We performed a comparison between Informatica Data Quality and SAS Data Management based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."The solution is stable."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"Seeing the data in the mapping itself is really nice."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
"The user interface is flexible and the visibility of the data flow is amazing."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"I give the stability a ten out of ten."
"If you compare it to SQL, the memory and development times are very quick."
"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."
"The tool is reliable, quick, and powerful."
"The technical support is excellent."
"The product offers very good flexibility."
"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."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"Managing the licenses with the on-premises version was difficult."
"There is room for improvement in the Data Marketplace aspect."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"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."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"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."
"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."
"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."
"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 solution is quite expensive and hard to install/configure."
"The solution could use better documentation."
"The pricing of the solution needs to be improved. They need to work to make it more affordable."
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 "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 "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 TS Quality and Oracle Data Quality, whereas SAS Data Management is most compared with Informatica PowerCenter, Tungsten RPA, Microsoft Purview, IBM InfoSphere DataStage and Palantir Foundry.
See our list of best Data Quality vendors.
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.
