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Compare Microsoft Fabric and SAS Viya 
Featured Products
At a Glance
Market Segments
Enterprise (55.6% of reviews)
Small-Business (35.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Microsoft Fabric
Star Rating
(18)4.6 out of 5
Market Segments
Enterprise (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft FabricSAS Viya
Star Rating
(619)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.
- G2 reviewers report that SAS Viya excels in its ability to streamline data for further analysis, with users appreciating its seamless integration with SAS 9 and its cloud-native design, which enhances performance for large-scale datasets.
- Users say Microsoft Fabric stands out for its unified platform that combines data engineering, ETL, analytics, and visualization, making it a comprehensive solution for business intelligence needs. Reviewers highlight the integration of tools like Data Factory and Power BI as a significant advantage.
- According to verified reviews, SAS Viya's strong governance and security features are particularly valued in regulated environments, with users noting its in-memory CSR engine as a key factor for enabling fast analytics without the need to rewrite existing code.
- Reviewers mention that Microsoft Fabric's ease of use is a major selling point, with many praising its intuitive interface and the high number of features available, which simplifies the data engineering process.
- G2 reviewers highlight that while SAS Viya has a solid reputation for quality support, Microsoft Fabric outshines it in this area, with users reporting higher satisfaction levels regarding the quality of support and overall product direction.
- Users express that SAS Viya's implementation process is generally smooth, but Microsoft Fabric's recent reviews suggest it may offer a more streamlined setup experience, contributing to its higher ratings in ease of setup and deployment.
Pricing
Entry-Level Pricing
Microsoft Fabric
No pricing availableSAS Viya
No pricing availableFree Trial
Microsoft Fabric
No trial information availableSAS Viya
Free Trial is available
Ratings
Meets Requirements
9.3
18
8.5
495
Ease of Use
9.0
18
8.1
552
Ease of Setup
9.0
7
8.0
414
Ease of Admin
Not enough data
7.5
145
Quality of Support
9.1
18
8.3
469
Has the product been a good partner in doing business?
Not enough data
8.2
148
Product Direction (% positive)
10.0
18
8.9
494
Features by Category
Reports
Not enough data
8.3
238
Not enough data
8.0
233
Not enough data
8.5
235
Not enough data
8.1
233
Not enough data
8.4
229
Data Preparation
Not enough data
8.4
210
Not enough data
8.3
206
Data Modeling and Blending
Not enough data
8.4
210
Not enough data
8.7
208
Not enough data
8.5
210
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Analytics Platforms
Not enough data
7.8
93
Not enough data
7.9
91
Not enough data
8.0
91
Not enough data
8.0
90
Not enough data
7.9
90
Not enough data
7.6
90
Not enough data
8.1
90
Self Service
Not enough data
8.3
231
Not enough data
8.3
231
Not enough data
8.4
230
Not enough data
8.2
229
Not enough data
8.1
228
Not enough data
8.2
227
Deployment & Integration - Analytics Platforms
Not enough data
8.3
89
Not enough data
8.2
90
Not enough data
8.1
89
Not enough data
8.5
89
Advanced Analytics
Not enough data
8.4
230
Not enough data
8.8
228
Not enough data
8.5
227
Performance & Scalability - Analytics Platforms
Not enough data
8.5
90
Not enough data
8.4
90
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.3
92
Not enough data
8.3
90
Not enough data
8.4
92
Agentic AI Capabilities - Analytics Platforms
Not enough data
7.8
89
Not enough data
7.9
88
Not enough data
8.0
88
Not enough data
7.8
89
Personalized Intelligence - Analytics Platforms
Not enough data
8.1
89
Not enough data
8.0
88
Not enough data
7.9
89
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
Not enough data
8.5
113
Not enough data
8.3
115
Not enough data
8.1
111
Data Interaction
Not enough data
8.5
112
Not enough data
8.1
111
Not enough data
8.4
112
Not enough data
8.7
110
Not enough data
8.7
110
Not enough data
8.7
111
Not enough data
8.3
110
Not enough data
8.5
109
Data Exporting
Not enough data
8.4
109
Not enough data
8.2
109
Not enough data
8.5
108
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
8.3
23
Not enough data
8.6
23
Not enough data
8.3
23
Not enough data
8.6
24
Management
Not enough data
8.1
24
Not enough data
8.3
23
Not enough data
8.6
23
Not enough data
8.8
21
Not enough data
7.8
23
Compliance
Not enough data
8.3
22
Not enough data
Feature Not Available
Not enough data
8.3
23
Not enough data
8.5
23
Security
Not enough data
8.6
23
Not enough data
8.3
21
Not enough data
Feature Not Available
Data Quality
Not enough data
8.5
24
Not enough data
8.5
23
Not enough data
8.3
23
Maintainence
Not enough data
8.3
22
Not enough data
Feature Not Available
Generative AI
Not enough data
7.8
23
Not enough data
8.0
23
Agentic AI - Data Governance
Not enough data
8.7
5
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
8.7
5
Not enough data
9.3
5
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
8.9
16
8.1
13
8.9
16
8.1
14
8.8
16
8.2
13
8.9
16
8.5
14
9.2
16
8.3
14
Deployment
9.0
16
8.2
14
9.3
16
8.3
13
9.2
16
8.3
13
9.2
16
8.2
14
9.3
16
8.7
13
Management
8.8
15
7.6
13
8.9
16
8.5
13
9.0
15
8.5
13
9.0
15
8.5
14
Operations
9.0
16
8.8
14
9.0
16
7.9
14
9.1
16
8.8
14
Management
8.6
16
7.9
13
8.7
15
8.2
14
8.7
15
8.1
13
Generative AI
8.1
14
Feature Not Available
8.2
14
Feature Not Available
System
Not enough data
8.4
67
Model Development
Not enough data
8.0
79
Not enough data
8.5
76
Not enough data
8.2
76
Not enough data
8.6
76
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
8.1
75
Not enough data
8.0
72
Not enough data
8.0
73
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
27
Not enough data
9.0
28
Not enough data
9.3
28
Not enough data
8.9
27
Not enough data
8.8
27
Maintenance
Not enough data
8.7
26
Not enough data
8.8
26
Not enough data
9.0
26
Security
Not enough data
8.9
28
Not enough data
8.6
27
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
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
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
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
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
Microsoft Fabric and SAS Viya are categorized as MLOps Platforms
Unique Categories
Microsoft Fabric has no unique categories
SAS Viya is categorized as Statistical Analysis, Data Governance, Event Stream Processing, Data Preparation, Text Analysis, Data Science and Machine Learning Platforms, Machine Learning, 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
Microsoft Fabric
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
16.7%
Education Management
16.7%
Manufacturing
11.1%
Electrical/Electronic Manufacturing
11.1%
Consulting
5.6%
Other
38.9%
Pharmaceuticals
13.7%
Higher Education
9.0%
Banking
8.5%
Financial Services
6.6%
Information Technology and Services
6.4%
Other
55.7%
Alternatives
Discussions
Microsoft Fabric has no discussions with answers
SAS Viya has no discussions with answers
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