Compare IBM SPSS Statistics vs. KNIME

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IBM SPSS Statistics Logo
4,143 views|3,184 comparisons
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Read 13 KNIME reviews.
21,367 views|16,076 comparisons
Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs. KNIME and other solutions. Updated: July 2021.
523,535 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
"Most of the product features are good but I particularly like the linear regression analysis.""Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files.""The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important.""You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use.""They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do.""It has the ability to easily change any variable in our research.""The most valuable feature is the user interface because you don't need to write code.""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."

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

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Cons
"I think the visualization and charting should be changed and made easier and more effective.""Technical support needs some improvement, as they do not respond as quickly as we would like.""The statistics should be more self-explanatory with detailed automated reports.""Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.""The product should provide more ways to import data and export results that are user-friendly for high-level executives.""The design of the experience can be improved.""This solution is not suitable for use with Big Data.""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."

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"The ability to handle large amounts of data and performance in processing need to be improved.""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.""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.""KNIME needs to provide more documentation and training materials, including webinars or online seminars.""The predefined workflows could use a bit of improvement.""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."

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

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Questions from the Community
Top Answer: 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.
Top Answer: In comparing the price of other products, SPSS Statistics is too expensive. Even when most of the universities in the Middle East have licenses for SPSS Statistics, they do not have licenses for the… more »
Top Answer: The solution could improve by providing a visual network for predictions and a self-organizing map for clustering.
Top Answer: The product is open-source and therefore free to use.
Top Answer: The solution is open-source and therefore cheap to use. Anyone can access it. They can just download it off the internet and start. Alteryx is way too expensive. In terms of pricing, it's always… more »
Top Answer: The user interface could be a bit better. It's currently very dated. They should look at other vendors like Alteryx that are more user friendly and modern. From a systems point of view, the tool is… more »
Ranking
2nd
out of 16 in Data Mining
Views
4,143
Comparisons
3,184
Reviews
16
Average Words per Review
693
Rating
7.9
1st
out of 16 in Data Mining
Views
21,367
Comparisons
16,076
Reviews
12
Average Words per Review
466
Rating
8.3
Popular 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
University29%
Financial Services Firm21%
Aerospace/Defense Firm7%
Non Profit7%
VISITORS READING REVIEWS
Comms Service Provider26%
Computer Software Company15%
Educational Organization13%
Government7%
REVIEWERS
Comms Service Provider18%
Retailer18%
Government18%
University18%
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company20%
Manufacturing Company8%
Financial Services Firm8%
Company Size
REVIEWERS
Small Business32%
Midsize Enterprise21%
Large Enterprise47%
REVIEWERS
Small Business31%
Midsize Enterprise35%
Large Enterprise35%
VISITORS READING REVIEWS
Small Business33%
Midsize Enterprise9%
Large Enterprise58%
Find out what your peers are saying about IBM SPSS Statistics vs. KNIME and other solutions. Updated: July 2021.
523,535 professionals have used our research since 2012.

IBM SPSS Statistics is ranked 2nd in Data Mining with 16 reviews while KNIME is ranked 1st in Data Mining with 13 reviews. IBM SPSS Statistics is rated 8.0, while KNIME is rated 8.4. 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, TIBCO Statistica, Weka, MathWorks Matlab and Alteryx, whereas KNIME is most compared with Alteryx, RapidMiner, Databricks, Dataiku Data Science Studio and Weka. See our IBM SPSS Statistics vs. KNIME report.

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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.