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IBM SPSS Statistics vs KNIME comparison

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4,224 views|3,300 comparisons
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Read 14 KNIME reviews.
18,739 views|14,144 comparisons
Featured Review
Find out what your peers are saying about IBM SPSS Statistics vs. KNIME and other solutions. Updated: January 2022.
564,322 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
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial.""The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS.""The most valuable features are the small learning curve and its ability to hold a lot of data.""SPSS is quite robust and quicker in terms of providing you the output.""The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it.""In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions.""The features that I have found most valuable are the Bayesian statistics and descriptive statistics.""The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."

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"From a user-friendliness perspective, it's a great tool.""It can handle an unlimited amount of data, which is the advantage of using Knime.""KNIME is quite scalable, which is one of the most important features that we found.""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.""It's a coding-less opportunity to use AI. This is the major value for me.""The solution is good for teaching, since there is no need to code.""I was able to apply basic algorithms through just dragging and dropping."

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Cons
"The solution needs more planning tools and capabilities.""The technical support should be improved.""It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that.""One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated.""If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution.""Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them.""The solution could improve by providing a visual network for predictions and a self-organizing map for clustering.""I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."

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"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.""Both RapidMiner and KNIME should be made easier to use in the field of deep learning.""It could input more data acquisitions from other sources and it is difficult to combine with Python.""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.""The predefined workflows could use a bit of improvement.""There should be better documentation and the steps should be easier.""Compared to the other data tools on the market, the user interface can be improved.""If they had a more structured training model it would be very helpful."

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Pricing and Cost Advice
  • "The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
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  • "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."
  • More KNIME Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    SPSS is quite robust and quicker in terms of providing you the output.
    Top Answer: 
    You can download it for free, but if you want to enable the professional features, you can buy one license if that's all you need. But if you have many collaborators and want to add more contributors… more »
    Top Answer: 
    From an improvement standpoint, I could compare to PyCharm and see how many other things you can automate things. In PyCharm you use Python and have a lot of packages. SPSS is missing out on some of… more »
    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 »
    Ranking
    2nd
    out of 16 in Data Mining
    Views
    4,224
    Comparisons
    3,300
    Reviews
    13
    Average Words per Review
    716
    Rating
    8.0
    1st
    out of 16 in Data Mining
    Views
    18,739
    Comparisons
    14,144
    Reviews
    14
    Average Words per Review
    405
    Rating
    8.1
    Comparisons
    Also Known As
    SPSS Statistics
    KNIME Analytics Platform
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    Overview
    Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.
    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.
    Offer
    Learn more about IBM SPSS Statistics
    Learn more about KNIME
    Sample Customers
    LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
    Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
    Top Industries
    REVIEWERS
    University38%
    Financial Services Firm19%
    Aerospace/Defense Firm6%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Comms Service Provider25%
    Computer Software Company17%
    Educational Organization13%
    Government8%
    REVIEWERS
    Retailer21%
    University21%
    Comms Service Provider14%
    Government14%
    VISITORS READING REVIEWS
    Comms Service Provider22%
    Computer Software Company18%
    Financial Services Firm8%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise23%
    Large Enterprise45%
    REVIEWERS
    Small Business31%
    Midsize Enterprise31%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    Find out what your peers are saying about IBM SPSS Statistics vs. KNIME and other solutions. Updated: January 2022.
    564,322 professionals have used our research since 2012.

    IBM SPSS Statistics is ranked 2nd in Data Mining with 12 reviews while KNIME is ranked 1st in Data Mining with 14 reviews. IBM SPSS Statistics is rated 8.2, while KNIME is rated 8.2. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, the top reviewer of KNIME writes "Good workflow tools, supports Python and R integration". IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka, Alteryx, TIBCO Statistica and Anaconda, whereas KNIME is most compared with Alteryx, RapidMiner, Databricks, Weka and Microsoft Azure Machine Learning Studio. See our IBM SPSS Statistics vs. KNIME report.

    See our list of best Data Mining vendors and best Data Science Platforms vendors.

    We monitor all Data Mining 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.