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Melissa Data Quality vs iWay Omni-Gen Data Quality comparison

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Featured Review
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: January 2022.
564,599 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:
Pros
"Works quickly to develop and deploy to production."

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"The high value in this tool is its relatively low cost, ease of use, tight integration with SSIS, superior performance (compared to competitors), and attribute-level advanced survivor-ship logic."

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Cons
"Special integration support could be improved."

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"The tool needs to provide resizable forms/windows like all other SSIS windows. Vendor claims its an SSIS limitation however all SSIS components are resizable so that isn't true. This is just an annoyance but needless."

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Pricing and Cost Advice
Information Not Available
  • "This vendor has no equal in pricing for equivalent functionality."
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    Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
    564,599 professionals have used our research since 2012.
    Ranking
    11th
    out of 41 in Data Quality
    Views
    126
    Comparisons
    71
    Reviews
    1
    Average Words per Review
    322
    Rating
    9.0
    7th
    out of 41 in Data Quality
    Views
    1,137
    Comparisons
    573
    Reviews
    1
    Average Words per Review
    1,884
    Rating
    9.0
    Comparisons
    Also Known As
    iWay Software Data Quality, iWay Omni-Gen Data Quality Edition, Omni-Gen Data Quality
    Learn More
    Overview
    The iWay Data Quality Suite is a comprehensive, unified toolset designed to profile, cleanse, and enrich data, to drive better planning and decision making by ensuring the consistency, accuracy, and completeness of enterprise information.

    Data Quality Components for SSIS

    This suite of data transformations for Microsoft SQL Server Integration Services (SSIS) delivers the full spectrum of data quality including data profiling, data verification, data enrichment and data matching. With an intuitive interface and drag/drop capabilities, this powerful toolkit makes it easy to unify data into a single version of the truth for Master Data Management (MDM) success.

    Offer
    Learn more about iWay Omni-Gen Data Quality
    Learn more about Melissa Data Quality
    Sample Customers
    ICA Fluor, Estonia Police Department, Kansas City Police Department
    Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
    Top Industries
    No Data Available
    REVIEWERS
    Healthcare Company16%
    Retailer11%
    Financial Services Firm11%
    Government11%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider11%
    Financial Services Firm7%
    Insurance Company7%
    Company Size
    No Data Available
    REVIEWERS
    Small Business31%
    Midsize Enterprise15%
    Large Enterprise54%
    Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: January 2022.
    564,599 professionals have used our research since 2012.

    iWay Omni-Gen Data Quality is ranked 11th in Data Quality with 1 review while Melissa Data Quality is ranked 7th in Data Quality with 1 review. iWay Omni-Gen Data Quality is rated 9.0, while Melissa Data Quality is rated 9.0. The top reviewer of iWay Omni-Gen Data Quality writes "The speed from development and deployment to production saves us a lot of time". On the other hand, the top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". iWay Omni-Gen Data Quality is most compared with , whereas Melissa Data Quality is most compared with Informatica Address Verification, Experian Data Quality, Talend Data Quality, Ataccama DQ Analyzer and Alteryx.

    See our list of best Data Quality vendors and best Data Scrubbing Software 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.