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Top Review
Find out what your peers are saying about SAS Data Management vs. Talend Data Quality and other solutions. Updated: September 2021.
536,548 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
"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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"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms.""It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

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Cons
"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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"I would say that some of the support elements need improvement.""They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

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Pricing and Cost Advice
Information Not Available
"It's a subscription-based platform, we renew it every year.""It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

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Questions from the Community
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 »
Top Answer: Talend DQ module is more focused around data profiling, so we have some teams in our organization from data governance who use it to profile the data to find anomalies in the data.
Top Answer: It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the… more »
Top Answer: It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the… more »
Ranking
2nd
out of 41 in Data Quality
Views
2,705
Comparisons
1,879
Reviews
5
Average Words per Review
931
Rating
8.4
4th
out of 41 in Data Quality
Views
1,707
Comparisons
1,063
Reviews
3
Average Words per Review
903
Rating
9.0
Comparisons
Also Known As
SAS Data Management Platform, Data Management Platform, DataFlux
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Overview

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.

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.
Offer
Learn more about SAS Data Management
Learn more about Talend Data Quality
Sample Customers
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
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider14%
Government9%
Insurance Company9%
VISITORS READING REVIEWS
Computer Software Company35%
Comms Service Provider9%
Financial Services Firm9%
Energy/Utilities Company6%
Company Size
REVIEWERS
Small Business45%
Midsize Enterprise9%
Large Enterprise45%
REVIEWERS
Small Business58%
Midsize Enterprise8%
Large Enterprise33%
Find out what your peers are saying about SAS Data Management vs. Talend Data Quality and other solutions. Updated: September 2021.
536,548 professionals have used our research since 2012.

SAS Data Management is ranked 2nd in Data Quality with 5 reviews while Talend Data Quality is ranked 4th in Data Quality with 3 reviews. SAS Data Management is rated 8.4, while Talend Data Quality is rated 9.0. The top reviewer of SAS Data Management writes "One-stop-shop solution for sorting, categorizing and summarizing your data". On the other hand, the top reviewer of Talend Data Quality writes "Saves a lot of time, good ROI, seamless integration with different databases, and stable". SAS Data Management is most compared with Informatica PowerCenter, Informatica Axon, Collibra Governance, Palantir Gotham and Informatica Enterprise Data Catalog, whereas Talend Data Quality is most compared with Alteryx, Ataccama DQ Analyzer, Informatica Data Quality, RapidMiner and Microsoft Data Quality Services. See our SAS Data Management vs. Talend Data Quality 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.