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."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 solution is stable."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"I am impressed by the solution's interface."
"The user interface is flexible and the visibility of the data flow is amazing."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"The solution is applicable for both technical and business users."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"The product offers very good flexibility."
"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 technical support is excellent."
"I am impressed with the tool's ability to customize."
"If you compare it to SQL, the memory and development times are very quick."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"The ability of the product to leverage the power of big data could be improved."
"Managing the licenses with the on-premises version was difficult."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"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."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"The customer servive and support could be faster. There is a slow turnaround."
"The tool's performance is an area that should be given further consideration."
"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."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"The solution is quite expensive and hard to install/configure."
"I would like the tool to include the ability to automate the modifications of the integrations."
"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."
Informatica Data Quality is ranked 1st in Data Quality with 18 reviews while SAS Data Management is ranked 13th in Data Quality with 15 reviews. Informatica Data Quality is rated 7.8, while SAS Data Management is rated 8.4. The top reviewer of Informatica Data Quality writes "Offers cloud version, good connectivity and data profiling features ". On the other hand, the top reviewer of SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, Trillium Quality, Oracle Data Quality and IBM Infosphere Information Analyzer, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview Data Governance, SSIS and IBM InfoSphere DataStage. 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.