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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Denodo

    Score8 out of 10
    N/ADenodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.N/A

    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
    Pricing
    DenodoJMP Pro
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    DenodoJMP Pro
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    DenodoJMP Pro
    Small Businesses
    No answers on this topic
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    Medium-sized Companies
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    SAS Enterprise Guide
    Score9.4 out of 10
    Enterprises
    No answers on this topic
    SAS Enterprise Guide
    Score9.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DenodoJMP Pro
    Likelihood to Recommend
    8.8
    (6 ratings)
    7.0
    (3 ratings)
    Usability
    8.0
    (1 ratings)
    6.0
    (1 ratings)
    Performance
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DenodoJMP Pro
    Likelihood to Recommend
    Denodo
    Denodo allows us to create and combine new views to create a
    virtual repository and APIs without a single line of code. It is excellent
    because it can present connectors with a view format for downstream consumers
    by flattening a JSON file. Reading or connecting to various sources and
    displaying a tabular view is an excellent feature. The product's technical data
    catalog is well-organized.
    Incentivized
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    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
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    Pros
    Denodo
    • Database Agnostic: You can easily connect to different environments and mash up data sets.
    • The "magic" of data virtualization: No data is created, so data is reported in near-real-time to end users.
    • It's easy to use UI for developers. You just connect to a data source, create tables, and join them to other datasets.
    Incentivized
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    JMP Statistical Discovery
    • Several types of segmentation models
    • Conjoint design
    • VERY user-friendly
    Incentivized
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    Cons
    Denodo
    • Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.
    • Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).
    • Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.
    • Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.
    Incentivized
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    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
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    Usability
    Denodo
    Denodo is very easy to use. It has a user-friendly drag and drop interface. I'm not a fan of the java platform it resides on.
    Incentivized
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    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
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    Performance
    Denodo
    Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.
    Incentivized
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    JMP Statistical Discovery
    No answers on this topic
    Alternatives Considered
    Denodo
    Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data
    Incentivized
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    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
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    Return on Investment
    Denodo
    • It is a huge advantage that we can connect to many different databases to provide data rapidly and accurately.
    • It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues.
    Incentivized
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    JMP Statistical Discovery
    • None. It's cheaper than SPSS. You could probably get by with the basic JMP package.
    Incentivized
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