Compare Oracle Data Quality vs. SAP Data Quality Management

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Find out what your peers are saying about SAP, SAS, Melissa and others in Data Quality. Updated: September 2020.
438,043 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pricing and Cost Advice
"The vendor needs to revisit their pricing strategy."

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Questions from the Community
Top Answer: Once it is set up, it is easy to use and maintain.
Top Answer: There are some challenges with respect to standardization, matching, segregation, and merging. Our technical team has not found this to be problematic but it has been reported by some of our… more »
Top Answer: We are a system integrator and software solutions company, and Oracle Data Quality is one of the solutions that we use to provide services. In a multiple-system integration scenario, there is data… more »
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Ranking
7th
out of 45 in Data Quality
Views
471
Comparisons
272
Reviews
1
Average Words per Review
686
Avg. Rating
9.0
15th
out of 45 in Data Quality
Views
576
Comparisons
505
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Popular Comparisons
Also Known As
DatanomicSAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
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Oracle
SAP
Overview
Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.SAP BusinessObjects Data Quality Management, version for SAP solutions (DQM for SAP), enables you to embed support for data quality directly into SAP ERP,CRM and MDG applications. Start by entering a new customer, supplier, or partner record using the SAP ERP, SAP CRM , SAP MDG applications. Then this version of SAP BusinessObjects Data Quality Management software corrects components of the address, validates the address based on referential data sources, and formats the address according to the norms of the applicable country. This solution helps in avoiding the duplicate entities entering into your SAP ERP, CRM and MDG applications(supports different MDG data models for address validation and duplicate checks) and also helps in searching and improving your existing data.
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Sample Customers
Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group, AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company52%
Comms Service Provider7%
Wholesaler/Distributor7%
Retailer5%
Find out what your peers are saying about SAP, SAS, Melissa and others in Data Quality. Updated: September 2020.
438,043 professionals have used our research since 2012.
Oracle Data Quality is ranked 7th in Data Quality with 1 review while SAP Data Quality Management is ranked 15th in Data Quality. Oracle Data Quality is rated 9.0, while SAP Data Quality Management is rated 0.0. The top reviewer of Oracle Data Quality writes "Easy to use and maintain, integrates well, and can handle any type of data". On the other hand, Oracle Data Quality is most compared with Informatica Data Quality, whereas SAP Data Quality Management is most compared with SAP Information Steward, SAP Data Services, Informatica Data Quality, Experian Data Quality and Precisely Trillium.

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