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# IBM SPSS Modeler vs SAS Enterprise Miner Comparison - What are their main differences?

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IBM SPSS ModelerSAS Enterprise Miner[+ Add Product](#)

Reviews

**IBM SPSS Modeler** [

4/5(148)

](https://www.g2.com/products/ibm-spss-modeler/reviews#reviews)

**SAS Enterprise Miner** [

4.2/5(193)

](https://www.g2.com/products/sas-enterprise-miner/reviews#reviews)

Pricing

**IBM SPSS Modeler**
 **Starting at $7,430 USD** per user per year · IBM SPSS Modeler Professional

**SAS Enterprise Miner**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**IBM SPSS Modeler**
Not enough reviews yet

**SAS Enterprise Miner**
Not enough reviews yet

Return on Investment

**IBM SPSS Modeler**
Not enough reviews yet

**SAS Enterprise Miner**
Not enough reviews yet

Perceived Cost

**IBM SPSS Modeler**
$$$$$

**SAS Enterprise Miner**
$$$$$

Average Discount

**IBM SPSS Modeler**
Not enough reviews yet

**SAS Enterprise Miner**
Not enough reviews yet

 ![IBM SPSS Modeler](https://images.g2crowd.com/uploads/product/hd_favicon/1519158316/ibm-spss-modeler.svg "IBM SPSS Modeler")

 ![SAS Enterprise Miner](https://images.g2crowd.com/uploads/product/hd_favicon/96cd90474ae66e9234e438aee9b33c58/sas-enterprise-miner.svg "SAS Enterprise Miner")

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Pros & Cons

**IBM SPSS Modeler**
[
Analysis Capabilities (1)
](https://www.g2.com/products/ibm-spss-modeler/reviews?filters%5Bsentiment_snippet%5D=2405268&qs=pros-and-cons#reviews)[
Analytics (1)
](https://www.g2.com/products/ibm-spss-modeler/reviews?filters%5Bsentiment_snippet%5D=2405252&qs=pros-and-cons#reviews)[
Expensive (1)
](https://www.g2.com/products/ibm-spss-modeler/reviews?filters%5Bsentiment_snippet%5D=2405270&qs=pros-and-cons#reviews)[
Expensive Licensing (1)
](https://www.g2.com/products/ibm-spss-modeler/reviews?filters%5Bsentiment_snippet%5D=2405275&qs=pros-and-cons#reviews)

**SAS Enterprise Miner**
[
Ease of Installation (1)
](https://www.g2.com/products/sas-enterprise-miner/reviews?filters%5Bsentiment_snippet%5D=2113114&qs=pros-and-cons#reviews)[
Ease of Use (1)
](https://www.g2.com/products/sas-enterprise-miner/reviews?filters%5Bsentiment_snippet%5D=1901452&qs=pros-and-cons#reviews)[
Learning Curve (1)
](https://www.g2.com/products/sas-enterprise-miner/reviews?filters%5Bsentiment_snippet%5D=2113126&qs=pros-and-cons#reviews)[
Not User-Friendly (1)
](https://www.g2.com/products/sas-enterprise-miner/reviews?filters%5Bsentiment_snippet%5D=2113134&qs=pros-and-cons#reviews)

Screenshots

**IBM SPSS Modeler**
 ![IBM SPSS Modeler screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/32195/IBM_20SPSS_20Modeler_Screenshot-2.jpg)

**SAS Enterprise Miner**
No screenshot available

Ratings

Meets Requirements

**IBM SPSS Modeler**

8.3

8.3110

**SAS Enterprise Miner**

8.7

8.7168

Ease of Use

**IBM SPSS Modeler**

8.3

8.3111

**SAS Enterprise Miner**

7.7

7.7169

Ease of Setup

**IBM SPSS Modeler**

8.2

8.229

**SAS Enterprise Miner**

7.7

7.749

Ease of Admin

**IBM SPSS Modeler**

8.1

8.127

**SAS Enterprise Miner**

7.7

7.747

Quality of Support

**IBM SPSS Modeler**

8.0

8.094

**SAS Enterprise Miner**

8.2

8.2151

Has the product been a good partner in doing business?

**IBM SPSS Modeler**

8.3

8.326

**SAS Enterprise Miner**

8.3

8.347

Product Direction (% positive)

**IBM SPSS Modeler**

7.0

7.0110

**SAS Enterprise Miner**

7.4

7.4159

Features

Data Science and Machine Learning Platforms[Hide 75 FeaturesShow 75 Features](javascript:void(0);)

7.6

17

8.3

8

System

Data Ingestion & Wrangling

7.9

15

8.1(won by 0.2)

8

Real-Time Data

Not enough data

Not enough data

Model Development

Language Support

8.2(won by 1.1)

12

 (There is a greater than 0.5 difference between this product's rating and its competitors)

7.1

8

Drag and Drop

8.2(won by 0.5)

13

 (There is a greater than 0.5 difference between this product's rating and its competitors)

7.7

8

Pre-Built Algorithms

8.3

14

8.8(won by 0.5)

8

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Model Training

8.5(tied score)

14

8.5(tied score)

8

Database Support

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Model Development

Feature Engineering

7.1

16

8.1(won by 1.0)

8

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Machine/Deep Learning Services

Computer Vision

7.3

11

8.3(won by 1.0)

7

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Natural Language Processing

7.5

12

8.1(won by 0.6)

7

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Natural Language Generation

6.9

12

8.3(won by 1.4)

7

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Artificial Neural Networks

8.1

13

8.3(won by 0.2)

8

Machine/Deep Learning Services

Natural Language Understanding

6.4

12

8.1(won by 1.7)

7

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Deep Learning

6.7

13

7.6(won by 0.9)

7

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Deployment

Managed Service

7.4

13

8.6(won by 1.2)

7

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Application

8.6

12

8.8(won by 0.2)

7

Scalability

7.6

15

9.0(won by 1.4)

7

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Additional Functionality

Customizable Reports

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Semantic Search

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

Statistical Analysis

Not enough data

Not enough data

Categorization/Grouping

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Data Profiling

Not enough data

Not enough data

Linked Data Management

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

API

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Ad hoc Analysis

Not enough data

Not enough data

Text Mining

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Predictive Modeling

Not enough data

Not enough data

Real-Time Analytics

Not enough data

Not enough data

Configurable Workflow

Not enough data

Not enough data

Tagging

Not enough data

Not enough data

Endpoint Management

Not enough data

Not enough data

No-Code

Not enough data

Not enough data

Data Preparation

Not enough data

Not enough data

Auditing

Not enough data

Not enough data

Big Data Analytics

Not enough data

Not enough data

ML Algorithm Library

Not enough data

Not enough data

Data Management

Not enough data

Not enough data

Activity Tracking

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Generative AI

AI Text Generation

Not enough data

8.6(won by default)

7

AI Text Summarization

Not enough data

8.6(won by default)

7

AI Text-to-Image

Not enough data

8.8(won by default)

7

Generative AI

Not enough data

Not enough data

Agentic AI - Data Science and Machine Learning Platforms

Autonomous Task Execution

Not enough data

Not enough data

Multi-step Planning

Not enough data

Not enough data

Cross-system Integration

Not enough data

Not enough data

Adaptive Learning

Not enough data

Not enough data

Natural Language Interaction

Not enough data

Not enough data

Proactive Assistance

Not enough data

Not enough data

Decision Making

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Predictive Analytics[Hide 42 FeaturesShow 42 Features](javascript:void(0);)

7.9

87

8.0

110

Statistical Tool

Scripting

7.5

58

8.1(won by 0.6)

86

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Data Mining

8.3(tied score)

49

8.3(tied score)

93

Algorithms

8.0(tied score)

61

8.0(tied score)

89

Data Analysis

Analysis

8.3

69

9.1(won by 0.8)

103

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Data Interaction

8.4(tied score)

68

8.4(tied score)

103

Time Series Analysis

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Decision Making

Modeling

8.4

71

8.6(won by 0.2)

97

Data Visualizations

7.5(won by 0.3)

68

7.2

103

Report Generation

7.8

64

8.0(won by 0.2)

100

Data Unification

Feature Not Available

7.8(won by default)

17

Customizable Reports

Not enough data

Not enough data

Generative AI

AI Text Generation

7.3

5

7.4(won by 0.1)

7

AI Text Summarization

7.3

5

7.4(won by 0.1)

7

Generative AI

Not enough data

Not enough data

Additional Functionality

Demand Forecasting

Not enough data

Not enough data

AI/Machine Learning

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

For Healthcare

Not enough data

Not enough data

Forecasting

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Decision Support

Not enough data

Not enough data

Modeling & Simulation

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Retail

Not enough data

Not enough data

For Education

Not enough data

Not enough data

Data Discovery

Not enough data

Not enough data

Graphical Workflow Editor

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Business Rules Management

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Data Clustering

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Blending

Not enough data

Not enough data

Data Classification

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

Statistical Analysis[Hide 54 FeaturesShow 54 Features](javascript:void(0);)

Not enough data

7.6

7

Administration

Quality Control

Not enough data

7.8(won by default)

6

Data Sampling

Not enough data

7.2(won by default)

6

Collaboration

Not enough data

6.4(won by default)

6

Multiple Data Sources

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Statistical Process Control

Not enough data

Not enough data

Capabilities

Data Visualization

Not enough data

6.9(won by default)

7

Survival Analysis

Not enough data

8.1(won by default)

6

Risk Data Attributes

Not enough data

7.8(won by default)

6

Cost Analysis

Not enough data

7.5(won by default)

6

Multivariate Analysis

Not enough data

Not enough data

What-if Analysis

Not enough data

Not enough data

Statistical Analysis

Not enough data

Not enough data

Bayesian Analysis

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Regression Analysis

Not enough data

Not enough data

Methodology

ANOVA Support

Not enough data

8.9(won by default)

6

Regression

Not enough data

8.9(won by default)

6

Time Series Analysis

Not enough data

8.3(won by default)

6

Generative AI

AI Text Generation

Not enough data

6.7(won by default)

6

AI Text Summarization

Not enough data

6.7(won by default)

6

Generative AI

Not enough data

Not enough data

Additional Functionality

Compliance Tracking

Not enough data

Not enough data

Real-Time Reporting

Not enough data

Not enough data

Statistical Simulation

Not enough data

Not enough data

Forecasting

Not enough data

Not enough data

Neural Network Modeling

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Self Service Data Preparation

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

API

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Association Discovery

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Customization

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Data Clustering

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

SSL Security

Not enough data

Not enough data

File Storage

Not enough data

Not enough data

Decision Tree

Not enough data

Not enough data

Multiple Scoring Models

Not enough data

Not enough data

Show 1 feature category with incomplete data

Artificial Intelligence[Hide 37 FeaturesShow 37 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Tagging

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Speech Recognition

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Virtual Personal Assistant (VPA)

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Customer Segmentation

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

For eCommerce

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Customizable Branding

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Document Management

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Machine Learning

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Mobile App

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Sales Teams/Organizations

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Chatbot

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![IBM SPSS Modeler](https://images.g2crowd.com/uploads/product/hd_favicon/1519158316/ibm-spss-modeler.svg "IBM SPSS Modeler")](https://www.g2.com/products/ibm-spss-modeler/reviews)

IBM SPSS Modeler

Small-Business(50 or fewer emp.)

21.3%

Mid-Market(51-1000 emp.)

23.6%

Enterprise(\> 1000 emp.)

55.1%

[![SAS Enterprise Miner](https://images.g2crowd.com/uploads/product/hd_favicon/96cd90474ae66e9234e438aee9b33c58/sas-enterprise-miner.svg "SAS Enterprise Miner")](https://www.g2.com/products/sas-enterprise-miner/reviews)

SAS Enterprise Miner

Small-Business(50 or fewer emp.)

15.1%

Mid-Market(51-1000 emp.)

27.0%

Enterprise(\> 1000 emp.)

57.8%

Small-Business

(50 or fewer emp.)

21.3%

15.1%

Mid-Market

(51-1000 emp.)

23.6%

27.0%

Enterprise

(\> 1000 emp.)

55.1%

57.8%

Reviewers' Industry

[![IBM SPSS Modeler](https://images.g2crowd.com/uploads/product/hd_favicon/1519158316/ibm-spss-modeler.svg "IBM SPSS Modeler")](https://www.g2.com/products/ibm-spss-modeler/reviews)
IBM SPSS Modeler

Higher Education

15.6%

Education Management

11.7%

Research

7.8%

Banking

6.3%

Computer Software

4.7%

Other

53.9%

[![SAS Enterprise Miner](https://images.g2crowd.com/uploads/product/hd_favicon/96cd90474ae66e9234e438aee9b33c58/sas-enterprise-miner.svg "SAS Enterprise Miner")](https://www.g2.com/products/sas-enterprise-miner/reviews)
SAS Enterprise Miner

Higher Education

17.3%

Information Technology and Services

11.4%

Hospital & Health Care

10.8%

Research

7.6%

Government Administration

5.9%

Other

47.0%

FAQs

## IBM SPSS Modeler vs SAS Enterprise Miner FAQs

Generated using AI

Last updated: August 15, 2026

### What is the difference between IBM SPSS Modeler vs SAS Enterprise Miner?

SAS Enterprise Miner stands out for its higher G2 rating and stronger support scores, while IBM SPSS Modeler is noted for ease of use and data management capabilities.

| [IBM SPSS Modeler](https://www.g2.com/products/ibm-spss-modeler/reviews) | [SAS Enterprise Miner](https://www.g2.com/products/sas-enterprise-miner/reviews) |
| --- | --- |
| 4.0/5 (148 reviews) | 4.2/5 (193 reviews) |
| Enterprise | Enterprise |
| 8.2 | 7.7 |
| 8.0 | 8.2 |
| Data Management | Statistical Analysis |

### How do the pricing models of IBM SPSS Modeler and SAS Enterprise Miner compare?

SAS Enterprise Miner is rated higher for value, with a stronger Price/Cost satisfaction score than IBM SPSS Modeler.

- **IBM SPSS Modeler:** In recent reviews, many cite high licensing costs and describe the product as expensive for each user.
- **SAS Enterprise Miner:** Reviewers note that while SAS Enterprise Miner is also costly, they express greater satisfaction with its value relative to its capabilities.
- **Switching reasons:** Reviewers mention switching from IBM SPSS Modeler due to its high price and limited flexibility for advanced users.

### What are the best alternatives to IBM SPSS Modeler and SAS Enterprise Miner?

The top 3 alternatives to IBM SPSS Modeler and SAS Enterprise Miner are Altair AI Studio, Alteryx, and KNIME.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [IBM SPSS Modeler](https://www.g2.com/products/ibm-spss-modeler/reviews) | 4.0/5 (148 reviews) | Enterprise | Expensive licensing and maintenance costs | Data Management |
| [SAS Enterprise Miner](https://www.g2.com/products/sas-enterprise-miner/reviews) | 4.2/5 (193 reviews) | Enterprise | High cost, but strong value for advanced analytics | Statistical Analysis |
| [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) | 4.6/5 (533 reviews) | Small-Business | — | Ease of Use |
| [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5 (894 reviews) | Enterprise | — | Automation and Workflow |
| [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) | 4.5/5 (111 reviews) | Enterprise | — | Open Source Flexibility |

### Which Predictive Analytics features should I prioritize when comparing IBM SPSS Modeler and SAS Enterprise Miner?

Buyers should prioritize ease of use, data management, statistical analysis, predictive modeling, and integration capabilities when comparing IBM SPSS Modeler and SAS Enterprise Miner.

- **Ease of Use:** IBM SPSS Modeler scores 8.3; SAS Enterprise Miner scores 7.7.
- **Data Management:** IBM SPSS Modeler is cited for data management (1 all-time mention); SAS Enterprise Miner is not specifically cited for this area.
- **Statistical Analysis:** SAS Enterprise Miner is cited for statistical analysis (1 all-time mention); IBM SPSS Modeler is not specifically cited for this area.
- **Predictive Modeling:** IBM SPSS Modeler is cited for predictive modeling (1 all-time mention); SAS Enterprise Miner is noted for predictive modeling in recent reviews.
- **Integration Capabilities:** IBM SPSS Modeler is noted for integration with IBM tools in recent reviews; SAS Enterprise Miner is cited for integration with SQL Server and Teradata in older reviews.

### What are the pros and cons of IBM SPSS Modeler vs SAS Enterprise Miner?

IBM SPSS Modeler is strongest in ease of use and data management, while SAS Enterprise Miner excels in statistical analysis and predictive modeling.

- **IBM SPSS Modeler strengths:** Ease of use (1 all-time mention), data management (1), fast processing (1), integrated platform (1), machine learning (1), predictive modeling (1).
- **IBM SPSS Modeler trade-offs:** Expensive licensing (1 all-time mention), limited flexibility for advanced users, complicated GUI, limited integration with open-source languages.
- **SAS Enterprise Miner strengths:** Statistical analysis (1 all-time mention), ease of installation (1), predictive modeling, strong customer support, robust data analytics.
- **SAS Enterprise Miner trade-offs:** Steep learning curve (1 all-time mention), not user-friendly (1), high cost, interface could be more modern, limited flexibility for advanced customization.

### Is IBM SPSS Modeler or SAS Enterprise Miner better for small businesses?

Altair AI Studio is the best fit for small businesses, as both IBM SPSS Modeler and SAS Enterprise Miner are primarily used by enterprise customers.

- **IBM SPSS Modeler:** Largest segment is Enterprise; reviewers note high licensing costs and complexity for smaller organizations.
- **SAS Enterprise Miner:** Largest segment is Enterprise; reviewers cite high cost and a steep learning curve as barriers for small businesses.

### Which Predictive Analytics platform has better integrations?

IBM SPSS Modeler and SAS Enterprise Miner are at parity for integrations, with both products mentioned for integration capabilities in reviews but without a clear reviewer preference.

- **IBM SPSS Modeler:** Reviewers mention integration with IBM tools such as Watson Studio and Cognos Analytics in recent reviews.
- **SAS Enterprise Miner:** Reviewers cite integration with SQL Server and Teradata in older reviews.

### How do IBM SPSS Modeler and SAS Enterprise Miner compare on customer support?

SAS Enterprise Miner has a slight edge in Quality of Support, scoring 8.2 versus IBM SPSS Modeler's 8.0, which is below the materiality threshold for a decisive difference.

- **IBM SPSS Modeler:** Reviewers describe support as generally responsive, with some noting slow response times and a desire for more comprehensive documentation.
- **SAS Enterprise Miner:** Reviewers highlight strong customer support and an active community, with frequent mentions of helpful assistance and available resources.

### Which is easier to implement, IBM SPSS Modeler or SAS Enterprise Miner?

IBM SPSS Modeler is easier to implement, with an Ease of Setup score of 8.2 compared to SAS Enterprise Miner's 7.7, a difference of 0.5 points.

- **IBM SPSS Modeler:** Reviewers frequently cite the drag-and-drop interface and minimal coding requirements as making setup straightforward, especially for non-programmers.
- **SAS Enterprise Miner:** Reviewers note that while installation is easy, the initial learning curve and configuration for advanced features can be challenging.

### Which product has better Analysis?

IBM SPSS Modeler and SAS Enterprise Miner both deliver strong Analysis capabilities, with each product cited for this feature in reviews.

- **IBM SPSS Modeler:** Analysis Capabilities (1 all-time mention), Ease of Use score 8.3, Meets Requirements score 8.3.
- **SAS Enterprise Miner:** Statistical Analysis (1 all-time mention), Ease of Use score 7.7, Meets Requirements score 8.7.

Alternatives

**IBM SPSS Modeler Alternatives**

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[
Alteryx
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[
Rapidminer AI Studio
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 ![KNIME](https://images.g2crowd.com/uploads/product/hd_favicon/8a540cdf83a0e7e7937efe634c6ab64f/knime-analytics-platform.svg "KNIME")

[
KNIME
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 ![Dataiku](https://images.g2crowd.com/uploads/product/hd_favicon/3fe6cc82516a2babaa3dfd8f9dfcc4b3/dataiku.svg "Dataiku")

[
Dataiku
](/products/dataiku/reviews)

**SAS Enterprise Miner Alternatives**

 ![Rapidminer AI Studio](https://images.g2crowd.com/uploads/product/hd_favicon/501888c80a82c58e3c4f752bbd3902f5/rapidminer-studio.svg "Rapidminer AI Studio")

[
Rapidminer AI Studio
](/products/rapidminer-studio/reviews)

 ![Alteryx](https://images.g2crowd.com/uploads/product/hd_favicon/5200f776b24b5976b8f7d151d1d2e8fd/alteryx.svg "Alteryx")

[
Alteryx
](/products/alteryx/reviews)

 ![IBM SPSS Statistics](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_24bb2b0b5af8e7d875ea09d767bcb097/ibm-spss-statistics.jpg "IBM SPSS Statistics")

[
SPSS Statistics
](/products/ibm-spss-statistics/reviews)

 ![Dataiku](https://images.g2crowd.com/uploads/product/hd_favicon/3fe6cc82516a2babaa3dfd8f9dfcc4b3/dataiku.svg "Dataiku")

[
Dataiku
](/products/dataiku/reviews)

## IBM SPSS Modeler vs SAS Enterprise Miner

When assessing the two solutions, reviewers found IBM SPSS Modeler easier to use, set up, and administer. However, reviewers felt that both vendors make it equally easy to do business overall.

- Reviewers felt that SAS Enterprise Miner meets the needs of their business better than IBM SPSS Modeler.
- When comparing quality of ongoing product support, reviewers felt that SAS Enterprise Miner is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of SAS Enterprise Miner over IBM SPSS Modeler.