IBM QualityStage vs Informatica Cloud Data Quality comparison

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Executive Summary

We performed a comparison between IBM QualityStage and Informatica Cloud 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).
765,234 professionals have used our research since 2012.
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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:
Pricing and Cost Advice
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  • "We pay for a yearly subscription."
  • "The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
  • More Informatica Cloud Data Quality Pricing and Cost Advice →

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    Top Answer:The profiling features are much better than the on-premise version.
    Top Answer:We have complex datasets. Logical views are a little bit behind in comparison to the on-premise version.
    Top Answer:The solution is used for data quality implementation. We handle the whole life cycle of data quality from end to end, including rule specification and exception handling.
    Ranking
    18th
    out of 44 in Data Quality
    Views
    222
    Comparisons
    156
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    3rd
    out of 44 in Data Quality
    Views
    1,664
    Comparisons
    1,136
    Reviews
    6
    Average Words per Review
    546
    Rating
    8.0
    Comparisons
    Also Known As
    QualityStage
    Cloud Data Quality Radar
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    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.

    Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

    This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

    Sample Customers
    PRO BTP, Gachon University Gil Hospital, Sicoob, NICE Systems, Integra LifeSciences Corp.
    Freddie Mac, Rabobank
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company13%
    Manufacturing Company9%
    Government6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    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.

    IBM QualityStage is ranked 18th in Data Quality while Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews. IBM QualityStage is rated 9.0, while Informatica Cloud Data Quality is rated 8.2. The top reviewer of IBM QualityStage writes "Has allowed my teams of developers to transfer data quickly and easily from SQL databases into Oracle databases". On the other hand, the top reviewer of Informatica Cloud Data Quality writes "Is user friendly and can handle large volumes of data without compromising performance". IBM QualityStage is most compared with IBM Infosphere Information Analyzer, whereas Informatica Cloud Data Quality is most compared with Informatica Data Quality, Talend Data Quality 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.