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."The solution is stable."
"I am impressed by the solution's interface."
"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."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"The user interface is flexible and the visibility of the data flow is amazing."
"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 give the stability a ten out of ten."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."
"It lowers the amount of time in development from weeks to a day."
"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 has definitely streamlined certain processes."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"The ability of the product to leverage the power of big data could be improved."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"Informatica is very expensive."
"There is room for improvement in the Data Marketplace aspect."
"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."
"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."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"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."
"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."
"The ability to change the code when debugging the JavaScript could be improved."
"You can't join more than two tables for analysis."
"There are too many functions which could be streamlined."
"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."
"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."
Informatica Data Quality is ranked 1st in Data Quality with 17 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 "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". 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 TS Quality, Oracle Data Quality, IBM Infosphere Information Analyzer and SAP Information Steward, whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Alteryx, Precisely Trillium, Informatica Cloud Data Quality and Informatica Address Verification. See our Informatica Data Quality vs. Talend Data Quality report.
See our list of best Data Quality vendors.
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