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Compare Oracle Data Quality and SAP Data Management 
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At a Glance
Market Segments
Enterprise (48.1% of reviews)
Enterprise (67.7% 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)
Entry-Level Pricing
No pricing available
Learn more about Oracle Data QualitySAP Data Management
Star Rating
(32)4.0 out of 5
Market Segments
Enterprise (67.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about SAP Data ManagementSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Oracle Data Quality excels in ease of setup with a score of 9.0, making it a preferred choice for organizations looking to implement data quality solutions quickly. In contrast, SAP Data Management has a lower setup score of 7.8, which some reviewers mention can lead to a more complex initial configuration process.
- Reviewers mention that Oracle Data Quality offers superior functionality in data matching, scoring 8.5, which is crucial for organizations needing accurate data reconciliation. SAP Data Management, while competent, received a lower score in this area, indicating it may not meet the same level of precision for data matching tasks.
- G2 users highlight Oracle Data Quality's robust reporting capabilities, with a score of 9.0, allowing for detailed insights and analytics. In comparison, SAP Data Management's reporting features scored lower at 7.4, leading some users to express a desire for more comprehensive reporting tools.
- Users on G2 appreciate Oracle Data Quality's strong governance features, scoring 8.8, which helps organizations maintain compliance and data integrity. SAP Data Management, with a score of 7.4 in governance, has been noted by reviewers as lacking some essential compliance tools.
- Reviewers mention that Oracle Data Quality shines in its automation capabilities, scoring 8.2, which streamlines data processes effectively. Conversely, SAP Data Management's automation features received a lower score, with users indicating that they could benefit from more advanced automation options.
- Users say that Oracle Data Quality's international verification functionality is particularly strong, scoring 8.6, making it ideal for global organizations. SAP Data Management, while offering international features, did not receive the same level of praise, with users noting that its international verification could be improved.
Pricing
Entry-Level Pricing
Oracle Data Quality
No pricing availableSAP Data Management
No pricing availableFree Trial
Oracle Data Quality
No trial information availableSAP Data Management
No trial information availableRatings
Meets Requirements
8.3
48
8.4
29
Ease of Use
7.8
48
7.2
29
Ease of Setup
9.0
12
7.5
8
Ease of Admin
9.2
13
7.1
8
Quality of Support
8.4
44
7.4
26
Has the product been a good partner in doing business?
8.7
13
8.1
8
Product Direction (% positive)
7.8
47
7.1
28
Features by Category
Data Integration
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
Agentic AI - Data Management Platform (DMP)
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
Data Analysis & Optimization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
9.2
16
Not enough data
8.6
16
Not enough data
8.8
16
Not enough data
8.6
16
Not enough data
8.5
14
Not enough data
Management
9.0
16
Not enough data
8.2
16
Not enough data
8.7
14
Not enough data
8.8
14
Not enough data
8.8
14
Not enough data
Generative AI
8.6
14
Not enough data
8.7
14
Not enough data
Categories
Categories
Shared Categories
Oracle Data Quality and SAP Data Management are categorized as Data Quality
Unique Categories
Oracle Data Quality has no unique categories
SAP Data Management is categorized as Address Verification, On-Premise Data Integration, and Data Management Platform (DMP)
Reviews
Reviewers' Company Size
Oracle Data Quality
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP Data Management
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%
Higher Education
12.9%
Computer Software
9.7%
Consumer Goods
6.5%
Construction
6.5%
Biotechnology
6.5%
Other
58.1%
Alternatives
Discussions
Oracle Data Quality has no discussions with answers
SAP Data Management has no discussions with answers
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