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Compare Amazon SageMaker and SAS Enterprise Miner 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Enterprise (57.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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 SageMakerSAS Enterprise Miner
Star Rating
(192)4.2 out of 5
Market Segments
Enterprise (57.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS Enterprise MinerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that SAS Enterprise Miner excels in its statistical tools, particularly in data mining and regression analysis, with a score of 8.3 and 8.9 respectively, making it a strong choice for users focused on traditional statistical methods.
- Reviewers mention that Amazon SageMaker shines in its machine learning services, especially in natural language processing and deep learning, with scores of 9.0 and 9.0, indicating a robust offering for users looking to leverage advanced AI capabilities.
- G2 users highlight that SAS Enterprise Miner has a more complex setup process, reflected in its ease of setup score of 7.7, while Amazon SageMaker offers a smoother experience with a score of 8.4, making it more accessible for small businesses and new users.
- Users on G2 appreciate the drag-and-drop functionality in Amazon SageMaker, which scored 9.0, as it simplifies the model development process, whereas SAS Enterprise Miner scored lower at 7.5, indicating a less intuitive interface for some users.
- Reviewers mention that Amazon SageMaker's managed service aspect is highly rated at 9.5, providing users with a hassle-free deployment experience, while SAS Enterprise Miner scored 8.1, suggesting it may require more hands-on management.
- Users say that both products are scalable, each scoring 9.0, but Amazon SageMaker is noted for its superior scalability in deployment, with a score of 9.7, making it a better option for organizations anticipating rapid growth.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableSAS Enterprise Miner
No pricing availableFree Trial
Amazon SageMaker
No trial information availableSAS Enterprise Miner
No trial information availableRatings
Meets Requirements
8.6
37
8.7
168
Ease of Use
8.4
38
7.7
168
Ease of Setup
8.5
25
7.7
48
Ease of Admin
8.4
20
7.7
47
Quality of Support
8.6
33
8.2
151
Has the product been a good partner in doing business?
9.2
20
8.3
47
Product Direction (% positive)
9.0
36
7.4
159
Features by Category
Administration
Not enough data
7.8
6
Not enough data
7.2
6
Not enough data
6.4
6
Capabilities
Not enough data
7.2
6
Not enough data
8.1
6
Not enough data
7.8
6
Not enough data
7.5
6
Methodology
Not enough data
8.9
6
Not enough data
8.9
6
Not enough data
8.3
6
Generative AI
Not enough data
6.7
6
Not enough data
6.7
6
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
8.1
8
Model Development
8.7
29
7.1
8
8.2
28
7.7
8
8.3
33
8.8
8
8.9
33
8.5
8
Model Development
8.4
19
8.1
8
Machine/Deep Learning Services
8.9
26
8.3
7
9.1
28
8.1
7
8.9
25
8.3
7
9.0
28
8.3
8
Machine/Deep Learning Services
9.2
17
8.1
7
9.2
18
7.6
7
Deployment
8.6
32
8.6
7
8.6
32
8.8
7
9.0
31
9.0
7
Generative AI
8.6
6
8.6
7
9.2
6
8.6
7
8.3
5
8.8
7
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
8.1
86
Not enough data
8.3
93
Not enough data
8.0
89
Data Analysis
Not enough data
9.1
103
Not enough data
8.4
103
Decision Making
Not enough data
8.6
97
Not enough data
7.2
103
Not enough data
8.0
100
Not enough data
7.8
17
Generative AI
Not enough data
7.4
7
Not enough data
7.4
7
Categories
Categories
Shared Categories
Amazon SageMaker and SAS Enterprise Miner 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
SAS Enterprise Miner is categorized as Predictive Analytics and Statistical Analysis
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Enterprise Miner
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
17.4%
Information Technology and Services
11.4%
Hospital & Health Care
10.9%
Research
7.6%
Government Administration
6.0%
Other
46.7%
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
What is advanced analytics platform?
1 Comment
GS
Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of...Read more
SAS Enterprise Miner has no more discussions with answers
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