Compare IBM SPSS Statistics vs. KNIME

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IBM SPSS Statistics Logo
3,675 views|2,910 comparisons
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25,477 views|19,592 comparisons
Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs. KNIME and other solutions. Updated: September 2020.
437,557 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 a modeling tool with helpful automation.The features that I have found most valuable are the Bayesian statistics and descriptive statistics.Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things.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 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.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 most valuable feature is the user interface because you don't need to write code.It has the ability to easily change any variable in our research.

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What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.This solution is easy to use and it can be used to create any kind of model.It's a coding-less opportunity to use AI. This is the major value for me.This solution is easy to use and especially good at data preparation and wrapping.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.This open-source product can compete with category leaders in ELT software.

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Cons
It could allow adding color to data models to make them easier to interpret.It could provide even more in the way of automation as there are many opportunities.I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities.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.The solution needs more planning tools and capabilities.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.This solution is not suitable for use with Big Data.

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The documentation is lacking and it could be better.The predefined workflows could use a bit of improvement.KNIME needs to provide more documentation and training materials, including webinars or online seminars.There should be better documentation and the steps should be easier.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.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.The ability to handle large amounts of data and performance in processing need to be improved.

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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.The price of this solution is a little bit high, which was a problem for my company.We think that IBM SPSS is expensive for this function.

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It's an open-source solution.The price of KNIME is quite reasonable and the designer tool can be used free of charge.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.

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Questions from the Community
Top Answer: 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.
Top Answer: We have an enterprise-level license with IBM.
Top Answer: The data preparation skills need improvement. When I compare the solution with other tools or competitors, this solution needs to simplify data preparation. The solution needs more planning tools and… more »
Top Answer: The main difference lies in the community that has KNIME because the additional modules serve a multitude of different jobs from image processing, management of ssh file systems to chemical molecule… more »
Top Answer: This solution is easy to use and it can be used to create any kind of model.
Top Answer: The price of KNIME is quite reasonable and the designer tool can be used free of charge.
Ranking
2nd
out of 16 in Data Mining
Views
3,675
Comparisons
2,910
Reviews
13
Average Words per Review
778
Avg. Rating
7.9
1st
out of 16 in Data Mining
Views
25,477
Comparisons
19,592
Reviews
5
Average Words per Review
537
Avg. Rating
8.2
Popular Comparisons
Compared 13% of the time.
Compared 39% of the time.
Compared 14% of the time.
Compared 7% of the time.
Compared 5% of the time.
Also Known As
SPSS StatisticsKNIME Analytics Platform
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IBM
Knime
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.
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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-TILDAInfocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Top Industries
REVIEWERS
University27%
Financial Services Firm18%
Analyst Firm9%
Consumer Goods Company9%
VISITORS READING REVIEWS
Computer Software Company25%
K 12 Educational Company Or School15%
Comms Service Provider14%
Media Company7%
REVIEWERS
Comms Service Provider25%
Retailer25%
Consumer Goods Company13%
Energy/Utilities Company13%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider11%
K 12 Educational Company Or School8%
Media Company6%
Find out what your peers are saying about IBM SPSS Statistics vs. KNIME and other solutions. Updated: September 2020.
437,557 professionals have used our research since 2012.
IBM SPSS Statistics is ranked 2nd in Data Mining with 13 reviews while KNIME is ranked 1st in Data Mining with 7 reviews. IBM SPSS Statistics is rated 8.0, 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 "Has good machine learning and big data connectivity but the scheduler needs improvement ". IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab, Weka, TIBCO Statistica and Google Cloud Datalab, whereas KNIME is most compared with Alteryx, RapidMiner, Weka, Dataiku Data Science Studio and H2O.ai. See our IBM SPSS Statistics vs. KNIME report.

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