratory data analysis in my local system on the data to gain insights on customer data and also have allowed me to apply predictive analysis as per the use cases .It have enabled me to quickly deliver presentations from visualizations generated from dashboards.

Pros

1.Easy to use and user friendly UI 2.Allows you easily load your data from database or csv files,etc 3.Support for algorithms for data analysis and modeling 4.Comes with good data manipulation and visualization features 5.The application is installed in your local system, allowing it to be accessed anytime. 6.Good Documentation support

Cons

1.Lesser Features available in free trail had to upgrade to pro version for complete experience 2.Cost is a bit high as compared to other similar tools 3.More data sources support can be added

Switched from

[Inzata](https://www.capterra.com/p/178411/Inzata/)

[Microsoft Power BI](https://www.capterra.com/p/176586/Power-BI/)

[Microsoft Excel](https://www.capterra.com/p/176574/Excel/)

It allows Faster and efficient data analysis , also support for various predictive analytics and clustering algorithms makes it a good choice to try.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

AN

Anonymous User

Programmer

Hospital & Health Care

### "Need to improve many functions within the tool"

2.0

Overall Rating

2.0

2.0

Ease of Use

2.0

2.0

Features

3.0

3.0

Customer Service

0.0

0.0

Likelihood to Recommend

5/10

August 5, 2022

Pros

The tool has options for data visualization and reporting which is good

Cons

The tool is very slow it gets stuck a lot when coding and the visualisation part can be improved and can be made more easy to use adding drag and drop options

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

Response from Vendor

August 31, 2022

Thanks for the feedback, we are always looking to improve! If you have specific feedback or examples where you've run into performance issues, or where you think we can add more drag and drop functionality, please share on our JMP Community Wish List at https://community.jmp.com/t5/JMP-Wish-List/idb-p/jmp-wish-list.

Ryan M.

Senior Research Analyst

E-Learning

### "JMP is a great way to become familiar with machine learning"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

6/10

July 18, 2022

Pros

I liked that there were powerful algorithms available at the click of a button. The menus were intuitive, as long as you are familiar with the vocabulary of machine learning

Cons

JMP is great when you are running an analysis that is straightforward. There are some data cleaning features available but it is not as extensive as Python or R. I really didn't like the printed syntax of it. Great for beginners but as a professional, you should plan to use JMP as a learning tool to prepare you for R or Python.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

Response from Vendor

August 3, 2022

Hi Ryan- We love open source too! So much that we include interfaces to R, Python, MATLAB etc. So if you have a favorite data cleaning or machine learning algorithm, you can integrate it into JMP!

[View all Reviews](https://www.capterra.com/p/151815/JMP-Statistical-Software/reviews/)

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