Compare SAS Viya and Statista
At a Glance
Market Segments
Small-Business (34.2% of reviews)
Small-Business (42.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
SAS Viya
Star Rating
(797)4.3 out of 5
Market Segments
Small-Business (34.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS Viya
Statista
Star Rating
(29)4.4 out of 5
Market Segments
Small-Business (42.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Statista
Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SAS Viya excels in providing a modern, cloud-based environment that enhances accessibility and collaboration. Users appreciate its ability to integrate data preparation, advanced analytics, and machine learning seamlessly, making it a powerful tool for teams working remotely.
- Users say Statista stands out for its proprietary data offerings, which many find invaluable for staying informed about industry trends. Reviewers highlight the platform's ease of navigation and the helpful AI feature that simplifies searching for relevant topics, making it a go-to resource for quick insights.
- According to verified reviews, SAS Viya's user-friendly interface is frequently praised, with users noting that it combines the reliability of traditional SAS with a modern design. This balance allows for a smoother user experience, particularly for those new to advanced analytics.
- Reviewers mention that while Statista has a strong focus on delivering quick and easy insights, it may not have the same depth of analytical features as SAS Viya. Users appreciate Statista's enhancements that boost platform usage, but some may find themselves needing more advanced capabilities for complex data analysis.
- G2 reviewers highlight that both products offer quality support, but SAS Viya's extensive user base and recent activity suggest a more robust community for troubleshooting and sharing best practices. This can be particularly beneficial for users looking for immediate assistance or guidance.
- Users report that while Statista has a slightly higher score for ease of setup, SAS Viya's cloud-native architecture allows for greater scalability and flexibility, which can be crucial for businesses looking to grow and adapt their analytics capabilities over time.
Pricing
Entry-Level Pricing
SAS Viya
No pricing availableStatista
No pricing availableFree Trial
SAS Viya
Free Trial is available
Statista
No trial information availableRatings
Meets Requirements
8.5
548
8.3
19
Ease of Use
8.2
636
8.4
21
Ease of Setup
8.0
486
8.8
14
Ease of Admin
7.6
158
8.2
10
Quality of Support
8.3
518
8.3
18
Has the product been a good partner in doing business?
8.2
161
8.5
11
Product Direction (% positive)
8.9
544
7.3
17
Features by Category
Reports
8.4
259
Not enough data
8.1
236
Not enough data
8.5
243
Not enough data
8.1
233
Not enough data
8.4
237
Not enough data
Data Preparation
8.4
211
Not enough data
8.4
211
Not enough data
Data Modeling and Blending
8.5
209
Not enough data
8.7
208
Not enough data
8.5
211
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Agentic AI - Analytics Platforms
7.9
93
Not enough data
7.9
91
Not enough data
8.1
92
Not enough data
8.1
90
Not enough data
7.9
90
Not enough data
7.7
90
Not enough data
8.1
90
Not enough data
Self Service
8.3
231
Not enough data
8.4
231
Not enough data
8.4
233
Not enough data
8.1
228
Not enough data
8.1
230
Not enough data
8.2
225
Not enough data
Deployment & Integration - Analytics Platforms
8.4
95
Not enough data
8.3
93
Not enough data
8.1
89
Not enough data
8.4
93
Not enough data
Advanced Analytics
8.5
237
Not enough data
8.8
237
Not enough data
8.6
241
Not enough data
Performance & Scalability - Analytics Platforms
8.5
116
Not enough data
8.4
94
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.5
97
Not enough data
8.4
101
Not enough data
8.6
99
Not enough data
Agentic AI Capabilities - Analytics Platforms
7.8
91
Not enough data
7.9
89
Not enough data
8.0
88
Not enough data
7.8
88
Not enough data
Personalized Intelligence - Analytics Platforms
8.1
89
Not enough data
7.9
88
Not enough data
7.8
90
Not enough data
Building Reports
8.5
205
Not enough data
8.5
199
Not enough data
7.8
195
Not enough data
8.0
198
Not enough data
Data Source Access
8.6
117
Not enough data
8.4
119
Not enough data
8.2
114
Not enough data
Data Interaction
8.5
115
Not enough data
8.2
114
Not enough data
8.5
114
Not enough data
8.8
113
Not enough data
8.8
114
Not enough data
8.8
115
Not enough data
8.4
112
Not enough data
8.5
113
Not enough data
Data Exporting
8.4
114
Not enough data
8.3
115
Not enough data
8.5
111
Not enough data
Generative AI
Feature Not Available
Not enough data
Data
8.6
12
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.5
12
Not enough data
Analytics
7.9
12
Not enough data
Administration
8.5
26
Not enough data
8.5
25
Not enough data
8.3
25
Not enough data
8.8
27
Not enough data
Management
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
Not enough data
Compliance
8.5
25
Not enough data
Feature Not Available
Not enough data
8.4
25
Not enough data
8.6
25
Not enough data
Security
8.7
26
Not enough data
8.3
23
Not enough data
Feature Not Available
Not enough data
Data Quality
8.6
27
Not enough data
8.6
25
Not enough data
8.5
26
Not enough data
Maintainence
8.4
24
Not enough data
Feature Not Available
Not enough data
Generative AI
7.9
25
Not enough data
8.0
25
Not enough data
Agentic AI - Data Governance
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
Not enough data
Administration
8.9
136
7.5
14
8.9
140
8.1
14
8.8
137
8.6
12
Capabilities
9.3
144
8.5
16
8.9
139
7.4
15
8.7
137
7.6
15
8.6
134
7.4
15
Methodology
8.9
138
6.1
12
9.2
140
7.3
14
9.1
139
7.4
14
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Deployment
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
Not enough data
Deployment
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
Not enough data
Management
7.6
13
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.5
14
Not enough data
Operations
8.8
14
Not enough data
7.9
14
Not enough data
8.8
14
Not enough data
Management
7.9
13
Not enough data
8.2
14
Not enough data
8.1
13
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.4
74
Not enough data
Model Development
8.1
89
Not enough data
8.6
82
Not enough data
8.3
82
Not enough data
8.7
82
Not enough data
Model Development
8.3
71
Not enough data
Machine/Deep Learning Services
7.4
76
Not enough data
7.6
78
Not enough data
7.3
76
Not enough data
8.0
78
Not enough data
Machine/Deep Learning Services
7.6
70
Not enough data
7.9
72
Not enough data
Deployment
8.1
80
Not enough data
8.0
77
Not enough data
8.2
82
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Financial Planning
7.8
10
Not enough data
8.2
10
Not enough data
8.5
10
Not enough data
Agentic AI - FP&A (Financial Planning & Analysis)
Not enough data
Not enough data
Not enough data
Not enough data
Financial Insight
8.0
10
Not enough data
8.8
10
Not enough data
7.9
11
Not enough data
Data
8.6
11
Not enough data
8.5
10
Not enough data
8.2
10
Not enough data
8.5
10
Not enough data
Status Communication
7.8
10
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
8.5
11
Not enough data
Management
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
Not enough data
Maintenance
8.7
26
Not enough data
8.9
27
Not enough data
9.0
26
Not enough data
Security
8.9
28
Not enough data
8.6
28
Not enough data
Integration
8.0
20
Not enough data
8.2
19
Not enough data
Business Logic
7.5
19
Not enough data
7.3
19
Not enough data
8.2
19
Not enough data
Management
7.7
18
Not enough data
7.5
19
Not enough data
Analytics
8.4
20
Not enough data
7.6
19
Not enough data
Deployment
8.2
19
Not enough data
7.6
17
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Agentic AI - Decision Management Platforms
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
Not enough data
Setup
7.7
19
Not enough data
7.5
19
Not enough data
8.0
19
Not enough data
Data
8.3
20
Not enough data
8.6
19
Not enough data
Analysis
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
Not enough data
Customization
7.6
18
Not enough data
7.5
19
Not enough data
8.1
19
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Integration - Machine Learning
8.3
36
Not enough data
Learning - Machine Learning
8.5
38
Not enough data
8.5
39
Not enough data
8.6
37
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
8.7
15
Not enough data
8.7
15
Not enough data
9.0
15
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
9.0
15
Not enough data
8.8
15
Not enough data
8.7
15
Not enough data
Statistical Tool
8.6
75
Not enough data
8.7
74
Not enough data
8.6
74
Not enough data
Data Analysis
8.9
74
Not enough data
8.8
74
Not enough data
Decision Making
8.8
79
Not enough data
9.1
79
Not enough data
8.9
78
Not enough data
8.7
76
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Functionality
8.7
66
Not enough data
8.8
65
Not enough data
9.0
63
Not enough data
8.8
63
Not enough data
8.9
62
Not enough data
Management
9.2
65
Not enough data
9.0
61
Not enough data
8.9
63
Not enough data
9.0
61
Not enough data
Feature Not Available
Not enough data
Generative AI
8.3
59
Not enough data
8.3
60
Not enough data
Building Reports
8.5
205
Not enough data
8.5
199
Not enough data
7.8
195
Not enough data
8.0
198
Not enough data
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
SAS Viya and Statista are categorized as Statistical Analysis
Unique Categories
SAS Viya is categorized as MLOps Platforms, 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
Statista has no unique categories
Reviews
Reviewers' Company Size
SAS Viya
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Statista
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
Pharmaceuticals
12.4%
Banking
8.9%
Computer Software
8.0%
Higher Education
8.0%
Financial Services
6.1%
Other
56.7%
Marketing and Advertising
21.4%
Staffing and Recruiting
7.1%
Computer Software
7.1%
Market Research
7.1%
Information Technology and Services
7.1%
Other
50.0%
Alternatives
Discussions
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
What is the best way to learn this software for non technical people
1 Comment
ER
With the advancements in technology, you can start learning from YouTube, which has a wide variety of reviews and tutorials for people who don't know how to...Read more
Statista has no more discussions with answers
