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Compare Amazon SageMaker and IBM SPSS Modeler 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Enterprise (54.8% of reviews)
Entry-Level Pricing
No pricing available
Starting at $7,430 USD per user per year
Amazon SageMaker
Star Rating
(45)4.3 out of 5
Market Segments
Small-Business (33.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerIBM SPSS Modeler
Star Rating
(147)4.0 out of 5
Market Segments
Enterprise (54.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Starting at $7,430 USD per user per year
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM SPSS Modeler excels in data mining capabilities, with a score of 8.3, while Amazon SageMaker shines in machine learning services, particularly in computer vision and natural language processing, scoring 9.2 and 9.0 respectively.
- Reviewers mention that IBM SPSS Modeler offers a user-friendly drag-and-drop interface with a score of 7.8, but Amazon SageMaker surpasses it slightly with a score of 9.0, making it easier for users to build and deploy models.
- G2 users highlight that Amazon SageMaker provides superior scalability and performance, particularly in AI model training scalability, scoring 9.0 compared to IBM SPSS Modeler's 7.6, which is crucial for businesses looking to scale their AI initiatives.
- Users on G2 appreciate the quality of support for Amazon SageMaker, which scored 8.7, while IBM SPSS Modeler received a lower score of 8.0, indicating that users may find more responsive assistance with SageMaker.
- Reviewers say that IBM SPSS Modeler has strong statistical tools with a score of 8.0, but Amazon SageMaker's pre-built algorithms and model training features, both scoring 8.9, provide a more robust framework for machine learning projects.
- Users report that Amazon SageMaker's deployment flexibility, particularly its managed service capabilities with a score of 9.5, significantly outperforms IBM SPSS Modeler's 7.6, making it a better choice for organizations seeking efficient deployment options.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableIBM SPSS Modeler
IBM SPSS Modeler Professional
Starting at $7,430 USD
per user per year
Single-user, desktop application for Windows available for purchase. Other options available through IBM sales. Includes 12 months of technical support.
- Data access and export without data size limits
- Automatic data prep, wrangling, ETL
- 30+ base machine learning algorithms, auto-modeling
Free Trial
Amazon SageMaker
No trial information availableIBM SPSS Modeler
No trial information availableRatings
Meets Requirements
8.6
37
8.3
109
Ease of Use
8.4
38
8.3
110
Ease of Setup
8.5
25
8.2
28
Ease of Admin
8.4
20
8.1
27
Quality of Support
8.6
33
8.0
93
Has the product been a good partner in doing business?
9.2
20
8.3
26
Product Direction (% positive)
9.0
36
7.0
109
Features by Category
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.2
19
7.7
14
Model Development
8.7
29
8.2
12
8.2
28
8.2
13
8.3
33
8.3
14
8.9
33
8.5
14
Model Development
8.4
19
6.9
15
Machine/Deep Learning Services
8.9
26
7.3
11
9.1
28
7.5
12
8.9
25
6.9
12
9.0
28
8.1
13
Machine/Deep Learning Services
9.2
17
6.4
12
9.2
18
6.7
13
Deployment
8.6
32
7.4
13
8.6
32
8.6
12
9.0
31
7.6
15
Generative AI
8.6
6
Not enough data
9.2
6
Not enough data
8.3
5
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
7.5
58
Not enough data
8.3
48
Not enough data
8.0
60
Data Analysis
Not enough data
8.3
69
Not enough data
8.4
68
Decision Making
Not enough data
8.4
70
Not enough data
7.5
68
Not enough data
7.8
63
Not enough data
Feature Not Available
Generative AI
Not enough data
7.3
5
Not enough data
7.3
5
Categories
Categories
Shared Categories
Amazon SageMaker and IBM SPSS Modeler are categorized as Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
IBM SPSS Modeler is categorized as Predictive Analytics
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM SPSS Modeler
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Higher Education
15.7%
Education Management
11.8%
Research
7.9%
Banking
5.5%
Information Technology and Services
4.7%
Other
54.3%
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 Comment
VJ
https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/Read more
How do i make this platform reach to most of my developers?
1 Comment
VJ
you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can...Read more
Amazon SageMaker has no more discussions with answers
Where can I find more detailed information on IBM SPSS Modeler's features and capabilities, including a list of algorithms?
1 Comment
MB
Hello!
If you want to know the list of algorithm you can look the official manual here:...Read more
How frequently are you going to release updates
1 Comment
MB
Hello! they release big updates almost every year. Last month they released version 18.2.2 with updates. Also, during the year they release one or two fix...Read more
Need training for use SPSS modelar 18.2
1 Comment
RK
Hi, I learned the SPSS Modeler software in a class for my Master's in Learning Analytics a couple of years ago. I also work at the same university. ...Read more
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