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Read 14 KNIME reviews.
18,739 views|14,144 comparisons
RapidMiner Logo
7,806 views|6,167 comparisons
Featured Review
Find out what your peers are saying about KNIME vs. RapidMiner and other solutions. Updated: January 2022.
563,780 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:
Pros
"It is very fast to develop solutions.""The solution is good for teaching, since there is no need to code.""This solution is easy to use and especially good at data preparation and wrapping.""What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.""The most valuable feature is the data wrangling, which is what I mainly use it for.""From a user-friendliness perspective, it's a great tool.""KNIME is quite scalable, which is one of the most important features that we found.""I was able to apply basic algorithms through just dragging and dropping."

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"RapidMiner is very easy to use.""The data science, collaboration, and IDN are very, very strong.""The best part of RapidMiner is efficiency.""It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry.""The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.""We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."

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Cons
"It could input more data acquisitions from other sources and it is difficult to combine with Python.""The documentation is lacking and it could be better.""It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end.""There should be better documentation and the steps should be easier.""The predefined workflows could use a bit of improvement.""Compared to the other data tools on the market, the user interface can be improved.""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.""Both RapidMiner and KNIME should be made easier to use in the field of deep learning."

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"I would like to see all users have access to all of the deep learning models, and that they can be used easily.""The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator.""Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there.""I think that they should make deep learning models easier.""In the Mexican or Latin American market, it's kind of pricey.""RapidMiner isn't cheap. It's a complete solution, but it's costly."

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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 »
    Top Answer: 
    We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is… more »
    Top Answer: 
    RapidMiner isn't cheap. It's a complete solution, but it's costly. The pricing model is quite clear, but it's an expensive solution because it's powerful. When you have a powerful platform, you need… more »
    Top Answer: 
    Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there.
    Ranking
    3rd
    Views
    18,739
    Comparisons
    14,144
    Reviews
    14
    Average Words per Review
    405
    Rating
    8.1
    6th
    Views
    7,806
    Comparisons
    6,167
    Reviews
    8
    Average Words per Review
    764
    Rating
    8.6
    Comparisons
    Also Known As
    KNIME Analytics Platform
    Learn More
    Overview
    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.

    RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

    Offer
    Learn more about KNIME
    Learn more about RapidMiner
    Sample Customers
    Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
    PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
    Top Industries
    REVIEWERS
    Retailer21%
    University21%
    Comms Service Provider14%
    Government14%
    VISITORS READING REVIEWS
    Comms Service Provider22%
    Computer Software Company18%
    Financial Services Firm8%
    Manufacturing Company8%
    REVIEWERS
    University38%
    Energy/Utilities Company13%
    Educational Organization13%
    Engineering Company13%
    VISITORS READING REVIEWS
    Comms Service Provider23%
    Computer Software Company20%
    Government7%
    University7%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise31%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    REVIEWERS
    Small Business53%
    Midsize Enterprise20%
    Large Enterprise27%
    VISITORS READING REVIEWS
    Small Business37%
    Midsize Enterprise2%
    Large Enterprise61%
    Find out what your peers are saying about KNIME vs. RapidMiner and other solutions. Updated: January 2022.
    563,780 professionals have used our research since 2012.

    KNIME is ranked 3rd in Data Science Platforms with 14 reviews while RapidMiner is ranked 6th in Data Science Platforms with 6 reviews. KNIME is rated 8.2, while RapidMiner is rated 8.8. The top reviewer of KNIME writes "Good workflow tools, supports Python and R integration". On the other hand, the top reviewer of RapidMiner writes "Extensive features, Turbo Prep, Auto ML, good GUI and good stability". KNIME is most compared with Alteryx, Databricks, Weka, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas RapidMiner is most compared with Alteryx, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, DataRobot and Tableau. See our KNIME vs. RapidMiner 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.