We performed a comparison between Informatica Cloud Data Quality and Talend 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 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."
"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."
"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."
"It lowers the amount of time in development from weeks to a day."
"The file fetch process is impeccable."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"Provides a flexible development environment to the coder."
"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."
"Some capabilities from the cloud version are not included in the on-premises 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."
"The high price of the product is an area of concern where improvements are required."
"The integration with older technology and cloud quality needs improvement."
"Logical views are a little bit behind in comparison to the on-premise 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."
"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."
"I would say that some of the support elements need improvement."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."
"SQL for displaying underlying data in non-match results does not work."
"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."
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Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while Talend Data Quality is ranked 4th in Data Quality with 20 reviews. Informatica Cloud Data Quality is rated 8.2, while Talend Data Quality is rated 8.0. 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 Talend Data Quality writes "Saves a lot of time, good ROI, seamless integration with different databases, and stable". Informatica Cloud Data Quality is most compared with Informatica Data Quality and Syniti Data Quality, whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Informatica Data Quality, Alteryx, Precisely Trillium and Informatica Address Verification. See our Informatica Cloud Data Quality vs. Talend Data Quality report.
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