JMP vs. Megaladata

JMP

Megaladata

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
JMP	Score 9.2 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
Megaladata	Score 0.0 out of 10	N/A	Megaladata is a low code platform for data analysis designed to make advanced analytics accessible. Visual design of complex data analysis models with no involvement of the IT department and no need for programming. Over 60 ready-to-use processing components. Integration with various sources. Processes large datasets through in-memory computing and parallelism. Reusable components that facilitate accumulation of business…	$0.99 per hour

Pricing

JMP

Megaladata

Editions & Modules

JMP: $1320
per year per user

Cloud: $0.99
per hour
Team: starts at $21900
per year for small teams of 5-10 people
Standard: starts at $33300
per year for small teams of 5-20 people
Enterprise: starts at $78000
per year for large companies and complex projects

Offerings

Pricing Offerings
JMP	Megaladata
Free Trial
Yes	Yes
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

Bulk discounts available.

-Community Edition (Desktop, non-commercial use): Free -Personal (Desktop): $399/year -Team (Server): $21900/year -Standard (Server): $33300/year -Enterprise (Server): $78000/year

More Pricing Information

Community Pulse
	JMP	Megaladata
Considered Both Products	JMP Verified User Anonymous Chose JMP Much better than Excel for deep data dives, but also much steeper learning curve. And the cost is significantly higher - Excel is provided by default, but we have to request a JMP license each year. Incentivized Helpful? RM Ryan McLean Research Analyst 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 … Incentivized Helpful? Madalyn Lynch Grant Proposal Specialist Chose JMP I learned Statistical Analysis in JMP and am therefore not overly familiar with SAS. Incentivized Helpful? Verified User Anonymous Chose JMP JMP is superior to the MS Excel product in its graphical presentation and graphical exploration platforms. It has minor deficiencies in the lack of a 'goal seek' formula (although one can sort of get to this using the simulation platforms in some of the higher level ML … Incentivized Helpful? Akshaya Bhardwaj Consultant Chose JMP We just needed to get the output that contains the statistical output, graphs but no programming. Incentivized Helpful? Shelby Bowden Graduate Research Assistant 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 … Incentivized Helpful? Thibaut Angevin Senior Scientist 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. Incentivized Helpful? Gabriel Chiararia Marketing Analytics Consultant 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. Incentivized Helpful? Verified User Anonymous Chose JMP I have only used STATA as a statistical package, and they are completely different tools. JMP has a much better layout and ease of use, but may not be as powerful as STATA for advanced processes. Overall speed and ease of use makes it like a combination of ms excel and stata … Incentivized Helpful? Verified User Anonymous Chose JMP For what it does, it has better value and is easier to train other users to use. Incentivized Helpful? Verified User Anonymous Chose JMP We actually use both JMP and IBM SPSS, but I think JMP's complexity lends itself to more in-depth statistical analyses. SPSS is designed for that as well, but we tend to use it more for quicker analyses, and we have found that JMP is far more powerful. Helpful? Verified User Anonymous Chose JMP Minitab, MODE. JMP is more user-friendly, interactive, and visual, with larger variety of analysis and tools. DOE platform itself is superior to any other software, instead of fitting the problem to classical design, the design is fitted to any problem and constraints. Helpful? TP Trevor Plaisted MTS Process Engineer 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 … Helpful? Verified User Anonymous Chose JMP Compared to: MSExcel - Useful from engineering data analysis perspective Matlab - cost/ expensive licensing Helpful? Ruth Wirawan Module & Technology Reliability Engineer 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. Helpful? Michael Morris Data Analyst 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 … Helpful? Camilo Silva Quality and Reliability Engineering Intern, Manufacturing, Intel Chose JMP Well, JMP is excellent for statistical analysis. So, this product it is well used for statistical analysis and data analytics. Helpful? Verified User Anonymous Chose JMP As I stated before, you can use Excel to do many similar things to JMP; you can even use SAS to create graphs without having to do any sort of exporting. If you use SAS, however, you know these graphs are hideous, and sometimes using an Excel graphs makes you look like you are … Helpful? Jaimin Patel Bioinformatician Chose JMP JMP is fast and powerful but little costly than others. But good return for money. Helpful? MD Mark Davis Chief Science Officer Chose JMP Preference to JMP is driven more by my personal affinity for SAS and its application capabilities. Helpful? Adam Smith Marketing Analyst 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. Helpful? Wayne Levin President 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 … Helpful? Verified User Anonymous Chose JMP JMP is more powerful in terms of data graphing, correlation analysis, profiler capability, and DOE functionality. Helpful? Eric Burton Continuous improvement Manager 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 Helpful? JH Jason Hill Process Engineering Manager Chose JMP MS Excel with AnalysisToolPak provides a home-grown solution, but requires a high degree of upkeep and is difficult to hand off. Minitab is the closes competitor, but JMP is better suited to the production environment, roughly equivalent in price, and has superior support. Incentivized Helpful?	Megaladata No answer on this topic

Best Alternatives
	JMP	Megaladata
Small Businesses	IBM SPSS Statistics Score 7.8 out of 10	IBM SPSS Statistics Score 7.8 out of 10
Medium-sized Companies	Alteryx Platform Score 8.9 out of 10	Posit Score 10.0 out of 10
Enterprises	Alteryx Platform Score 8.9 out of 10	Posit Score 10.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	JMP	Megaladata
Likelihood to Recommend	9.0 (0 ratings)	- (0 ratings)
Likelihood to Renew	10.0 (0 ratings)	- (0 ratings)
Usability	8.0 (0 ratings)	- (0 ratings)
Availability	10.0 (0 ratings)	- (0 ratings)
Performance	10.0 (0 ratings)	- (0 ratings)
Support Rating	9.2 (0 ratings)	- (0 ratings)
Online Training	7.9 (0 ratings)	- (0 ratings)
Implementation Rating	9.6 (0 ratings)	- (0 ratings)
Product Scalability	10.0 (0 ratings)	- (0 ratings)

User Testimonials
	JMP	Megaladata
Likelihood to Recommend	Many organizations have seen their analytical capabilities, and the results from them, plateau. Of these, we've observed, that most of them didn't appreciate that they could do (even) better. These companies should definitely consider JMP. Any company that is research-based can benefit from accelerating their research, learning more in less time, effort and cost, with JMP's tools. Basically, any organization that is hungry enough for improvement to seek out better ways is suitable for JMP. Those who are happy with their current performance are not likely to consider the changes, though they were not major impediments by our clients, required. Wayne Levin President Read full review	No answers on this topic
Pros	Graphs are more detail-oriented and contain statistical inferences. Everything is drag and drop. Pretty much easy to use and handle and also to learn. Importing and exporting the results are easy and they can be attached with any other tool for processing. Incentivized Akshaya Bhardwaj Consultant Read full review	No answers on this topic
Cons	Loading a large amount of data is very tedious as it takes a lot of time and it crashes very frequently. I dislike the limited options they have in terms of statistical models or analysis tools. Variable value designation is a big problem in JMP, the software fails to recognize the type of data when it comes to the numeric value. Incentivized Verified User Anonymous Read full review	No answers on this topic
Likelihood to Renew	I've mentioned this earlier, but the licensing agreements are very prohibitive. I work with a company where my role has become less and less doing my own analytics and more and more trying to help other people in that role. As we are bringing more people "up to speed" it's hard to justify licenses for 2-3 people when they aren't full time, Six Sigma black belts just looking at stats all day. A floating license option would make this a no-brainer, since these people could continue their other work and add JMP usage as they grow their skills, but this is not something JMP/SAS has offered. Eric Burton Continuous improvement Manager Read full review	No answers on this topic
Usability	The GUI interface makes it easier to generate plots and find statistics without having to write code. The JSL scripting is a bit of a steep learning curve but does give you more ability to customize your analysis. Overall, I would recommend JMP as a good product for overall usability. Incentivized Verified User Anonymous Read full review	No answers on this topic
Support Rating	The helpful tips are great for new users. I am always able to find solutions to a tool I am working with through the hep section. And my area has a users group that meets each quarter to share ideas and view upcoming JMP revisions. Incentivized Verified User Anonymous Read full review	No answers on this topic
Online Training	I have not used your online training. I use JMP manuals and SAS direct help. MD Mark Davis Chief Science Officer Read full review	No answers on this topic
Alternatives Considered	We actually use both JMP and IBM SPSS, but I think JMP's complexity lends itself to more in-depth statistical analyses. SPSS is designed for that as well, but we tend to use it more for quicker analyses, and we have found that JMP is far more powerful. Verified User Anonymous Read full review	No answers on this topic
Return on Investment	JMP has resulted in literally millions of dollars in ROI due to identification of correctable errors. Use of JMP control charts JMP has greatly simplified and improved interpretation of Lean, FMEA, and PDSA type analyses. Use of JMP has enable the testing and subsequent selection of 'best practices' saving uncounted hours in false starts based on 'collective experience'. The down side is that JMP is not a 'magic box', one still has to take care in applying the tools properly. Moreover, time-consuming approaches using JMP may still be the 'order of the day', because the service (even power user) is unaware of significant shortcuts available for free on the JMP community website. Incentivized Verified User Anonymous Read full review	No answers on this topic
ScreenShots	JMP Screenshots	Megaladata Screenshots