Oracle Data Quality vs SAP Data Quality Management comparison

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Executive Summary

We performed a comparison between Oracle Data Quality and SAP Data Quality Management based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Venkatraman Bhat
Rene Dorantes
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"With Oracle Data Quality, the most valuable feature is entity matching.""I have found the most valuable features to be data cleansing and deduplication.""The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company.""Once it is set up, it is easy to use and maintain."

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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.""We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."

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Cons
"If the length of time required for deployment was reduced then it would be very helpful.""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.""Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.""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."

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"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management.""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:The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator I… more »
    Top Answer:Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more… more »
    Top Answer:We're mostly using Oracle Data Quality during the ETVL process, or to make sure that there's one source of truth and that there's no redundancy at all. We're also using the solution for quality… more »
    Top Answer:We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very… more »
    Top Answer:SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all… more »
    Top Answer:In the last three years, my company used SAP Data Quality Management for a manufacturing site, particularly for creating inspection lots, recording the results, and costing the inspection lots from… more »
    Ranking
    10th
    out of 44 in Data Quality
    Views
    497
    Comparisons
    232
    Reviews
    1
    Average Words per Review
    936
    Rating
    9.0
    5th
    out of 44 in Data Quality
    Views
    1,138
    Comparisons
    964
    Reviews
    1
    Average Words per Review
    813
    Rating
    9.0
    Comparisons
    Also Known As
    Datanomic
    SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
    Learn More
    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.
    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
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company9%
    Manufacturing Company8%
    Real Estate/Law Firm4%
    VISITORS READING REVIEWS
    Manufacturing Company16%
    Financial Services Firm13%
    Energy/Utilities Company11%
    Computer Software Company10%
    Company Size
    REVIEWERS
    Midsize Enterprise22%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Data Quality
    March 2024
    Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Oracle Data Quality is ranked 10th in Data Quality with 8 reviews while SAP Data Quality Management is ranked 5th in Data Quality with 2 reviews. Oracle Data Quality is rated 8.4, while SAP Data Quality Management is rated 8.6. The top reviewer of Oracle Data Quality writes "Fast, has good extraction, validation, and transformation features, and provides good support". On the other hand, the top reviewer of SAP Data Quality Management writes "Scalable, stable, and offers good technical support". 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, Melissa Data Quality, Informatica Address Verification and Syniti Data Quality.

    See our list of best Data Quality vendors.

    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.