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’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"It has definitely streamlined certain processes."
"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."
"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."
"It lowers the amount of time in development from weeks to a day."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"Special integration support could be improved."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"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."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"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."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"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."
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.
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