IBM QualityStage vs Oracle Data Quality comparison

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Executive Summary

We performed a comparison between IBM QualityStage and Oracle Data Quality 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).
763,955 professionals have used our research since 2012.
Featured Review
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
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  • "The vendor needs to revisit their pricing strategy."
  • "The price of this solution is comparable to other similar solutions."
  • More Oracle Data Quality Pricing and Cost Advice →

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    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 »
    Ranking
    18th
    out of 44 in Data Quality
    Views
    222
    Comparisons
    156
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    10th
    out of 44 in Data Quality
    Views
    497
    Comparisons
    232
    Reviews
    1
    Average Words per Review
    936
    Rating
    9.0
    Comparisons
    Also Known As
    QualityStage
    Datanomic
    Learn More
    Overview
    IBM QualityStage is a foundational component for your data quality and information governance initiatives. It helps you create and maintain consistent views of key entities including customers, vendors, locations and products. This lets you investigate, cleanse and manage your data.
    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.
    Sample Customers
    PRO BTP, Gachon University Gil Hospital, Sicoob, NICE Systems, Integra LifeSciences Corp.
    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,
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company9%
    Manufacturing Company8%
    Real Estate/Law Firm4%
    Company Size
    No Data Available
    REVIEWERS
    Midsize Enterprise22%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise71%
    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.
    763,955 professionals have used our research since 2012.

    IBM QualityStage is ranked 18th in Data Quality while Oracle Data Quality is ranked 10th in Data Quality with 1 review. IBM QualityStage is rated 9.0, while Oracle Data Quality is rated 8.4. On the other hand, the top reviewer of Oracle Data Quality writes "Fast, has good extraction, validation, and transformation features, and provides good support". IBM QualityStage is most compared with IBM Infosphere Information Analyzer, whereas Oracle Data Quality is most compared with Informatica 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.