Introducing G2.ai, the future of software buying.Try now
Compare PyTorch and SAS Viya 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
DocuPipe
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Kpow for Apache Kafka®
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Aleph
Visit Website
At a Glance
Market Segments
Small-Business (42.9% of reviews)
Small-Business (35.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
PyTorch
Star Rating
(22)4.5 out of 5
Market Segments
Small-Business (42.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about PyTorchSAS Viya
Star Rating
(613)4.3 out of 5
Market Segments
Small-Business (35.4% 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.
- Users report that PyTorch excels in "Neural Network Training" with a score of 8.5, highlighting its flexibility and ease of use for deep learning projects, while SAS Viya, with a score of 8.3, is noted for its robust "Model Development" capabilities but may not offer the same level of customization.
- Reviewers mention that PyTorch's "Real-Time Processing" feature scores an impressive 8.8, making it a preferred choice for applications requiring immediate data analysis, whereas SAS Viya's score of 7.6 in this area indicates it may lag behind in real-time capabilities.
- G2 users highlight that PyTorch's "Data Visualization" tools are rated at 8.6, providing users with powerful options for presenting data insights, while SAS Viya's score of 8.3 suggests it offers solid visualization features but lacks some of the advanced options found in PyTorch.
- Users on G2 report that PyTorch's "Ease of Setup" is a significant advantage, scoring 8.6, which reviewers say contributes to a smoother onboarding experience compared to SAS Viya, which has a lower score of 7.9 in this category.
- Reviewers mention that SAS Viya shines in "Quality of Support" with a score of 8.3, indicating a strong customer service experience, while PyTorch's score of 7.9 suggests that users may encounter more challenges when seeking assistance.
- Users say that PyTorch's "Framework Flexibility" is a standout feature with a score of 8.5, allowing for diverse applications in machine learning, while SAS Viya's score of 8.1 indicates it is less adaptable in this regard, which may limit its use in certain projects.
Pricing
Entry-Level Pricing
PyTorch
No pricing availableSAS Viya
No pricing availableFree Trial
PyTorch
No trial information availableSAS Viya
Free Trial is available
Ratings
Meets Requirements
9.2
17
8.5
491
Ease of Use
8.6
18
8.1
547
Ease of Setup
Not enough data
7.9
409
Ease of Admin
Not enough data
7.5
143
Quality of Support
7.9
17
8.3
465
Has the product been a good partner in doing business?
Not enough data
8.2
146
Product Direction (% positive)
10.0
17
8.9
490
Features by Category
Reports
Not enough data
8.3
237
Not enough data
8.0
232
Not enough data
8.5
234
Not enough data
8.1
232
Not enough data
8.4
228
Data Preparation
Not enough data
8.4
209
Not enough data
8.3
204
Data Modeling and Blending
Not enough data
8.4
209
Not enough data
8.7
207
Not enough data
8.5
209
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Analytics Platforms
Not enough data
7.9
92
Not enough data
7.9
90
Not enough data
8.0
90
Not enough data
8.0
89
Not enough data
7.9
89
Not enough data
7.6
89
Not enough data
8.1
89
Self Service
Not enough data
8.3
230
Not enough data
8.3
230
Not enough data
8.4
229
Not enough data
8.2
228
Not enough data
8.1
226
Not enough data
8.2
226
Deployment & Integration - Analytics Platforms
Not enough data
8.3
88
Not enough data
8.2
89
Not enough data
8.1
88
Not enough data
8.5
88
Advanced Analytics
Not enough data
8.4
228
Not enough data
8.7
226
Not enough data
8.5
223
Performance & Scalability - Analytics Platforms
Not enough data
8.5
88
Not enough data
8.4
88
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.3
90
Not enough data
8.3
88
Not enough data
8.4
90
Agentic AI Capabilities - Analytics Platforms
Not enough data
7.8
88
Not enough data
7.9
87
Not enough data
8.0
87
Not enough data
7.8
88
Personalized Intelligence - Analytics Platforms
Not enough data
8.1
88
Not enough data
8.0
87
Not enough data
7.9
88
Building Reports
Not enough data
8.5
198
Not enough data
8.5
196
Not enough data
7.8
192
Not enough data
7.9
193
Data Source Access
Not enough data
8.6
112
Not enough data
8.3
113
Not enough data
8.1
110
Data Interaction
Not enough data
8.5
111
Not enough data
8.2
110
Not enough data
8.5
111
Not enough data
8.7
109
Not enough data
8.7
109
Not enough data
8.7
110
Not enough data
8.3
109
Not enough data
8.5
108
Data Exporting
Not enough data
8.4
108
Not enough data
8.2
108
Not enough data
8.5
107
Generative AI
Not enough data
Feature Not Available
Data
Not enough data
8.6
12
Not enough data
8.6
12
Not enough data
8.1
12
Not enough data
8.5
12
Analytics
Not enough data
7.9
12
Administration
Not enough data
8.4
22
Not enough data
8.6
22
Not enough data
8.3
22
Not enough data
8.7
23
Management
Not enough data
8.0
23
Not enough data
8.3
22
Not enough data
8.6
22
Not enough data
8.9
20
Not enough data
7.8
22
Compliance
Not enough data
8.3
21
Not enough data
Feature Not Available
Not enough data
8.3
22
Not enough data
8.5
22
Security
Not enough data
8.6
22
Not enough data
8.3
20
Not enough data
Feature Not Available
Data Quality
Not enough data
8.6
23
Not enough data
8.5
22
Not enough data
8.3
22
Maintainence
Not enough data
8.3
21
Not enough data
Feature Not Available
Generative AI
Not enough data
7.8
22
Not enough data
8.0
22
Agentic AI - Data Governance
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
Administration
Not enough data
8.8
134
Not enough data
8.9
137
Not enough data
8.8
134
Capabilities
Not enough data
9.2
138
Not enough data
8.9
136
Not enough data
8.7
135
Not enough data
8.6
132
Methodology
Not enough data
8.9
135
Not enough data
9.2
137
Not enough data
9.1
136
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
Not enough data
8.1
12
Not enough data
8.2
13
Not enough data
8.2
12
Not enough data
8.6
13
Not enough data
8.5
13
Deployment
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.5
12
Not enough data
8.3
13
Not enough data
8.8
12
Management
Not enough data
7.6
12
Not enough data
8.5
12
Not enough data
8.5
12
Not enough data
8.6
13
Operations
Not enough data
8.8
13
Not enough data
7.9
13
Not enough data
8.8
13
Management
Not enough data
7.9
12
Not enough data
8.3
13
Not enough data
8.2
12
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
Not enough data
8.4
67
Model Development
Not enough data
8.0
78
Not enough data
8.5
76
Not enough data
8.2
75
Not enough data
8.6
75
Model Development
Not enough data
8.4
66
Machine/Deep Learning Services
Not enough data
7.3
72
Not enough data
7.6
73
Not enough data
7.3
72
Not enough data
7.9
72
Machine/Deep Learning Services
Not enough data
7.5
66
Not enough data
7.9
66
Deployment
Not enough data
8.2
74
Not enough data
8.0
72
Not enough data
8.0
72
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
7.6
26
Not enough data
7.2
26
Not enough data
7.4
26
Not enough data
7.1
26
Not enough data
7.0
26
Not enough data
7.0
26
Not enough data
7.4
26
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
26
Not enough data
9.0
27
Not enough data
9.4
27
Not enough data
9.0
26
Not enough data
8.9
26
Maintenance
Not enough data
8.8
25
Not enough data
8.9
25
Not enough data
9.1
25
Security
Not enough data
9.0
27
Not enough data
8.6
26
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
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
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
Agentic AI - Artificial Neural Network
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
Integration - Machine Learning
Not enough data
8.2
34
Learning - Machine Learning
Not enough data
8.4
36
Not enough data
8.4
36
Not enough data
8.5
35
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
8.7
14
Not enough data
8.8
14
Not enough data
9.0
14
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
9.0
14
Not enough data
8.9
14
Not enough data
8.7
14
Statistical Tool
Not enough data
8.6
66
Not enough data
8.7
67
Not enough data
8.6
67
Data Analysis
Not enough data
8.9
66
Not enough data
8.8
66
Decision Making
Not enough data
8.7
67
Not enough data
9.0
68
Not enough data
8.8
67
Not enough data
8.6
67
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Functionality
Not enough data
8.7
64
Not enough data
8.7
64
Not enough data
9.0
62
Not enough data
8.8
63
Not enough data
8.8
62
Management
Not enough data
9.2
64
Not enough data
9.0
61
Not enough data
8.9
63
Not enough data
8.9
61
Not enough data
Feature Not Available
Generative AI
Not enough data
8.2
59
Not enough data
8.2
60
Building Reports
Not enough data
8.5
198
Not enough data
8.5
196
Not enough data
7.8
192
Not enough data
7.9
193
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
PyTorch and SAS Viya are categorized as Machine Learning
Unique Categories
PyTorch is categorized as Artificial Neural Network
SAS Viya is categorized as MLOps Platforms, Statistical Analysis, Data Governance, Event Stream Processing, Data Preparation, Text Analysis, Data Science and Machine Learning Platforms, Analytics Platforms, Predictive Analytics, Database Management Systems (DBMS), FP&A (Financial Planning & Analysis), Data Quality, Decision Management Platforms, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
PyTorch
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
Computer Software
28.6%
Research
14.3%
Telecommunications
9.5%
Information Technology and Services
9.5%
Automotive
9.5%
Other
28.6%
Pharmaceuticals
13.7%
Higher Education
9.1%
Banking
8.2%
Financial Services
6.7%
Information Technology and Services
6.3%
Other
56.0%
Alternatives
Discussions
Do you use Pytorch for? (e.g. NLP, computer vision, reinforcement learning, etc)
1 Comment
IB
All of the paradigms for DeepLearning are supported for development by PyTorch Read more
What can you do with PyTorch?
1 Comment
AG
PyTorch is mostly used to train large ML/DL models.Read more
PyTorch has no more discussions with answers
SAS Viya has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
