| Product | Rating | Most Used By | Product Summary | Starting Price |
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 JMP | Score9.2 out of 10 | N/A | JMP® is statistical analysis software with capabilities that span from data access to advanced statistical techniques, with click of a button sharing. The software is interactive and visual, and statistically deep enough to allow users to see and explore data. | $1,320 per year per user |
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| Entry-level Setup Fee | No setup fee | ||||||||||
| Additional Details | Bulk discounts available. | ||||||||||
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| Considered Both Products | Chose JMP It is great because it has UI menus but it costs money whereas the other programs are free. That makes it ideal for beginners but I think that RStudio and Python are going to make someone a lot more marketable for future opportunities since most companies won't pay for the … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose JMP I learned Statistical Analysis in JMP and am therefore not overly familiar with SAS. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose JMP We just needed to get the output that contains the statistical output, graphs but no programming. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose JMP Compared to other, similar programs, JMP is outstanding in ease of use and ability to be used by almost anyone across an organization. It is more fluid, user friendly, and, most importantly, requires no coding experience. The only two areas where it is not as good as … Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose JMP JMP is more user-friendly, in my opinion, as it doesn't require any coding or searching for hours into cryptic folders for the analysis you want to perform. It is also very good for recording large data sets. Moreover, it is compatible with Microsoft Excel. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose JMP For me, JMP is the best and easy way to run regressions. I wouldn't use it for other more advanced models. I decided to use it because we got it for free since we are technically an academic institution. Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info Chose JMP MS Excel is good for manipulating data and providing flexible data arrays, but has serious deficiencies in its graphical displays and analytic capabilities. This is where JMP has its greatest advantages...see some of my previous comments, but I see these software applications … Chose JMP I choose JMP because I can accomplish various analyses in one place (no need to move my data around). JMP also can handle huge data sets. Chose JMP I much prefer the ability to code my programs which is the main method used in both SAS and R. These software choices allow for quicker, more efficient, and more advanced analysis techniques. The one area that JMP is above these is in graphics and visual displays of data. JMP … Chose JMP Well, JMP is excellent for statistical analysis. So, this product it is well used for statistical analysis and data analytics. Chose JMP JMP is fast and powerful but little costly than others. But good return for money. Chose JMP Preference to JMP is driven more by my personal affinity for SAS and its application capabilities. Chose JMP I heard good things from colleagues who have used JMP. We did not get too far down the SPSS route before we decided to go with JMP because of price and perceived benefit from my colleague's advice. Chose JMP JMP simply excels against its competitors and the best way we know that is from our clients who have switched from other products. They recognize that their analytical capabilities are much higher with JMP then with whatever tools they used in the past. The ability to integrate … Chose JMP JMP is better with visual data representation, and as a general statistics exploration package. Technical needs like Design of Experiments are just easier to do in JMP |
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| JMP | |
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| Likelihood to Recommend | 9.0 |
| Likelihood to Renew | 10.0 |
| Usability | 8.0 |
| Availability | 10.0 |
| Performance | 10.0 |
| Support Rating | 9.2 |
| Online Training | 7.9 |
| Implementation Rating | 9.6 |
| Data Sharing and Collaboration | 4.0 |
| Data Sources | 5.0 |
| Product Scalability | 10.0 |
