Compare IBM SPSS Statistics vs. IBM Watson Studio

IBM SPSS Statistics is ranked 10th in Data Science Platforms with 5 reviews while IBM Watson Studio is ranked 9th in Data Science Platforms with 3 reviews. IBM SPSS Statistics is rated 8.0, while IBM Watson Studio is rated 8.4. The top reviewer of IBM SPSS Statistics writes "Anomaly detection, with a useful algorithm handbook, but it's not scalable". On the other hand, the top reviewer of IBM Watson Studio writes "It has greatly improved the performance because it is standardized across the company". IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab and Weka, whereas IBM Watson Studio is most compared with IBM SPSS Modeler, Microsoft Azure Machine Learning Studio and Amazon SageMaker.
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Most Helpful Review
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: November 2019.
384,147 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
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.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.Most of the product features are good but I particularly like the linear regression analysis.It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation.The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis.

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The solution is very easy to use.It is a stable, reliable product.Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people.It has greatly improved the performance because it is standardized across the company.

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Cons
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.Technical support needs some improvement, as they do not respond as quickly as we would like.I think the visualization and charting should be changed and made easier and more effective.Needs more statistical modelling functions.

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More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.We would like to see it more web-based with more functionality.We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers.Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge.

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Pricing and Cost Advice
We think that IBM SPSS is expensive for this function.Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.

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Ranking
10th
Views
3,443
Comparisons
2,839
Reviews
3
Average Words per Review
429
Avg. Rating
8.0
9th
Views
4,145
Comparisons
3,200
Reviews
3
Average Words per Review
502
Avg. Rating
8.3
Top Comparisons
Compared 11% of the time.
Also Known As
SPSS StatisticsWatson Studio, IBM Data Science Experience, Data Science Experience, DSx
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IBM
IBM
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.

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

Offer
Learn more about IBM SPSS Statistics
Learn more about IBM Watson Studio
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-TILDAGroupM, Accenture, Fifth Third Bank
Top Industries
No Data Available
VISITORS READING REVIEWS
Software R&D Company41%
Retailer11%
Comms Service Provider8%
Manufacturing Company6%
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: November 2019.
384,147 professionals have used our research since 2012.
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.
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