We performed a comparison between Informatica Data Quality and Oracle 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."I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
"The solution is stable."
"I am impressed by the solution's interface."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"Seeing the data in the mapping itself is really nice."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"I give the stability a ten out of ten."
"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."
"I have found the most valuable features to be data cleansing and deduplication."
"Once it is set up, it is easy to use and maintain."
"The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company."
"With Oracle Data Quality, the most valuable feature is entity matching."
"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."
"The tool's performance is an area that should be given further consideration."
"The customer servive and support could be faster. There is a slow turnaround."
"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."
"Informatica is very expensive."
"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."
"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."
"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."
"Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."
"If the length of time required for deployment was reduced then it would be very helpful."
Informatica Data Quality is ranked 1st in Data Quality with 18 reviews while Oracle Data Quality is ranked 10th in Data Quality with 8 reviews. Informatica Data Quality is rated 7.8, while Oracle Data Quality is rated 8.4. 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 Oracle Data Quality writes "Fast, has good extraction, validation, and transformation features, and provides good support". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, Trillium Quality, IBM Infosphere Information Analyzer and Microsoft Data Quality Services, whereas Oracle Data Quality is most compared with . See our Informatica Data Quality vs. Oracle Data Quality report.
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