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."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"The user interface is flexible and the visibility of the data flow is amazing."
"The solution is applicable for both technical and business users."
"I give the stability a ten out of ten."
"Informatica Data Quality is a product that is worth the money."
"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."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"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."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"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."
"The solution is customizable."
"It lowers the amount of time in development from weeks to a day."
"The Studio is easy to understand."
"The file fetch process is impeccable."
"tLogRows are also great for finding bad data."
"The customer servive and support could be faster. There is a slow turnaround."
"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."
"The tool's performance is an area that should be given further consideration."
"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."
"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."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"SQL for displaying underlying data in non-match results does not work."
"You can't join more than two tables for analysis."
"I would say that some of the support elements need improvement."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."
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 "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 Address Verification and Informatica Cloud Data Quality. See our Informatica Data Quality vs. Talend Data Quality report.
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