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Informatica Data Quality vs SAS Data Management comparison

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Comparison Buyer's Guide
Executive Summary

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

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Informatica Data Quality vs. SAS Data Management report (Updated: September 2022).
633,184 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:
"The solution is applicable for both technical and business users.""There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data.""It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy.""The user interface is flexible and the visibility of the data flow is amazing.""Seeing the data in the mapping itself is really nice."

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"The technical support is excellent.""The tool is reliable, quick, and powerful.""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.""In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features.""The product offers very good flexibility."

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"The tool's performance is an area that should be given further consideration.""The ability of the product to leverage the power of big data could be improved.""Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that.""It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it.""Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."

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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.""The solution is quite expensive and hard to install/configure.""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.""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 could use better documentation."

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Pricing and Cost Advice
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633,184 professionals have used our research since 2012.
Questions from the Community
Top Answer:The user interface is flexible and the visibility of the data flow is amazing.
Top Answer:I believe licensing is around $700,000 annually and we pay around $300,000 for support. The licensing is tricky because sometimes we need to pay for additional connectors and those are hidden costs… more »
Top Answer:The tool's performance is an area that should be given further consideration.
Top Answer:The tool is reliable, quick, and powerful.
Top Answer:The solution is quite expensive and hard to install/configure.
out of 42 in Data Quality
Average Words per Review
out of 42 in Data Quality
Average Words per Review
Also Known As
SAS Data Management Platform, Data Management Platform, DataFlux
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Deliver high-quality clean and trusted data with an enterprise class data quality and governance solution that scales, regardless of size or format or data, platform, or technology.

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.

Learn more about Informatica Data Quality
Learn more about SAS Data Management
Sample Customers
Condé Nast, Tani, U.S. Xpress Enterprise
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
Computer Software Company25%
Comms Service Provider13%
Financial Services Firm13%
Insurance Company13%
Computer Software Company25%
Financial Services Firm13%
Energy/Utilities Company8%
Insurance Company6%
Computer Software Company23%
Financial Services Firm11%
Insurance Company9%
Company Size
Small Business17%
Midsize Enterprise17%
Large Enterprise67%
Small Business15%
Midsize Enterprise10%
Large Enterprise75%
Small Business46%
Midsize Enterprise8%
Large Enterprise46%
Small Business22%
Midsize Enterprise10%
Large Enterprise68%
Buyer's Guide
Informatica Data Quality vs. SAS Data Management
September 2022
Find out what your peers are saying about Informatica Data Quality vs. SAS Data Management and other solutions. Updated: September 2022.
633,184 professionals have used our research since 2012.

Informatica Data Quality is ranked 4th in Data Quality with 6 reviews while SAS Data Management is ranked 2nd in Data Quality with 5 reviews. Informatica Data Quality is rated 7.4, while SAS Data Management is rated 7.8. The top reviewer of Informatica Data Quality writes "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". On the other hand, the top reviewer of SAS Data Management writes "One-stop-shop solution for sorting, categorizing and summarizing your data". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, IBM Infosphere Information Analyzer, SAP Information Steward and Ataccama ONE Platform, whereas SAS Data Management is most compared with Informatica PowerCenter, Collibra Governance, Informatica Axon, Microsoft Purview and Informatica Enterprise Data Catalog. See our Informatica Data Quality vs. SAS Data Management report.

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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.