We performed a comparison between Informatica Cloud Data Quality and Informatica Data Quality 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.
"Initial setup was fairly easy."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"The profiling features are much better than the on-premise version."
"The most valuable feature is the rule specification."
"The user-friendliness and performance of Informatica is quite impressive."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"Stability-wise, I rate the solution a ten out of ten."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"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 applicable for both technical and business users."
"I give the stability a ten out of ten."
"Informatica Data Quality is a product that is worth the money."
"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 most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"Logical views are a little bit behind in comparison to the on-premise version."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"Some capabilities from the cloud version are not included in the on-premises version."
"The integration with older technology and cloud quality needs improvement."
"The high price of the product is an area of concern where improvements are required."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"The customer servive and support could be faster. There is a slow turnaround."
"Informatica is very expensive."
"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."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"Managing the licenses with the on-premises version was difficult."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
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Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while Informatica Data Quality is ranked 1st in Data Quality with 18 reviews. Informatica Cloud Data Quality is rated 8.2, while Informatica Data Quality is rated 7.8. The top reviewer of Informatica Cloud Data Quality writes "Is user friendly and can handle large volumes of data without compromising performance". On the other hand, the top reviewer of Informatica Data Quality writes "Offers cloud version, good connectivity and data profiling features ". Informatica Cloud Data Quality is most compared with , whereas Informatica Data Quality is most compared with Talend Data Quality, Trillium Quality, Oracle Data Quality, IBM Infosphere Information Analyzer and Microsoft Data Quality Services. See our Informatica Cloud Data Quality vs. Informatica Data Quality report.
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.
