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."The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"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."
"The solution is applicable for both technical and business users."
"The user interface is flexible and the visibility of the data flow is amazing."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"Seeing the data in the mapping itself is really nice."
"I give the stability a ten out of ten."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"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."
"I am impressed with the tool's ability to customize."
"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."
"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."
"The tool is reliable, quick, and powerful."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"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."
"There is room for improvement in the Data Marketplace aspect."
"Managing the licenses with the on-premises version was 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."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"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."
"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."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"I would like the tool to include the ability to automate the modifications of the integrations."
"The solution could use better documentation."
"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."
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.
