Compare Amazon SageMaker and SAS Viya 
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Small-Business (34.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon SageMaker
Star Rating
(48)4.2 out of 5
Market Segments
Enterprise (34.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerSAS Viya
Star Rating
(751)4.3 out of 5
Market Segments
Small-Business (34.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS ViyaSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Amazon SageMaker excels in its user-friendly interface and straightforward setup process, making it easy for users to get started quickly. One user highlighted the simplicity of the login process and the intuitive design, which enhances the overall experience.
- Users say that SAS Viya stands out for its robust cloud-based architecture, which allows for seamless access to projects from various locations. Reviewers appreciate how this flexibility, combined with powerful statistical capabilities, enhances collaboration and productivity.
- According to verified reviews, Amazon SageMaker is particularly praised for its deep learning capabilities, with users noting its effectiveness in building complex models like object detection. This feature is especially beneficial for those with limited local resources, as it leverages cloud computing power.
- Reviewers mention that SAS Viya's strength lies in its advanced analytics features, such as detailed keyword and sentiment analysis. Users have expressed satisfaction with the platform's ability to visualize correlations between keywords, which aids in data interpretation and decision-making.
- G2 reviewers highlight that while Amazon SageMaker offers excellent support for model training and deployment, some users feel it could improve in areas like data ingestion and wrangling. However, many still find it a cost-effective solution for deploying applications quickly.
- Users report that SAS Viya, while slightly less intuitive in some aspects, provides a comprehensive suite of tools for data preparation and machine learning, making it a strong choice for organizations looking for an all-in-one solution. The platform's scalability is frequently mentioned as a key advantage for growing businesses.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableSAS Viya
No pricing availableFree Trial
Amazon SageMaker
No trial information availableSAS Viya
Free Trial is available
Ratings
Meets Requirements
8.6
38
8.5
539
Ease of Use
8.4
39
8.2
601
Ease of Setup
8.5
26
8.0
452
Ease of Admin
8.4
20
7.6
159
Quality of Support
8.6
34
8.3
510
Has the product been a good partner in doing business?
9.2
20
8.3
162
Product Direction (% positive)
9.1
37
8.9
540
Features by Category
Reports
Not enough data
8.4
247
Not enough data
8.1
235
Not enough data
8.5
240
Not enough data
8.1
235
Not enough data
8.4
232
Data Preparation
Not enough data
8.4
211
Not enough data
8.3
210
Data Modeling and Blending
Not enough data
8.5
210
Not enough data
8.7
209
Not enough data
8.5
211
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Analytics Platforms
Not enough data
7.9
93
Not enough data
7.9
91
Not enough data
8.1
91
Not enough data
8.1
90
Not enough data
7.9
90
Not enough data
7.7
90
Not enough data
8.1
90
Self Service
Not enough data
8.3
232
Not enough data
8.4
233
Not enough data
8.4
233
Not enough data
8.1
229
Not enough data
8.1
231
Not enough data
8.2
227
Deployment & Integration - Analytics Platforms
Not enough data
8.3
90
Not enough data
8.3
92
Not enough data
8.1
89
Not enough data
8.5
91
Advanced Analytics
Not enough data
8.4
233
Not enough data
8.8
233
Not enough data
8.5
238
Performance & Scalability - Analytics Platforms
Not enough data
8.7
104
Not enough data
8.4
92
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.4
96
Not enough data
8.4
99
Not enough data
8.5
95
Agentic AI Capabilities - Analytics Platforms
Not enough data
7.8
89
Not enough data
8.0
88
Not enough data
8.0
88
Not enough data
7.8
88
Personalized Intelligence - Analytics Platforms
Not enough data
8.1
89
Not enough data
7.9
88
Not enough data
7.8
89
Building Reports
Not enough data
8.5
202
Not enough data
8.5
199
Not enough data
7.8
195
Not enough data
8.0
198
Data Source Access
Not enough data
8.5
118
Not enough data
8.4
120
Not enough data
8.2
114
Data Interaction
Not enough data
8.5
116
Not enough data
8.2
115
Not enough data
8.5
115
Not enough data
8.8
114
Not enough data
8.7
114
Not enough data
8.8
116
Not enough data
8.4
113
Not enough data
8.5
113
Data Exporting
Not enough data
8.4
115
Not enough data
8.3
116
Not enough data
8.5
112
Generative AI
Not enough data
Feature Not Available
Data
Not enough data
8.6
12
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.5
12
Analytics
Not enough data
7.9
12
Administration
Not enough data
8.5
26
Not enough data
8.5
25
Not enough data
8.3
25
Not enough data
8.8
27
Management
Not enough data
8.2
26
Not enough data
8.5
26
Not enough data
8.7
26
Not enough data
9.0
24
Not enough data
7.9
26
Compliance
Not enough data
8.5
25
Not enough data
Feature Not Available
Not enough data
8.4
25
Not enough data
8.6
25
Security
Not enough data
8.7
26
Not enough data
8.3
23
Not enough data
Feature Not Available
Data Quality
Not enough data
8.6
27
Not enough data
8.6
25
Not enough data
8.4
25
Maintainence
Not enough data
8.4
24
Not enough data
Feature Not Available
Generative AI
Not enough data
7.9
25
Not enough data
8.0
25
Agentic AI - Data Governance
Not enough data
9.0
7
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.0
7
Not enough data
9.5
7
Administration
Not enough data
8.9
136
Not enough data
8.9
140
Not enough data
8.8
137
Capabilities
Not enough data
9.3
143
Not enough data
8.9
139
Not enough data
8.7
137
Not enough data
8.6
134
Methodology
Not enough data
8.9
138
Not enough data
9.2
140
Not enough data
9.1
139
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
Not enough data
8.1
13
Not enough data
8.1
14
Not enough data
8.2
13
Not enough data
8.5
14
Not enough data
8.3
14
Deployment
Not enough data
8.2
14
Not enough data
8.3
13
Not enough data
8.3
13
Not enough data
8.2
14
Not enough data
8.7
13
Management
Not enough data
7.6
13
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.5
14
Operations
Not enough data
8.8
14
Not enough data
7.9
14
Not enough data
8.8
14
Management
Not enough data
7.9
13
Not enough data
8.2
14
Not enough data
8.1
13
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
8.3
20
8.4
74
Model Development
8.7
29
8.1
88
8.2
28
8.6
82
8.3
33
8.3
82
8.9
33
8.7
82
Model Development
8.4
19
8.3
71
Machine/Deep Learning Services
8.9
26
7.4
76
9.1
28
7.6
78
8.9
25
7.3
76
9.0
28
8.0
78
Machine/Deep Learning Services
9.2
17
7.6
70
9.2
18
7.9
72
Deployment
8.7
33
8.1
80
8.7
33
8.0
77
9.0
31
8.2
82
Generative AI
8.6
6
Feature Not Available
9.2
6
Feature Not Available
8.3
5
Feature Not Available
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
7.7
27
Not enough data
7.3
27
Not enough data
7.5
27
Not enough data
7.2
27
Not enough data
7.1
27
Not enough data
7.1
27
Not enough data
7.5
27
Financial Planning
Not enough data
7.8
10
Not enough data
8.2
10
Not enough data
8.5
10
Agentic AI - FP&A (Financial Planning & Analysis)
Not enough data
Not enough data
Not enough data
Not enough data
Financial Insight
Not enough data
8.0
10
Not enough data
8.8
10
Not enough data
7.9
11
Data
Not enough data
8.6
11
Not enough data
8.5
10
Not enough data
8.2
10
Not enough data
8.5
10
Status Communication
Not enough data
7.8
10
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
8.5
11
Management
Not enough data
8.8
27
Not enough data
9.0
28
Not enough data
9.3
28
Not enough data
8.9
28
Not enough data
8.8
27
Maintenance
Not enough data
8.7
26
Not enough data
8.9
27
Not enough data
9.0
26
Security
Not enough data
8.9
28
Not enough data
8.6
28
Integration
Not enough data
8.0
20
Not enough data
8.2
19
Business Logic
Not enough data
7.5
19
Not enough data
7.3
19
Not enough data
8.2
19
Management
Not enough data
7.7
18
Not enough data
7.5
19
Analytics
Not enough data
8.4
20
Not enough data
7.6
19
Deployment
Not enough data
8.2
19
Not enough data
7.6
17
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Decision Management Platforms
Not enough data
7.5
6
Not enough data
6.7
6
Not enough data
6.4
6
Not enough data
6.7
6
Not enough data
6.1
6
Not enough data
6.7
6
Not enough data
7.5
6
Setup
Not enough data
7.7
19
Not enough data
7.5
19
Not enough data
8.0
19
Data
Not enough data
8.3
20
Not enough data
8.6
19
Analysis
Not enough data
8.4
19
Not enough data
7.9
19
Not enough data
7.9
18
Not enough data
8.0
19
Not enough data
7.9
18
Not enough data
7.4
18
Not enough data
7.8
18
Customization
Not enough data
7.6
18
Not enough data
7.5
19
Not enough data
8.1
19
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Integration - Machine Learning
Not enough data
8.3
36
Learning - Machine Learning
Not enough data
8.5
38
Not enough data
8.5
38
Not enough data
8.6
37
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
8.7
15
Not enough data
8.7
15
Not enough data
9.0
15
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
9.0
15
Not enough data
8.8
15
Not enough data
8.7
15
Statistical Tool
Not enough data
8.6
75
Not enough data
8.7
76
Not enough data
8.6
76
Data Analysis
Not enough data
8.9
76
Not enough data
8.8
76
Decision Making
Not enough data
8.7
79
Not enough data
9.0
80
Not enough data
8.9
78
Not enough data
8.7
77
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Functionality
Not enough data
8.7
67
Not enough data
8.8
66
Not enough data
9.0
64
Not enough data
8.8
64
Not enough data
8.8
63
Management
Not enough data
9.2
66
Not enough data
9.0
62
Not enough data
8.9
64
Not enough data
9.0
62
Not enough data
Feature Not Available
Generative AI
Not enough data
8.3
60
Not enough data
8.3
61
Building Reports
Not enough data
8.5
202
Not enough data
8.5
199
Not enough data
7.8
195
Not enough data
8.0
198
Platform
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
Categories
Categories
Shared Categories
Amazon SageMaker and SAS Viya are categorized as MLOps Platforms, Data Science and Machine Learning Platforms, and Low-Code Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as Generative AI Infrastructure
SAS Viya is categorized as Statistical Analysis, Data Governance, Event Stream Processing, Data Preparation, Text Analysis, Machine Learning, Analytics Platforms, Predictive Analytics, Database Management Systems (DBMS), FP&A (Financial Planning & Analysis), Data Quality, and Decision Management Platforms
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Viya
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
20.9%
Computer Software
16.3%
Marketing and Advertising
4.7%
Internet
4.7%
Education Management
4.7%
Other
48.8%
Pharmaceuticals
12.4%
Banking
8.4%
Computer Software
8.2%
Higher Education
8.1%
Financial Services
6.3%
Other
56.7%
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 SAS Visual Data Mining and Machine Learning used for?
1 Comment
DG
SAS Visual Data Mining and Machine Learning is mainly used to analyze large data, find patterns, and build predictive models to support better business...Read more
SAS Viya has no more discussions with answers
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