Compare IBM SPSS Statistics vs. TIBCO Statistica

IBM SPSS Statistics is ranked 4th in Data Science Platforms with 12 reviews while TIBCO Statistica is ranked 23rd in Data Science Platforms. IBM SPSS Statistics is rated 8.0, while TIBCO Statistica is rated 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, IBM Watson Studio and Alteryx, whereas TIBCO Statistica is most compared with TIBCO Spotfire Data Science, Alteryx, IBM SPSS Modeler, RapidMiner and MathWorks Matlab.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Use TIBCO Statistica? Share your opinion.
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: July 2020.
430,905 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 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.
430,905 professionals have used our research since 2012.
Ranking
4th
Views
3,637
Comparisons
2,894
Reviews
12
Average Words per Review
714
Avg. Rating
7.9
23rd
Views
888
Comparisons
657
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Popular Comparisons
Compared 14% of the time.
Compared 5% of the time.
Compared 11% of the time.
Compared 10% of the time.
Compared 10% of the time.
Also Known As
SPSS StatisticsQuest Statistica, Dell Statistica
Learn
IBM
TIBCO
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.TIBCO Statistica is a flexible analytics system, which allows users to: create analytic workflows that are packaged and published to business users, explore interactively and visualize problems and create and deploy statistical, predictive, data mining, machine learning, forecasting, optimization, and text analytic models. TIBCO Statistica advanced analytics and data science platform helps you to Embed Analytics Everywhere. TIBCO Statistica capabilities: Predictive Analytics, Provide broad access and data preparation everywhere, including for databases, cloud, and Apache Hadoop sources. Native Distributed Analytical Architecture (NDAA), Real-time Big-data Answers, Security and governance and Statistica works with R, Python, Scala scripts in-database or at the edge.
Offer
Learn more about IBM SPSS Statistics
Learn more about TIBCO Statistica
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-TILDADanske Bank
Top Industries
REVIEWERS
University27%
Financial Services Firm18%
Analyst Firm9%
Consumer Goods Company9%
VISITORS READING REVIEWS
Computer Software Company24%
K 12 Educational Company Or School17%
Comms Service Provider12%
Media Company9%
No Data Available
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: July 2020.
430,905 professionals have used our research since 2012.

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.