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."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."
"The file fetch process is impeccable."
"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."
"It lowers the amount of time in development from weeks to a day."
"The Studio is easy to understand."
"We are able to get emails from URLs very easily using this function when others fail."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"Special integration support could be improved."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"The ability to change the code when debugging the JavaScript could be improved."
"You can't join more than two tables for analysis."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"SQL for displaying underlying data in non-match results does not work."
"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."
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.