Informatica Cloud Data Quality vs Melissa Data Quality comparison

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Executive Summary

We performed a comparison between Informatica Cloud Data Quality and Melissa Data Quality based on real PeerSpot user reviews.

Find out what your peers are saying about SAP, Informatica, SAS and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: November 2022).
653,584 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:
Pros
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based.""One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality.""Initial setup was fairly easy."

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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
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM.""I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data.""Some capabilities from the cloud version are not included in the on-premises version."

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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."
  • More Melissa Data Quality Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based.
    Top Answer:Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other… more »
    Top Answer:We are using Informatica Cloud Data Quality for data quality operations.
    Top Answer: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.
    Top Answer:This vendor has no equal in pricing for equivalent functionality. First no one else offers this level of integration with SSIS. Second other vendors with equal functionality all cost many times the… more »
    Top Answer:- Licensing could be greatly simplified. As soon as a license expires (which is specific to each server) the product stops functioning without prior notice and requires a new license by contacting the… more »
    Ranking
    8th
    out of 42 in Data Quality
    Views
    1,064
    Comparisons
    805
    Reviews
    3
    Average Words per Review
    261
    Rating
    8.7
    6th
    out of 42 in Data Quality
    Views
    868
    Comparisons
    484
    Reviews
    1
    Average Words per Review
    1,888
    Rating
    9.0
    Comparisons
    Also Known As
    Cloud Data Quality Radar
    Learn More
    Overview

    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.

    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 Informatica Cloud Data Quality
    Learn more about Melissa Data Quality
    Sample Customers
    Freddie Mac, Rabobank
    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
    VISITORS READING REVIEWS
    Computer Software Company23%
    Financial Services Firm13%
    Manufacturing Company6%
    Retailer5%
    REVIEWERS
    Healthcare Company16%
    Retailer11%
    Financial Services Firm11%
    Government11%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm11%
    Government10%
    Insurance Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise13%
    Large Enterprise66%
    REVIEWERS
    Small Business38%
    Midsize Enterprise14%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise18%
    Large Enterprise59%
    Buyer's Guide
    Data Quality
    November 2022
    Find out what your peers are saying about SAP, Informatica, SAS and others in Data Quality. Updated: November 2022.
    653,584 professionals have used our research since 2012.

    Informatica Cloud Data Quality is ranked 8th in Data Quality with 3 reviews while Melissa Data Quality is ranked 6th in Data Quality with 1 review. Informatica Cloud Data Quality is rated 8.6, while Melissa Data Quality is rated 9.0. The top reviewer of Informatica Cloud Data Quality writes "Helpful code writing abilities, scalable, and responsive technical support". On the other hand, the top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". Informatica Cloud Data Quality is most compared with Informatica Data Quality, Talend Data Quality and Microsoft Data Quality Services, whereas Melissa Data Quality is most compared with Informatica Address Verification, Experian Data Quality, Talend Data Quality, Precisely Trillium and SAP Data Quality Management.

    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.