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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    JMP Pro

    Score6 out of 10
    N/AJMP Pro offers all the capabilities of JMP, plus advanced features for more sophisticated analysis including predictive modeling and cross-validation techniques.N/A

    KNIME Analytics Platform

    Score7.8 out of 10
    N/AKNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

    $0

    per month

    Pricing
    JMP ProKNIME Analytics Platform
    Editions & Modules
    No answers on this topic
    KNIME Community Hub Personal Plan
    $0
    KNIME Analytics Platform
    $0
    KNIME Community Hub Team Plan
    €99
    per month 3 users
    KNIME Business Hub
    From €35,000
    per year
    Offerings
    Pricing Offerings
    JMP ProKNIME Analytics Platform
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    JMP ProKNIME Analytics Platform
    Considered Both Products
    JMP Statistical Discovery
    No answer on this topic
    KNIME
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    94%
    Would buy again
    16 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    No answers on this topic
    94%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    83%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    No answers on this topic
    93%
    Implementation went as expected
    14 Answers
    Features
    JMP ProKNIME Analytics Platform
    Platform Connectivity
    Comparison of Platform Connectivity features of JMP Pro and KNIME Analytics Platform
    Feature
    JMP Pro
    -
    Ratings
    KNIME Analytics Platform
    9.2
    19 Ratings
    9% above category average
    Connect to Multiple Data Sources00 Ratings9.619 Ratings
    Extend Existing Data Sources00 Ratings10.010 Ratings
    Automatic Data Format Detection00 Ratings9.119 Ratings
    MDM Integration00 Ratings7.98 Ratings
    Data Exploration
    Comparison of Data Exploration features of JMP Pro and KNIME Analytics Platform
    Feature
    JMP Pro
    -
    Ratings
    KNIME Analytics Platform
    8.1
    18 Ratings
    3% below category average
    Visualization00 Ratings8.018 Ratings
    Interactive Data Analysis00 Ratings8.118 Ratings
    Data Preparation
    Comparison of Data Preparation features of JMP Pro and KNIME Analytics Platform
    Feature
    JMP Pro
    -
    Ratings
    KNIME Analytics Platform
    8.3
    19 Ratings
    1% above category average
    Interactive Data Cleaning and Enrichment00 Ratings9.019 Ratings
    Data Transformations00 Ratings9.519 Ratings
    Data Encryption00 Ratings7.47 Ratings
    Built-in Processors00 Ratings7.48 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of JMP Pro and KNIME Analytics Platform
    Feature
    JMP Pro
    -
    Ratings
    KNIME Analytics Platform
    8.0
    18 Ratings
    6% below category average
    Multiple Model Development Languages and Tools00 Ratings9.517 Ratings
    Automated Machine Learning00 Ratings8.117 Ratings
    Single platform for multiple model development00 Ratings9.318 Ratings
    Self-Service Model Delivery00 Ratings5.08 Ratings
    Model Deployment
    Comparison of Model Deployment features of JMP Pro and KNIME Analytics Platform
    Feature
    JMP Pro
    -
    Ratings
    KNIME Analytics Platform
    7.3
    11 Ratings
    16% below category average
    Flexible Model Publishing Options00 Ratings8.611 Ratings
    Security, Governance, and Cost Controls00 Ratings5.94 Ratings
    Best Alternatives
    JMP ProKNIME Analytics Platform
    Small Businesses
    No answers on this topic
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    SAS Enterprise Guide
    Score9.4 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    SAS Enterprise Guide
    Score9.4 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    JMP ProKNIME Analytics Platform
    Likelihood to Recommend
    7.0
    (3 ratings)
    9.6
    (22 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.5
    (4 ratings)
    Usability
    6.0
    (1 ratings)
    9.0
    (3 ratings)
    Support Rating
    -
    (0 ratings)
    9.3
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (2 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    JMP ProKNIME Analytics Platform
    Likelihood to Recommend
    JMP Statistical Discovery
    JMP Pro is perfectly suited for statistical analysis but users should have some statistical knowledge before using it since there may be some terms/functions in the software that are not widely used in other fields. No prior coding experience is needed to use JMP Pro. However, most people doing data processing would prefer to code their analysis.
    Incentivized
    Read full review
    KNIME
    KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.
    Incentivized
    Read full review
    Pros
    JMP Statistical Discovery
    • Several types of segmentation models
    • Conjoint design
    • VERY user-friendly
    Incentivized
    Read full review
    KNIME
    • Summarize instrument level financial data with relevant statistics
    • Map transactions from core extracts to groups of like transactions using rule engines
    • Machine learning using random forests and other techniques to analyze data and identify correlations for use in predictive models
    • Fill out sampling data from averages.
    Read full review
    Cons
    JMP Statistical Discovery
    • JMP Pro is a really powerful tool for doing statistical analysis. Although the click environment does not require coding experience, new learners will still need to take a long time to know the parameters in the function before performing any analysis.
    • The output from JMP Pro analysis (regression analysis) is not always easy to understand, especially when the parameters are programmed differently with the other similar software.
    Incentivized
    Read full review
    KNIME
    • It does not have proper visualization.
    • Some other BI tools (QlikView) have much easier functions for data interaction.
    • Some other BI tools (Tableau) can be set up much faster.
    • It is not an easy tool to use for non-tech savvy staff.
    Incentivized
    Read full review
    Likelihood to Renew
    JMP Statistical Discovery
    No answers on this topic
    KNIME
    We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
    Read full review
    Usability
    JMP Statistical Discovery
    JMP Pro is a great tool, but it's not user friendly. JMP Pro is something that requires a lot of trial and error to figure out. Minitab is far more user friendly and their help guides walk new users how to do everything. JMP Pro requires taking the time to do the STIPs course, or brute force figuring it out.
    Incentivized
    Read full review
    KNIME
    KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows
    Incentivized
    Read full review
    Support Rating
    JMP Statistical Discovery
    No answers on this topic
    KNIME
    KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.
    Incentivized
    Read full review
    Implementation Rating
    JMP Statistical Discovery
    No answers on this topic
    KNIME
    KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
    Incentivized
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    Alternatives Considered
    JMP Statistical Discovery
    I use both JMP Pro and Minitab. JMP Pro works great for doing the work that needs live edit functionable, and the ability to filter charts on the go. Minitab is what I use for capability analysis and MSAs as the overall UI is much cleaner, and is far nicer to present to management than JMP Pro.
    Incentivized
    Read full review
    KNIME
    Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].
    Incentivized
    Read full review
    Return on Investment
    JMP Statistical Discovery
    • None. It's cheaper than SPSS. You could probably get by with the basic JMP package.
    Incentivized
    Read full review
    KNIME
    • It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
    • Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
    Incentivized
    Read full review
    ScreenShots

    KNIME Analytics Platform Screenshots

    Screenshot of the KNIME Modern UI. This is the the new user interface for the KNIME Analytics Platform that is available with improved look and feel as the default interface, from KNIME Analytics Platform version 5.1.0 release.Screenshot of the KNIME Analytics Platform user interface - the KNIME Workbench - displays the current, open workflow(s). Here is the general user interface layout — application tabs, side panel, workflow editor and node monitor.Screenshot of the KNIME user interface elements — workflow toolbar, node action bar, rename components and metanodes.Screenshot of the entry page, which is displayed by clicking the Home tab. From here users can; check out example workflows to get started, access a local workspace, or even start a new workflow by clicking the yellow plus button.Screenshot of the status of a KNIME node, which shows whether it's configured, not configured, executed, or has an error.Screenshot of the KNIME node action bar, which can be used to configure, execute, cancel, reset, and - when available - open the view.