Compare Dataiku Data Science Studio vs. IBM SPSS Statistics
 | Giuseppe-Naldi Principal Full Stack Data Scientist at ICTeam |
 | EzzAbdelfattah Associate Professor of Statistics at KAU |
Find out what your peers are saying about Dataiku Data Science Studio vs. IBM SPSS Statistics and other solutions. Updated: March 2021.
474,038 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 of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction."
"The most valuable feature is the set of visual data preparation tools."
"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."
"The solution is quite stable."
"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."
Cons
"The ability to have charts right from the explorer would be an improvement."
"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."
"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."
"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."
"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."
"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."
"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."
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
474,038 professionals have used our research since 2012.
Top Answer: The solution is quite stable.
Top Answer: This solution is cheaper than other competitors. It's less expensive, for example, than Alteryx or any other product.
Top Answer: When the flows get complex, there are too many data sets on them. Normal users will get confused by the influx of information. This was a problem up until recently, however, they have since resolved… more »
Top Answer: You can quickly build models because it does the work for you.
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 technical support should be improved.
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Dataiku DSS
SPSS Statistics
Dataiku DSS is the collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver their own data products more efficiently.
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.
Learn more about Dataiku Data Science Studio
Learn more about IBM SPSS Statistics
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
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
Computer Software Company27%
Comms Service Provider14%
Financial Services Firm12%
Energy/Utilities Company6%
University29%
Financial Services Firm21%
Aerospace/Defense Firm7%
Non Profit7%
Comms Service Provider25%
Computer Software Company17%
Educational Organization14%
Media Company6%
No Data Available
Small Business28%
Midsize Enterprise22%
Large Enterprise50%
Find out what your peers are saying about Dataiku Data Science Studio vs. IBM SPSS Statistics and other solutions. Updated: March 2021.
474,038 professionals have used our research since 2012.
Dataiku Data Science Studio is ranked 11th in Data Science Platforms with 4 reviews while IBM SPSS Statistics is ranked 5th in Data Science Platforms with 15 reviews. Dataiku Data Science Studio is rated 8.0, while IBM SPSS Statistics is rated 8.0. The top reviewer of Dataiku Data Science Studio writes "User interface is colorful, beautiful, and well-designed but sometimes the solution can be slow". On the other hand, the top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". Dataiku Data Science Studio is most compared with Alteryx, Databricks, KNIME, Microsoft Azure Machine Learning Studio and TIBCO Data Science, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab, TIBCO Statistica, Weka and RapidMiner. See our Dataiku Data Science Studio vs. IBM SPSS Statistics report.
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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.