We performed a comparison between ibi Data Quality and Talend Data Quality based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality."Works quickly to develop and deploy to production."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"It has definitely streamlined certain processes."
"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 jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"tLogRows are also great for finding bad data."
"The Studio is easy to understand."
"Special integration support could be improved."
"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."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"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."
"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."
"There are too many functions which could be streamlined."
"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."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
"SQL for displaying underlying data in non-match results does not work."
Earn 20 points
ibi Data Quality is ranked 29th in Data Quality while Talend Data Quality is ranked 4th in Data Quality with 20 reviews. ibi Data Quality is rated 9.0, while Talend Data Quality is rated 8.0. The top reviewer of ibi Data Quality writes "The speed from development and deployment to production saves us a lot of time". 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". ibi Data Quality is most compared with , whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Informatica Data Quality, Alteryx, Precisely Trillium and Informatica Cloud Data Quality.
See our list of best Data Quality vendors and best Data Scrubbing Software 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.
