We performed a comparison between Informatica 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."I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"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."
"I give the stability a ten out of ten."
"The solution is applicable for both technical and business users."
"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."
"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."
"I am impressed by the solution's interface."
"The Studio is easy to understand."
"It has definitely streamlined certain processes."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"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 solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted."
"There is room for improvement in the Data Marketplace aspect."
"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."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"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."
"Managing the licenses with the on-premises version was difficult."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"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."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"There are too many functions which could be streamlined."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"I would say that some of the support elements need improvement."
"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."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"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."
"SQL for displaying underlying data in non-match results does not work."
Informatica Data Quality is ranked 1st in Data Quality with 18 reviews while Talend Data Quality is ranked 4th in Data Quality with 20 reviews. Informatica Data Quality is rated 7.8, while Talend Data Quality is rated 8.0. The top reviewer of Informatica Data Quality writes "Offers cloud version, good connectivity and data profiling features ". 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 Data Quality is most compared with Informatica Cloud Data Quality, Trillium Quality, Oracle Data Quality, IBM Infosphere Information Analyzer and Microsoft Data Quality Services, whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Alteryx, Precisely Trillium and Ataccama ONE Platform. See our Informatica Data Quality vs. Talend Data Quality report.
See our list of best Data Quality vendors.
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