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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    JMP

    Score9.8 out of 10
    N/AJMP® 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

    LibreOffice

    Score9 out of 10
    N/ALibreOffice is a free and open-source Office Suite from The Document Foundation, presented as the successor to OpenOffice.org. The suite includes Writer (word processing), Calc (spreadsheets), Impress (presentations), Draw (vector graphics and flowcharts), Base (databases), and Math (formula editing).

    $0

    free and open source under the Mozilla Public License v2.0

    Pricing
    JMPLibreOffice
    Editions & Modules
    JMP
    $1320
    per year per user
    No answers on this topic
    Offerings
    Pricing Offerings
    JMPLibreOffice
    Free Trial
    YesNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsBulk discounts available.—
    More Pricing Information
    Community Pulse
    JMPLibreOffice
    Considered Both Products
    JMP Statistical Discovery
    No answer on this topic
    The Document Foundation
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    9 Answers
    92%
    Would buy again
    12 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    89%
    Happy with the feature set
    8 Answers
    92%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    6 Answers
    100%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    6 Answers
    92%
    Implementation went as expected
    12 Answers
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    User Ratings
    JMPLibreOffice
    Likelihood to Recommend
    9.8
    (30 ratings)
    9.0
    (33 ratings)
    Likelihood to Renew
    10.0
    (16 ratings)
    9.0
    (1 ratings)
    Usability
    8.8
    (7 ratings)
    9.0
    (6 ratings)
    Availability
    10.0
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    10.0
    (1 ratings)
    6.0
    (1 ratings)
    Support Rating
    9.2
    (7 ratings)
    7.3
    (6 ratings)
    Online Training
    7.9
    (3 ratings)
    -
    (0 ratings)
    Implementation Rating
    9.6
    (2 ratings)
    9.0
    (1 ratings)
    Data Sharing and Collaboration
    4.0
    (1 ratings)
    -
    (0 ratings)
    Data Sources
    5.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    -
    (0 ratings)
    5.0
    (1 ratings)
    Product Scalability
    10.0
    (1 ratings)
    7.0
    (1 ratings)
    User Testimonials
    JMPLibreOffice
    Likelihood to Recommend
    JMP Statistical Discovery
    It is perfectly suited for statistical analyses, but I would not recommend JMP for users who do not have a statistical background. As previously stated, the learning curve is exceptionally steep, and I think that it would prove to be too steep for those without statistical background/knowledge
    Read full review
    The Document Foundation
    If you're working with numbers, LibreOffice doesn't get in your way and try to make changes as it sees fit, forcing you to repeatedly go back and undo processes you didn't want, didn't ask for, and that have no place in the document you are trying to produce. All I want to do is assemble the data, process it for the task at hand, and then print it for distribution. LibreOffice allows me to do that.
    Read full review
    Pros
    JMP Statistical Discovery
    • JMP is designed from the ground-up to be a tool for analysts who do not have PhDs in Statistics without in anyway "dumbing down" the level of statistical analysis applied. In fact, JMP operationalizes the most advanced statistical methods. JMP's design is centred on the JMP data table and dialog boxes. It is data focused not jargon-focussed. So, unlike other software where you must choose the correct statistical method (eg. contingency, ANOVA, linear regression, etc.), with JMP you simply assign the columns in a dialog into roles in the analysis and it chooses the correct statistical method. It's a small thing but it reflects the thinking of the developers: analysts know their data and should only have to think about their data. Analyses should flow from there.
    • JMP makes most things interactive and visual. This makes analyses dynamic and engaging and obviates the complete dependence on understanding p-values and other statistical concepts(though they are all there) that are often found to be foreign or intimidating.
    • One of the best examples of this is JMP's profiler. Rather than looking at static figures in a spreadsheet, or a series of formulas, JMP profiles the formulas interactively. You can monitor the effect of changing factors (Xs) and see how they interact with other factors and the responses. You can also specify desirability (maximize, maximize, match-target) and their relative importances to find factor settings that are optimal. I have spent many lengthy meetings working with the profiler to review design and process options with never a dull moment.
    • The design of experiments (DOE) platform is simply outstanding and, in fact, the principal developers of it have won several awards. Over the last 15 years, using methods broadly known as an "exchange algorithm," JMP can create designs that are far more flexible than conventional designs. This means, for example, that you can create a design with just the interactions that are of interest; you can selectively choose those interactions that are not of interest and drop collecting their associated combinations.
    • Classical designs are rigid. For example, a Box-Benhken or other response surface design can have only continuous factors. What if you want to investigate these continuous factors along with other categorical factors such as different categorical variables such as materials or different furnace designs and look at the interaction among all factors? This common scenario cannot be handled with conventional designs but are easily accommodated with JMP's Custom DOE platform.
    • The whole point of DOE is to be able to look at multiple effects comprehensively but determine each one's influence in near or complete isolation. The custom design platform, because it produces uniques designs, provides the means to evaluate just how isolated the effects are. This can be done before collecting data because this important property of the DOE is a function of the design, not the data. By evaluating these graphical reports of the quality of the design, the analyst can make adjustments, adding or reducing runs, to optimize cost, effort and expected learnings.
    • Over the last number of releases of JMP, which appear about every 18 months now, they have skipped the dialog boxes to direct, drag-and-drop analyses for building graphs and tables as well as Statistical Process Control Charts. Interactivity such as this allows analysts to "be in the moment." As with all aspects of JMP, they are thinking of their subject matter without the cumbersomeness associated with having to think about statistical methods. It's rather like a CEO thinking about growing the business without having to think about every nuance and intricacy of accounting. The statistical thinking is burned into the design of JMP.
    • Without data analysis is not possible. Getting data into a situation where it can be analyzed can be a major hassle. JMP can pull data from a variety of sources including Excel spreadsheets, CSV, direct data feeds and databases via ODBC. Once the data is in JMP it has all the expected data manipulation capabilities to form it for analysis.
    • Back in 2000 JMP added a scripting language (JMP Scripting Language or JSL for short) to JMP. With JSL you can automate routine analyses without any coding, you can add specific analyses that JMP does not do out of the box and you can create entire analytical systems and workflows. We have done all three. For example, one consumer products company we are working with now has a need for a variant of a popular non-parametric analysis that they have employed for years. This method will be found in one of the menus and appear as if it were part of JMP to begin with. As for large systems, we have written some that are tens of thousands of lines that take the form of virtual labs and process control systems among others.
    • JSL applications can be bundled and distributed as JMP Add-ins which make it really easy for users to add to their JMP installation. All they need to do is double-click on the add-in file and it's installed. Pharmaceutical companies and others who are regulated or simply want to control the JMP environment can lock-down JMP's installation and prevent users from adding or changing functionality. Here, add-ins can be distributed from a central location that is authorized and protected to users world-wide.
    • JMP's technical support is second to none. They take questions by phone and email. I usually send email knowing that I'll get an informed response within 24 hours and if they cannot resolve a problem they proactively keep you informed about what is being done to resolve the issue or answer your question.
    Read full review
    The Document Foundation
    • Tools like speeling, grammar, and thesaurus are super fast and intuitive
    • Read-only content can be created by adding a section and password
    • The right-click menus are very intuitive and change on the fly with what is needed depending on the content and situation
    • Documents can be saved natively as *.docx or *.xlsx
    Incentivized
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    Cons
    JMP Statistical Discovery
    • In general JMP is much better fit for a general "data mining" type application. If you want a specific statistics based toolbox, (meaning you just want to run some predetermined test, like testing for a different proportion) then JMP works, but is not the best. JMP is much more suited to taking a data set and starting from "square 1" and exploring it through a range of analytics.
    • The CPK (process capability) module output is shockingly poor in JMP. This sticks out because, while as a rule everything in JMP is very visual and presentable, the CPK graph is a single-line-on-grey-background drawing. It is not intuitive, and really doesn't tell the story. (This is in contrast with a capability graph in Minitab, which is intuitive and tells a story right off.) This is also the case with the "guage study" output, used for mulivary analysis in a Six Sigma project. It is not intuitive and you need to do a lot of tweaking to make the graph tell you the story right off. I have given this feedback to JMP, and it is possible that it will be addressed in future versions.
    • I've never heard of JMP allowing floating licenses in a company. This will ALWAYS be a huge sticking point for small to middle size companies, that don't have teams people dedicated to analytics all day. If every person that would do problem solving needs his/her own seat, the cost can be prohibitive. (It gets cheaper by the seat as you add licenses, but for a small company that might get no more than 5 users, it is still a hard sell.)
    Read full review
    The Document Foundation
    • It doesn't provide all the functions it should with a paid subscription.
    • There are features that are only available with Premium and I have premium and they are still not available.
    • Paying for the premium version doesn't provide additional services than free version
    • Customer service is nonresponsive and has been nonresponsive for years even prior to COVID.
    Read full review
    Likelihood to Renew
    JMP Statistical Discovery
    JMP has been good at releasing updates and adding new features and their support is good. Analytics is quick and you don't need scripting/programming experience. It has been used organization wide, and works well in that respect. Open source means that there are concerns regarding timely support. Cheap licensing and easy to maintain.
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    The Document Foundation
    We use it consistently and have a lot of documents in the OpenDocument format so it will be necessary to use LibreOffice or a compatible product such as Openoffice in the future to be able to open these files. Because the license fee for Libreoffice is zero it is not very costly to keep using it - the costs are mostly for keeping it installed on the office PCs and regularly updated, and solving employee issues with the user support.
    Incentivized
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    Usability
    JMP Statistical Discovery
    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
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    The Document Foundation
    For all of the reasons in the foregoing evaluation. Its menus are clean, intuitive and straightforward. Any function I need to use can be accessed via keystrokes, without having to stop, move my hand to the mouse, deal with it, and then get back to the keyboard to proceed. It helps me keep my mind on my work and not worry about dealing with the mouse all the time.
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    Reliability and Availability
    JMP Statistical Discovery
    No answers on this topic
    The Document Foundation
    Libreoffice is a desktop app not requiring any server part so it is always available when the PC is working normally. Installing it on another machine if one PC fails is very quick and easy. This is a non-issue.
    Incentivized
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    Performance
    JMP Statistical Discovery
    No answers on this topic
    The Document Foundation
    For big/imported tables or text documents with images loaded from the internet it is sometimes getting very slow, RAM and CPU intensive, and sometimes even hangs due to some memory leaks or other bugs. This is a long-term problem and is still not resolved perfectly.
    Incentivized
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    Support Rating
    JMP Statistical Discovery
    Support is great and give ease of contact, rapid response, and willingness to 'stick to the task' until resolution or acknowledgement that the problem would have to be resolved in a future build. Basically, one gets the very real sense that another human being is sensitive to your problems - great or small.
    Incentivized
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    The Document Foundation
    Support is not officially offered. However, you can find answers to any usage questions or trouble-shooting online easily, typically starting with a Google search. (I believe that all forums / tips for OpenOffice apply equally to LibreOffice, and vice versa.) While Microsoft Office, for example, officially includes support, I find that typically you end up going to a Google search in any case. So, this is not really a downside. However, in all these cases, you end up doing a lot of figuring things out for yourself.
    Incentivized
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    Online Training
    JMP Statistical Discovery
    I have not used your online training. I use JMP manuals and SAS direct help.
    Read full review
    The Document Foundation
    No answers on this topic
    Implementation Rating
    JMP Statistical Discovery
    No answers on this topic
    The Document Foundation
    Generally easy to perform, issues are how to ensure regular automatic updates on Mac OS X. Fortunatly we have only a few machines with OS X run by management and we can do these updates manually occasionally. Windows updates are quite easy with the support of third party software such as Ninite or Chocolatey, and Linux updates are super-easy thanks to the package manager (apt-get).
    Incentivized
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    Alternatives Considered
    JMP Statistical Discovery
    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
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    The Document Foundation
    I think it is fair to say this:
    • If you are looking for a well-rounded, GNU-licensed product that will encompass word processing, spreadsheets, presentations, and database then LibreOffice is probably all you need.
    • For online collaboration, links with cloud storage, and more robust support, Microsoft Office 365 and Google Docs are probably what you or your organization needs.
    • LibreOffice is at its best for regular document creation and spreadsheet management. It is more cumbersome when it comes to fonts but also when it comes to linkages with cloud-based services. It is there, but you need some more computer knowledge to make it work.
    • There are other free alternatives, most notably Apache Open Office, which is also a very good alternative if you do not like LibreOffice.
    Having said that, I honestly think off-line computers or laptops used off-site can certainly benefit from having LibreOffice installed.
    Incentivized
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    Scalability
    JMP Statistical Discovery
    No answers on this topic
    The Document Foundation
    With more users using it in the company there are more cases when a simultaneous editing of the same document is needed and this feature is lacking in Libreoffice even though the files concerned are shared and synced by some solution (we use ownCloud). Google Docs or MS Office365 via Sharepoint/Onedrive offer a better function for this.
    Incentivized
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    Return on Investment
    JMP Statistical Discovery
    • ROI: Even if the cost can be high, the insights you get out of the tool would definitely be much more valuable than the actual cost of the software. In my case, most of the results of your analysis were shown to the client, who was blown away, making the money spent well worth for us.
    • Potential negative: If you are not sure your team will use it, there's a chance you will just waste money. Sometimes the IT department (usually) tries to deploy a better tool for the entire organization but they keep using the old tool they are used too (most likely MS Excel).
    Incentivized
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    The Document Foundation
    • I am able to quickly create and edit word processing documents and spreadsheets which are for all intents and purposes equivalent to documents I could create and edit in other tools such as Microsoft Office and Google Docs/Sheets.
    • Lack of an online portal for sharing documents necessitates the use of Google Sheets for automation/integration. Ideal would be an all-in-one solution.
    • Having open-source software that provides common functionality eliminates the need for expensive licenses.
    • Lack of dedicated support is negligible. Most issues can be resolved using online search.
    Incentivized
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    ScreenShots

    JMP Screenshots

    Screenshot of in JMP, how all graphical displays and the data table are linked.Screenshot of a few designed experiments, for more understanding and maximum impact. Users can understand cause and effect using statistically designed experiments — even with limited resources.Screenshot of an example of Predictive Modeling in JMP Pro's Prediction Profiler, used to build better models for more confident decision making.Screenshot of example outputs, built with tools designed for quality and reliability.