Compare Dataiku Data Science Studio vs. IBM SPSS Statistics

Dataiku Data Science Studio is ranked 13th in Data Science Platforms with 4 reviews while IBM SPSS Statistics is ranked 9th in Data Science Platforms with 10 reviews. Dataiku Data Science Studio is rated 7.6, 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 "Has many existing algorithms that we can use but it should have the ability to create higher-level presentations". Dataiku Data Science Studio is most compared with Alteryx, KNIME and Databricks, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka and MathWorks Matlab. See our Dataiku Data Science Studio vs. IBM SPSS Statistics report.
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Most Helpful Review
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Find out what your peers are saying about Dataiku Data Science Studio vs. IBM SPSS Statistics and other solutions. Updated: January 2020.
397,408 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
I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.The most valuable feature is the set of visual data preparation tools.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.Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors.Cloud-based process run helps in not keeping the systems on while processes are running.

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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.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.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.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.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.

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Cons
I find that it is a little slow during use. It takes more time than I would expect for operations to complete.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.The ability to have charts right from the explorer would be an improvement.Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable.Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days).There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders.

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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.The design of the experience can be improved.The product should provide more ways to import data and export results that are user-friendly for high-level executives.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.Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.The statistics should be more self-explanatory with detailed automated reports.

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Pricing and Cost Advice
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.

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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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Ranking
13th
Views
8,249
Comparisons
5,990
Reviews
4
Average Words per Review
493
Avg. Rating
7.5
9th
Views
3,417
Comparisons
2,793
Reviews
9
Average Words per Review
618
Avg. Rating
7.8
Top Comparisons
Compared 13% of the time.
Compared 12% of the time.
Also Known As
Dataiku DSSSPSS Statistics
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Dataiku
IBM
Overview

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.
Offer
Learn more about Dataiku Data Science Studio
Learn more about IBM SPSS Statistics
Sample Customers
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAutoLDB 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
Top Industries
VISITORS READING REVIEWS
Software R&D Company27%
Financial Services Firm16%
Comms Service Provider14%
Media Company8%
REVIEWERS
University33%
Financial Services Firm22%
Aerospace/Defense Firm11%
Consumer Goods11%
Find out what your peers are saying about Dataiku Data Science Studio vs. IBM SPSS Statistics and other solutions. Updated: January 2020.
397,408 professionals have used our research since 2012.
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