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 profiling feature in Informatica Data Quality is incredibly effective for data governance."
"The solution is stable."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"I am impressed by the solution's interface."
"Informatica Data Quality is a product that is worth the money."
"The solution is applicable for both technical and business users."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"Seeing the data in the mapping itself is really nice."
"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."
"We are able to get emails from URLs very easily using this function when others fail."
"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 solution is customizable."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"It has definitely streamlined certain processes."
"It lowers the amount of time in development from weeks to a day."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"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."
"Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria."
"The ability of the product to leverage the power of big data could be improved."
"The customer servive and support could be faster. There is a slow turnaround."
"The tool's performance is an area that should be given further consideration."
"Managing the licenses with the on-premises version was difficult."
"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"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."
"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."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"You can't join more than two tables for analysis."
"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 "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.
We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
