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Compare IBM Watson Studio and SAS Viya 
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At a Glance
Market Segments
Enterprise (51.3% of reviews)
Small-Business (35.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM Watson Studio
Star Rating
(164)4.2 out of 5
Market Segments
Enterprise (51.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioSAS Viya
Star Rating
(618)4.3 out of 5
Market Segments
Small-Business (35.7% 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 IBM Watson Studio excels in Ease of Data Connectivity with a score of 9.3, making it easier to connect to various data sources compared to SAS Viya, which scored 8.3. This feature is particularly beneficial for organizations that require seamless integration of diverse data streams.
- Reviewers mention that SAS Viya offers superior Data Visualization capabilities, scoring 8.5, while IBM Watson Studio scored 8.3. Users appreciate the intuitive dashboards and visual analytics tools in SAS Viya that enhance data interpretation and presentation.
- G2 users highlight that IBM Watson Studio shines in Real-Time Processing with a score of 8.8, which is crucial for businesses needing immediate insights. In contrast, SAS Viya's performance in this area is less impressive, indicating a potential lag in real-time data handling.
- Users on G2 report that SAS Viya has a more robust Quality of Support with a score of 8.3 compared to IBM Watson Studio's 8.2. This suggests that SAS Viya may provide more effective customer service and support resources, which can be vital for troubleshooting and user assistance.
- Reviewers mention that IBM Watson Studio's Scalability is rated highly at 9.0, making it a preferred choice for enterprises looking to grow their data operations. SAS Viya, with a score of 7.9, may face challenges in scaling effectively as user demands increase.
- Users say that IBM Watson Studio's Collaboration features are rated at 8.9, facilitating teamwork and project management, while SAS Viya's score of 8.5 indicates slightly less effective collaborative tools. This can impact how teams work together on data projects.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing availableSAS Viya
No pricing availableFree Trial
IBM Watson Studio
No trial information availableSAS Viya
Free Trial is available
Ratings
Meets Requirements
8.3
121
8.5
492
Ease of Use
8.0
122
8.1
549
Ease of Setup
7.6
100
8.0
411
Ease of Admin
7.8
95
7.5
144
Quality of Support
8.2
113
8.3
466
Has the product been a good partner in doing business?
8.0
94
8.2
147
Product Direction (% positive)
8.5
115
8.9
491
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
205
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
225
Performance & Scalability - Analytics Platforms
Not enough data
8.5
89
Not enough data
8.4
89
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.4
91
Not enough data
8.3
89
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
197
Not enough data
7.8
192
Not enough data
7.9
193
Data Source Access
9.0
13
8.6
112
9.3
12
8.4
114
9.2
14
8.1
110
Data Interaction
9.0
14
8.5
111
9.2
12
8.2
110
9.4
12
8.5
111
9.1
13
8.7
109
9.2
12
8.7
109
9.2
13
8.7
110
9.1
13
8.3
109
9.6
12
8.5
108
Data Exporting
9.4
12
8.4
108
9.2
12
8.2
108
9.2
12
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
8.8
8
8.1
12
9.2
8
8.2
13
9.0
8
8.2
12
9.4
8
8.6
13
8.8
8
8.5
13
Deployment
9.0
8
8.2
13
8.8
8
8.3
12
8.8
8
8.5
12
9.4
8
8.3
13
9.2
8
8.8
12
Management
9.3
7
7.6
12
9.6
8
8.5
12
9.0
7
8.5
12
9.0
8
8.6
13
Operations
9.0
8
8.8
13
9.0
8
7.9
13
9.3
7
8.8
13
Management
9.5
7
7.9
12
9.4
8
8.3
13
8.8
7
8.2
12
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
9.0
12
8.4
67
Model Development
8.5
33
8.0
78
8.8
34
8.5
76
8.5
35
8.2
75
8.3
36
8.6
75
Model Development
9.4
13
8.4
66
Machine/Deep Learning Services
8.5
27
7.3
72
8.5
34
7.6
73
Feature Not Available
7.3
72
8.6
28
7.9
72
Machine/Deep Learning Services
8.9
12
7.5
66
9.0
12
7.9
66
Deployment
8.5
32
8.2
74
8.6
33
8.0
72
8.6
30
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
8.6
7
7.7
19
8.3
7
7.5
19
9.7
6
8.0
19
Data
8.6
7
8.3
20
8.6
7
8.6
19
Analysis
9.7
6
8.4
19
8.1
7
7.9
19
8.1
7
7.9
18
8.3
7
8.0
19
8.8
7
7.9
18
8.1
7
7.4
18
7.9
7
7.8
18
Customization
9.0
7
7.6
18
8.1
7
7.5
19
9.2
6
8.1
19
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
8.0
14
8.6
66
8.4
15
8.7
67
8.1
15
8.6
67
Data Analysis
8.7
15
8.9
66
9.0
14
8.8
66
Decision Making
8.6
14
8.7
67
8.6
15
9.0
68
8.3
13
8.8
67
8.7
14
8.6
67
Generative AI
9.3
5
Feature Not Available
8.3
5
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
197
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
IBM Watson Studio and SAS Viya are categorized as Text Analysis, Data Science and Machine Learning Platforms, Predictive Analytics, MLOps Platforms, and Data Preparation
Unique Categories
IBM Watson Studio has no unique categories
Reviews
Reviewers' Company Size
IBM Watson Studio
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
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
Pharmaceuticals
13.8%
Higher Education
9.1%
Banking
8.4%
Financial Services
6.6%
Information Technology and Services
6.3%
Other
55.8%
Alternatives
Discussions
IBM Watson Studio has no discussions with answers
SAS Viya has no discussions with answers
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