Informatica Cloud Data Quality vs SAS Data Management comparison

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Executive Summary

We performed a comparison between Informatica Cloud Data Quality and SAS Data Management 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).
765,386 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
"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.""The most valuable feature is the rule specification.""The profiling features are much better than the on-premise version.""Stability-wise, I rate the solution a ten out of ten.""Initial setup was fairly easy.""The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based.""The user-friendliness and performance of Informatica is quite impressive.""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."

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"The product offers very good flexibility.""The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes.""I am impressed with the tool's ability to customize.""The tool is reliable, quick, and powerful.""This is an established product with powerful data analysis and varied options for user entry points.""If you compare it to SQL, the memory and development times are very quick.""The technical support is excellent.""Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

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Cons
"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.""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.""The high price of the product is an area of concern where improvements are required.""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."

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"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process.""I would like the tool to include the ability to automate the modifications of the integrations.""The solution could use better documentation.""We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows.""The pricing of the solution needs to be improved. They need to work to make it more affordable.""We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive.""One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place.""The solution is quite expensive and hard to install/configure."

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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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  • "While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."
  • "The tool is a bit expensive."
  • "The solution is expensive."
  • More SAS Data Management 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:I am impressed with the tool's ability to customize.
    Top Answer:I would like the tool to include the ability to automate the modifications of the integrations.
    Ranking
    3rd
    out of 44 in Data Quality
    Views
    1,664
    Comparisons
    1,136
    Reviews
    6
    Average Words per Review
    546
    Rating
    8.0
    13th
    out of 44 in Data Quality
    Views
    367
    Comparisons
    295
    Reviews
    1
    Average Words per Review
    180
    Rating
    7.0
    Comparisons
    Also Known As
    Cloud Data Quality Radar
    SAS Data Management Platform, Data Management Platform, DataFlux
    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.

    Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

    Sample Customers
    Freddie Mac, Rabobank
    Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company13%
    Manufacturing Company9%
    Government6%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company12%
    Insurance Company10%
    Government8%
    Company Size
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    REVIEWERS
    Small Business50%
    Midsize Enterprise7%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    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.
    765,386 professionals have used our research since 2012.

    Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while SAS Data Management is ranked 13th in Data Quality with 15 reviews. Informatica Cloud Data Quality is rated 8.2, while SAS Data Management is rated 8.4. 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 SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Informatica Cloud Data Quality is most compared with Informatica Data Quality, Talend Data Quality and Syniti Data Quality, whereas SAS Data Management is most compared with Informatica PowerCenter, Microsoft Purview, Tungsten RPA, IBM InfoSphere DataStage and Collibra Governance.

    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.