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At a Glance
Market Segments
Enterprise (48.1% of reviews)
Small-Business (35.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Oracle Data Quality
Star Rating
(54)4.0 out of 5
Market Segments
Enterprise (48.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Oracle Data QualitySAS 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 Oracle Data Quality excels in ease of setup, scoring 9.0 compared to SAS Viya's 7.9. Reviewers mention that the straightforward installation process allows teams to get started quickly without extensive technical knowledge.
- Reviewers mention that SAS Viya shines in automation capabilities, achieving a score of 9.2 versus Oracle Data Quality's 8.2. Users appreciate the advanced automation features that streamline data processing tasks, making it easier to maintain data quality over time.
- Users on G2 highlight Oracle Data Quality's superior identification features, scoring 9.2 compared to SAS Viya's 8.9. Reviewers say that the product's robust algorithms for identifying data anomalies are particularly effective, enhancing overall data integrity.
- Reviewers mention that SAS Viya offers a more comprehensive dashboard experience, with a score of 9.0 against Oracle Data Quality's 8.8. Users report that the intuitive dashboard design provides better visualization of data quality metrics, making it easier to monitor performance at a glance.
- G2 users note that Oracle Data Quality has a slight edge in quality audits, scoring 8.7 compared to SAS Viya's 8.9. Reviewers say that the detailed audit trails and reporting capabilities help organizations maintain compliance and track data quality improvements effectively.
- Users say that while both products perform well in correction and normalization, SAS Viya slightly outperforms Oracle Data Quality in these areas, with scores of 8.8 and 9.1 respectively. Reviewers mention that SAS Viya's normalization features are particularly praised for their ability to standardize data formats efficiently.
Pricing
Entry-Level Pricing
Oracle Data Quality
No pricing availableSAS Viya
No pricing availableFree Trial
Oracle Data Quality
No trial information availableSAS Viya
Free Trial is available
Ratings
Meets Requirements
8.3
48
8.5
491
Ease of Use
7.8
48
8.1
547
Ease of Setup
9.0
12
7.9
409
Ease of Admin
9.2
13
7.5
143
Quality of Support
8.4
44
8.3
465
Has the product been a good partner in doing business?
8.7
13
8.2
146
Product Direction (% positive)
7.8
47
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
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
9.2
16
8.7
64
8.6
16
8.7
64
8.8
16
9.0
62
8.6
16
8.8
63
8.5
14
8.8
62
Management
9.0
16
9.2
64
8.2
16
9.0
61
8.7
14
8.9
63
8.8
14
8.9
61
8.8
14
Feature Not Available
Generative AI
8.6
14
8.2
59
8.7
14
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
Oracle Data Quality and SAS Viya are categorized as Data Quality
Unique Categories
Oracle Data Quality has no unique categories
SAS Viya is categorized as MLOps Platforms, 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), Decision Management Platforms, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Oracle Data Quality
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
Hospital & Health Care
20.4%
Information Technology and Services
16.7%
Computer Software
11.1%
Research
5.6%
Transportation/Trucking/Railroad
3.7%
Other
42.6%
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
Oracle Data Quality has no discussions with answers
SAS Viya has no discussions with answers
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