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KNIME vs TIBCO Data Science comparison

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Read 14 KNIME reviews.
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Featured Review
Hemant Addal
Use TIBCO Data Science? Share your opinion.
Find out what your peers are saying about KNIME vs. TIBCO Data Science and other solutions. Updated: January 2022.
566,121 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"The most valuable feature is the data wrangling, which is what I mainly use it for.""All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.""KNIME is quite scalable, which is one of the most important features that we found.""The solution is good for teaching, since there is no need to code.""This solution is easy to use and it can be used to create any kind of model.""It can handle an unlimited amount of data, which is the advantage of using Knime.""The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.""From a user-friendliness perspective, it's a great tool."

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"The most valuable feature is the ease of setting up visualizations.""The most valuable feature is the performance."

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"Both RapidMiner and KNIME should be made easier to use in the field of deep learning.""There should be better documentation and the steps should be easier.""It could input more data acquisitions from other sources and it is difficult to combine with Python.""KNIME needs to provide more documentation and training materials, including webinars or online seminars.""The documentation is lacking and it could be better.""There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool.""I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script.""Compared to the other data tools on the market, the user interface can be improved."

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"The scripting for customization could be improved.""I would like the visualization for the map of countries to be more easily configurable."

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Pricing and Cost Advice
  • "KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."
  • "The price of KNIME is quite reasonable and the designer tool can be used free of charge."
  • "It's an open-source solution."
  • "The price for Knime is okay."
  • "At this time, I am using the free version of Knime."
  • "This is an open-source solution that is free to use."
  • "There is a Community Edition and paid versions available."
  • "KNIME assets are stand alone, as the solution is open source."
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    Questions from the Community
    Top Answer: 
    I was able to apply basic algorithms through just dragging and dropping.
    Top Answer: 
    KNIME assets are stand alone, as the solution is open source. I have not looked into their enterprise level application costs. While cost is a parameter, I would definitely consider other options… more »
    Top Answer: 
    I would prefer to have more connectivity. The user documentation is insufficient. I would like to see more enterprise level application. There are high end features which should appear, the MLOps… more »
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    Also Known As
    KNIME Analytics Platform
    Alpine Data Chorus
    Learn More
    KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.

    TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

    Learn more about KNIME
    Learn more about TIBCO Data Science
    Sample Customers
    Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
    Havas Media, Tipping Point Community, eviCore
    Top Industries
    Comms Service Provider14%
    Comms Service Provider22%
    Computer Software Company18%
    Financial Services Firm8%
    Manufacturing Company8%
    Computer Software Company27%
    Comms Service Provider20%
    Manufacturing Company10%
    Pharma/Biotech Company6%
    Company Size
    Small Business31%
    Midsize Enterprise31%
    Large Enterprise38%
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    No Data Available
    Find out what your peers are saying about KNIME vs. TIBCO Data Science and other solutions. Updated: January 2022.
    566,121 professionals have used our research since 2012.

    KNIME is ranked 3rd in Data Science Platforms with 14 reviews while TIBCO Data Science is ranked 17th in Data Science Platforms with 2 reviews. KNIME is rated 8.2, while TIBCO Data Science is rated 7.6. The top reviewer of KNIME writes "Good workflow tools, supports Python and R integration". On the other hand, the top reviewer of TIBCO Data Science writes "Good performance, reporting, and data visualization". KNIME is most compared with Alteryx, RapidMiner, Databricks, Weka and Microsoft Azure Machine Learning Studio, whereas TIBCO Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio, Alteryx, Microsoft Azure Machine Learning Studio and Domino Data Science Platform. See our KNIME vs. TIBCO Data Science report.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.