---
description: Review of JMP Software: system overview, features, price and cost information. Get free demos and compare to similar programs on Software Advice New Zealand.
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title: JMP | Reviews, Pricing & Demos - SoftwareAdvice NZ
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# JMP

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> JMP is an on-premise data analytics solution that helps scientists, engineers and data explorers understand complex data relationships and visualize them via interactive dashboards. The data acquisition and cleanup functionalities allow users to import data from Open Database Connectivity (ODBC) compliant databases and screen data for outliers, entry errors and missing values, among other inconsistencies.&#10;&#10;&#10;JMP enables data explorers to utilize what-if scenarios and reliability analysis to depict patterns, gain insights into product performance and address design vulnerabilities. It lets users design all experiments based on current problems, budgets and available timing. Additionally, leaders can conduct consumer and market research via data mining, survey analysis, choice experiments and more.&#10;&#10;&#10;JMP allows organizations to use third-party analytics tools, such as SAS, MATLAB, R and Python. It is available on a perpetual license and support is extended via email, discussion forum, documentation and FAQs.
> 
> Verdict: Rated **4.5/5** by 53 users. Top-rated for **Likelihood to recommend**.

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## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.5/5** | 53 Reviews |
| Ease of Use | 4.2/5 | Based on overall reviews |
| Customer Support | 4.5/5 | Based on overall reviews |
| Value for Money | 4.3/5 | Based on overall reviews |
| Features | 4.4/5 | Based on overall reviews |
| Recommendation percentage | 80% | (8/10 Likelihood to recommend) |

## About the vendor

- **Company**: SAS Institute
- **Founded**: 1976

## Commercial Context

- **Starting Price**: US$1,390.00
- **Pricing model**: Per User (Free Trial)
- **Pricing Details**: Volume discounts available.  Annual license.
- **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Mac (Desktop), Windows (Desktop), Windows (On-Premise), Linux (On-Premise)
- **Supported Languages**: Chinese, English, French, German, Italian, Japanese, Korean, Spanish
- **Available Countries**: Afghanistan, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antigua & Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium and 203 more

## Features

- "What If" Scenarios
- AI/Machine Learning
- API
- Access Controls/Permissions
- Ad hoc Analysis
- Ad hoc Query
- Ad hoc Reporting
- Alerts/Notifications
- Association Discovery
- Bayesian Analysis
- Big Data Analytics
- Business Rules Management
- Categorisation/Grouping
- Charting
- Collaboration Tools
- Compliance Tracking
- Computer Assisted Coding
- Configurable Workflow
- Customisable Branding
- Customisable Dashboard

## Integrations (23 total)

- Amazon Aurora
- Amazon Redshift
- Apache Booster
- CData Drivers
- Firebird
- Google Sheets
- IBM Db2
- IBM SPSS Modeler
- IBM SPSS Statistics
- MATLAB
- MariaDB
- Microsoft Access
- Microsoft Excel
- Microsoft SQL Server
- Minitab

... and 8 more integrations

## Support Options

- Email/Help Desk
- FAQs/Forum
- Knowledge Base
- Phone Support
- Chat

## Category

- [Data Quality Software](https://www.softwareadvice.co.nz/directory/4582/data-quality/software)

## Related Categories

- [Data Quality Software](https://www.softwareadvice.co.nz/directory/4582/data-quality/software)
- [Quality Management Software](https://www.softwareadvice.co.nz/directory/420/quality-management-software/software)
- [Decision Support Software](https://www.softwareadvice.co.nz/directory/4202/decision-support/software)
- [Machine Learning Software](https://www.softwareadvice.co.nz/directory/4358/machine-learning/software)
- [Qualitative Data Analysis Software](https://www.softwareadvice.co.nz/directory/4695/qualitative-data-analysis/software)

## Alternatives

1. [Microsoft Power BI](https://www.softwareadvice.co.nz/software/23530/microsoft-power-bi) — 4.6/5 (1870 reviews)
2. [Google Analytics 360](https://www.softwareadvice.co.nz/software/137155/google-analytics) — 4.7/5 (8089 reviews)
3. [Tableau](https://www.softwareadvice.co.nz/software/1940/tableau) — 4.6/5 (2348 reviews)
4. [Zoho Analytics](https://www.softwareadvice.co.nz/software/393551/zoho-analytics) — 4.4/5 (360 reviews)
5. [Minitab](https://www.softwareadvice.co.nz/software/81798/minitab) — 4.5/5 (388 reviews)

## Reviews

### "A statistical tool for everybody." — 3.0/5

> **Prathamesh** | *1 December 2019* | Retail | Recommendation rating: 8.0/10
> 
> **Pros**: JMP comes with lots of feature and functionality. It is very easy to use and requires no prior experience. It is is one of the statistical package software which doesn't require coding skills. Anybody with no experience and training can use JMP with ease. It has a dashboard which is easy to navigate and feature enabled. Data mining, data cleaning, and descriptives statistics can be very easily performed on JMP. The tool accepts data in different formats csv, xlsx, and dat format . For multivariate statistics JMP is a good tool when it comes to analyzing data using linear regression, ANOVA, MANOVA, and logistic regression. The dashboard application makes it very easy for the user to carry out the complex operations for the advance multivariate methods.  Drag and drop functionality is very useful when it comes to handling lots of data. The results displayed are very good graphic display, easy to save and copy graphs other documents. The profiler component of the JMP is very useful to share analysis and reports using web interface. New methods like segmentation and conjoint analysis are also available in JMP. Overall JMP is must use tool for statisticians.
> 
> **Cons**: JMP doesn't provide any tools to analyze data using high level simulations. The available simulations are basic simluations which are capable to produce certain amount of data predictions. Variable value designation is a big problem in JMP, the software fails to recognize the type of data when it comes to numeric value. For example, JMP sometimes fails to recognize the difference between number and a string. It is easy to upload an excel sheet in JMP, but the excel add-in takes more time to work, sometimes it even fails to operate. Error and bug fixing requires exhaustive customer support and it is very time consuming. Loading large amount of data is very tedious as it takes lot of time and it crashes very frequently. Other software integrations for JMP are quiet challenging. JMP's parent company SAS follows different set of integration codes because of which the intergration with most large scale software for data access becomes a challenge. Also, JMP is quite expensive for small business, the pricing is suitable for midsize and large companies. Overall, high level simulations, excel add-in, and pricing are the drawbacks of JMP.
> 
> Overall JMP is a very good statistical tool in it features and functionalities. For statisticians who are involved in industrial applications, JMP is a option for them. JMP gives full control and flexibility over data manipulation and analysis. Easy to operate method mechanism and drag and drop function through dashboard is a plus. Reports are very interactive and easy to export. Overall, recommended for statisticians.

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### "JMP user review" — 5.0/5

> **Nicholas** | *27 January 2025* | Pharmaceuticals | Recommendation rating: 10.0/10
> 
> **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.
> 
> 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.

-----

### "JMP is always there for your data processing needs\!\!\!" — 5.0/5

> **Abhinav** | *6 August 2018* | Semiconductors | Recommendation rating: 9.0/10
> 
> **Pros**: I have used this software for more than 5 years now and I have found this to be awesome with large volume data handling. You can make the software spit out graphs, tables and whatever you want it to.
> 
> **Cons**: It is a bit less intuitive and you really need to know the exact commands. A bit of better GUI would have been more useful like one of those word processing softwares.
> 
> Overall my experience has been very good. I dont really know too many software out there which can do simultaneous data processing and making them into presentable dashboards.

-----

### "JMP's statistical analysis has a seamless integration of scripting and visualization" — 4.0/5

> **Verified Reviewer** | *8 December 2025* | Research | Recommendation rating: 10.0/10
> 
> **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.
> 
> Very positive and one of the better statistical softwares that I have used in the past. Learning more each day using\!

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### "JMP is a useful software" — 5.0/5

> **Nanditha** | *8 December 2019* | Hospital & Health Care | Recommendation rating: 10.0/10
> 
> **Pros**: JMP is easy to use for experienced users, and is relatively easy to learn. it is a very comprehensive statistical software.
> 
> **Cons**: although it is easy to use for experienced users, it is slightly challenging to learn (not difficult to learnt though).
> 
> I have used JMP for design of experiments and statistical analysis during my masters and PhD and the software has been very accurate in my analyses.

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## Links

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| Locale | URL |
| de | <https://www.softwareadvice.de/software/103067/jmp> |
| en | <https://www.softwareadvice.com/bi/jmp-profile/> |
| en-AU | <https://www.softwareadvice.com.au/software/103067/jmp> |
| en-GB | <https://www.softwareadvice.co.uk/software/103067/jmp> |
| en-IE | <https://www.softwareadvice.ie/software/103067/jmp> |
| en-NZ | <https://www.softwareadvice.co.nz/software/103067/jmp> |
| fr | <https://www.softwareadvice.fr/software/103067/jmp> |

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