SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).
$99
per month per user
IBM SPSS Modeler
Score7 out of 10
N/A
IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.
$499
per month
Pricing
IBM SPSS Statistics
IBM SPSS Modeler
Editions & Modules
Base
USD 3,830
one-time fee per user
Standard
USD 8,440
one-time fee per user
Professional
USD 16,900
one-time fee per user
Premium
USD 25,200
one-time fee per user
Monthly subscription
USD 99
per month per user
Annual subscription
USD 1,188.00
per year per user
IBM SPSS Modeler Personal
4,670
per year
IBM SPSS Modeler Professional
7,000
per year
IBM SPSS Modeler Premium
11,600
per year
IBM SPSS Modeler Gold
contact IBM
per year
Offerings
Pricing Offerings
IBM SPSS Statistics
IBM SPSS Modeler
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
IBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop.
IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more.
IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics.
IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact.
Data Scientist ,Pre-Sales,Consultor/Instrutor em Estatística e Mineração de dados em Big Data in Customer Service at Estatística Segura (Research, 1-10 employees)
Chose IBM SPSS Statistics
I also point out that the two softwares are complementary, then IBM SPSS Statistics works very well with statistical tests, creation and visualization of detailed tables and creation of statistical project models and project models. The IBM SPSS Modeler helps you quickly view …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
Chose IBM SPSS Statistics
I have used SAS and R for data modeling. As compared to R, definitely IBM SPSS Modeler is easy to use but not as efficient as SAS.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Gerente de Ventas Sector Gobierno in Sales at INFÓRMESE (Government Relations, 11-50 employees)
Chose IBM SPSS Modeler
When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Key User Insights
Would buy again
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Delivers good value for the price
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Happy with the feature set
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Lived up to sales and marketing promises
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Implementation went as expected
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Features
IBM SPSS Statistics
IBM SPSS Modeler
Platform Connectivity
Comparison of Platform Connectivity features of IBM SPSS Statistics and IBM SPSS Modeler