Compare Oracle Data Quality vs. SAP Data Quality Management

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Quotes From Members

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

Pros
"Once it is set up, it is easy to use and maintain.""With Oracle Data Quality, the most valuable feature is entity matching.""I have found the most valuable features to be data cleansing and deduplication."

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"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."

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Cons
"If the length of time required for deployment was reduced then it would be very helpful.""Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script.""Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."

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"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."

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Pricing and Cost Advice
"The vendor needs to revisit their pricing strategy.""The price of this solution is comparable to other similar solutions."

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Questions from the Community
Top Answer: With Oracle Data Quality, the most valuable feature is entity matching.
Top Answer: We are looking for a really good data integration tool. Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL… more »
Top Answer: We use it in the university fundraising industry. Once students graduate and start giving to the university, they become donors. Then, we need to maintain their giving history. Giving is quite… more »
Top Answer: Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product.
Top Answer: I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this… more »
Top Answer: Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product.
Ranking
7th
out of 41 in Data Quality
Views
292
Comparisons
199
Reviews
3
Average Words per Review
528
Rating
8.0
11th
out of 41 in Data Quality
Views
1,002
Comparisons
890
Reviews
1
Average Words per Review
226
Rating
8.0
Comparisons
Also Known As
Datanomic
SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
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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.
Offer
Learn more about Oracle Data Quality
Learn more about SAP Data Quality Management
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
REVIEWERS
Government29%
Energy/Utilities Company14%
Recruiting/Hr Firm14%
Financial Services Firm14%
VISITORS READING REVIEWS
Computer Software Company47%
Energy/Utilities Company15%
Comms Service Provider12%
Financial Services Firm10%
VISITORS READING REVIEWS
Computer Software Company39%
Comms Service Provider14%
Energy/Utilities Company8%
Manufacturing Company6%
Company Size
REVIEWERS
Midsize Enterprise25%
Large Enterprise75%
No Data Available
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: August 2021.
533,638 professionals have used our research since 2012.

Oracle Data Quality is ranked 7th in Data Quality with 3 reviews while SAP Data Quality Management is ranked 11th in Data Quality with 1 review. Oracle Data Quality is rated 8.0, while SAP Data Quality Management is rated 8.0. 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, the top reviewer of SAP Data Quality Management writes "Has good scalability, it is easy to add new products". 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, Precisely Trillium, Experian Data Quality and Informatica Address Verification.

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We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.