Compare Informatica Data Quality vs. SAS Data Management

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Most Helpful Review
Find out what your peers are saying about Informatica Data Quality vs. SAS Data Management and other solutions. Updated: May 2021.
479,763 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
"I am impressed by the solution's interface.""We are able to set rules, establish a data quality management platform, and monitor the quality.""The solution is applicable for both technical and business users.""Seeing the data in the mapping itself is really nice.""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."

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"This is an established product with powerful data analysis and varied options for user entry points.""The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes.""If you compare it to SQL, the memory and development times are very quick.""The technical support is excellent.""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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Cons
"Informatica is very expensive.""I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are.""The ability of the product to leverage the power of big data could be improved.""Although we are very satisfied with the design of the UI, executing tasks with it can be difficult.""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.""The tool's performance is an area that should be given further consideration."

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"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics.""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.""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.""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
"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

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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 product offers very good flexibility.
Top Answer: I know that the pricing is on the higher end, in fact that was one of the other challenges where people were not really going to buy the product locally because it's pricing is higher. The reason for… more »
Top Answer: The stability could be a bit better. It's lacking in this area right now. The solution could use better documentation. It would be nice if the solution offered better training and certification for… more »
Ranking
3rd
out of 41 in Data Quality
Views
2,405
Comparisons
1,516
Reviews
7
Average Words per Review
464
Rating
7.7
2nd
out of 41 in Data Quality
Views
2,428
Comparisons
1,645
Reviews
6
Average Words per Review
1,019
Rating
8.7
Popular Comparisons
Also Known As
SAS Data Management Platform, Data Management Platform, DataFlux
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Overview

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.

Offer
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
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider12%
Financial Services Firm10%
Energy/Utilities Company9%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider16%
Government10%
Financial Services Firm8%
Company Size
REVIEWERS
Small Business22%
Midsize Enterprise11%
Large Enterprise67%
REVIEWERS
Small Business45%
Midsize Enterprise9%
Large Enterprise45%
Find out what your peers are saying about Informatica Data Quality vs. SAS Data Management and other solutions. Updated: May 2021.
479,763 professionals have used our research since 2012.

Informatica Data Quality is ranked 3rd in Data Quality with 7 reviews while SAS Data Management is ranked 2nd in Data Quality with 6 reviews. Informatica Data Quality is rated 7.8, while SAS Data Management is rated 8.6. The top reviewer of Informatica Data Quality writes "Works well and has a good interface ". 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, SAP Information Steward, IBM Infosphere Information Analyzer, Ataccama ONE Platform and Experian Data Quality, whereas SAS Data Management is most compared with Informatica PowerCenter, Palantir Gotham, SAP Data Services, Informatica Axon and Kofax RPA. 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.