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.
"Stability-wise, I rate the solution a ten out of ten."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"Initial setup was fairly easy."
"The user-friendliness and performance of Informatica is quite impressive."
"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."
"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."
"The profiling features are much better than the on-premise version."
"The most valuable feature is the rule specification."
"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 stable."
"I am impressed by the solution's interface."
"I give the stability a ten out of ten."
"Informatica Data Quality is a product that is worth the money."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"The user interface is flexible and the visibility of the data flow is amazing."
"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."
"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."
"The high price of the product is an area of concern where improvements are required."
"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."
"The integration with older technology and cloud quality needs improvement."
"Logical views are a little bit behind in comparison to the on-premise version."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"The ability of the product to leverage the power of big data could be improved."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"The tool's performance is an area that should be given further consideration."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"Informatica is very expensive."
"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."
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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 "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". Informatica Cloud Data Quality is most compared with Talend Data Quality and Syniti Data Quality, whereas Informatica Data Quality is most compared with Talend Data Quality, Trillium TS Quality, Oracle Data Quality, IBM Infosphere Information Analyzer and SAP Information Steward. See our Informatica Cloud Data Quality vs. Informatica 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.
