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 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."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"The solution is applicable for both technical and business users."
"I am impressed by the solution's interface."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"Seeing the data in the mapping itself is really nice."
"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 features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"The file fetch process is impeccable."
"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."
"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."
"We are able to get emails from URLs very easily using this function when others fail."
"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"It has definitely streamlined certain processes."
"tLogRows are also great for finding bad data."
"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."
"There is room for improvement in the Data Marketplace aspect."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"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."
"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."
"Informatica is very expensive."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"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."
"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."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
"The ability to change the code when debugging the JavaScript could be improved."
"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."
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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