"The solution is applicable for both technical and business users."
"The user interface is flexible and the visibility of the data flow is amazing."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"Seeing the data in the mapping itself is really nice."
"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."
"I have found the most valuable features to be data cleansing and deduplication."
"With Oracle Data Quality, the most valuable feature is entity matching."
"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."
"Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that."
"The ability of the product to leverage the power of big data could be improved."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."
"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."
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Informatica Data Quality is ranked 4th in Data Quality with 6 reviews while Oracle Data Quality is ranked 12th in Data Quality with 2 reviews. Informatica Data Quality is rated 7.4, while Oracle Data Quality is rated 7.6. 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 Oracle Data Quality writes "Can be used in the fund raising industry for entity matching". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, SAP Information Steward, IBM Infosphere Information Analyzer and SAP Data Services, whereas Oracle Data Quality is most compared with SAP Data Quality Management. See our Informatica Data Quality vs. Oracle Data Quality report.
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