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.
"The profiling features are much better than the on-premise version."
"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."
"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 most valuable feature is the rule specification."
"The user-friendliness and performance of Informatica is quite impressive."
"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 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."
"I give the stability a ten out of ten."
"The solution is applicable for both technical and business users."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"Informatica Data Quality is a product that is worth the money."
"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."
"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."
"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."
"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."
"Logical views are a little bit behind in comparison to the on-premise version."
"The high price of the product is an area of concern where improvements are required."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"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."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"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."
"The tool's performance is an area that should be given further consideration."
"There is room for improvement in the Data Marketplace aspect."
"The customer servive and support could be faster. There is a slow turnaround."
"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'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."
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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.
