Informatica Cloud Data Quality vs Microsoft Data Quality Services comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Cloud Data Quality and Microsoft Data Quality Services 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: April 2024).
768,578 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
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog.""The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based.""The profiling features are much better than the on-premise version.""The user-friendliness and performance of Informatica is quite impressive.""Stability-wise, I rate the solution a ten out of ten.""The most valuable feature is the rule specification.""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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"This solution is particularly useful for data enrichment."

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Cons
"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.""If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience.""The integration with older technology and cloud quality needs improvement.""Some capabilities from the cloud version are not included in the on-premises version.""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.""The high price of the product is an area of concern where improvements are required.""Logical views are a little bit behind in comparison to the on-premise version.""In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."

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"I would rate my experience with the initial setup a six out of ten, with one being very easy and ten being extremely challenging. So, there is room for improvement in the setup process."

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Pricing and Cost Advice
  • "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."
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  • "The pricing is in the midrange. It's not cheap, but it depends on the licenses you require."
  • More Microsoft Data Quality Services Pricing and Cost Advice →

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    Questions from the Community
    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.
    Top Answer:This solution is particularly useful for data enrichment.
    Top Answer:The pricing is in the midrange. It's not cheap, but it depends on the licenses you require. We are an enterprise partner and have an enterprise agreement, so we may not see it as a separate cost.
    Top Answer:It's actually typical of Microsoft products. It's not overly easy, but at the same time, it's not like trying to fix a pipe that's burst. You do need to configure a few things to tackle some issues… more »
    Ranking
    3rd
    out of 56 in Data Quality
    Views
    1,647
    Comparisons
    1,124
    Reviews
    6
    Average Words per Review
    546
    Rating
    8.0
    14th
    out of 56 in Data Quality
    Views
    180
    Comparisons
    82
    Reviews
    1
    Average Words per Review
    535
    Rating
    8.0
    Comparisons
    Also Known As
    Cloud Data Quality Radar
    MS Data Quality Services
    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.

    SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data.

    Sample Customers
    Freddie Mac, Rabobank
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company13%
    Manufacturing Company9%
    Government6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business50%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise12%
    Large Enterprise68%
    No Data Available
    Buyer's Guide
    Data Quality
    April 2024
    Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while Microsoft Data Quality Services is ranked 14th in Data Quality with 1 review. Informatica Cloud Data Quality is rated 8.2, while Microsoft Data Quality Services is rated 8.0. The top reviewer of Informatica Cloud Data Quality writes "Is user friendly and can handle large volumes of data without compromising performance". On the other hand, the top reviewer of Microsoft Data Quality Services writes " Usefulness of data enrichment features, which can help improve data quality and accuracy". Informatica Cloud Data Quality is most compared with Informatica Data Quality, Talend Data Quality and Syniti Data Quality, whereas Microsoft Data Quality Services 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.