Compare IBM SPSS Statistics vs. Iguazio

Cancel
You must select at least 2 products to compare!
IBM SPSS Statistics Logo
3,675 views|2,910 comparisons
Iguazio Logo
views| comparisons
Most Helpful Review
Use Iguazio? Share your opinion.
Find out what your peers are saying about Alteryx, Databricks, IBM and others in Data Science Platforms. Updated: August 2020.
438,560 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:

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."

More IBM SPSS Statistics Pricing and Cost Advice »

Information Not Available
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
438,560 professionals have used our research since 2012.
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 »
Ask a question

Earn 20 points

Ranking
3rd
Views
3,675
Comparisons
2,910
Reviews
13
Average Words per Review
778
Avg. Rating
7.9
Unranked
In Data Science Platforms
Popular Comparisons
Compared 13% of the time.
Compared 6% of the time.
Also Known As
SPSS Statistics
Learn
IBM
Iguazio
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.

Data science is too important to today’s businesses to be held back by delays and inefficiencies. Iguazio was created to remove the obstacles preventing data science from seeing the light of day, helping teams seamlessly implement their creations into business applications and make game-changing impact on their industry.

Leaders

Offer
Learn more about IBM SPSS Statistics
Learn more about Iguazio
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
Information Not Available
Top Industries
REVIEWERS
University27%
Financial Services Firm18%
Analyst Firm9%
Consumer Goods Company9%
VISITORS READING REVIEWS
Computer Software Company26%
K 12 Educational Company Or School15%
Comms Service Provider14%
Media Company7%
No Data Available
Find out what your peers are saying about Alteryx, Databricks, IBM and others in Data Science Platforms. Updated: August 2020.
438,560 professionals have used our research since 2012.
IBM SPSS Statistics is ranked 3rd in Data Science Platforms with 13 reviews while Iguazio is ranked unranked in Data Science Platforms. IBM SPSS Statistics is rated 8.0, while Iguazio is rated 0.0. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka, MathWorks Matlab, TIBCO Statistica and Alteryx, whereas Iguazio is most compared with .

See our list of best Data Science Platforms vendors.

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.