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."We are able to set rules, establish a data quality management platform, and monitor the quality."
"I am impressed by the solution's interface."
"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."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"The solution is stable."
"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."
"I have found the most valuable features to be data cleansing and deduplication."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"Informatica is very expensive."
"The ability of the product to leverage the power of big data could be improved."
"There is room for improvement in the Data Marketplace aspect."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"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."
"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."
"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."
"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."
"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 TS 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.
See our list of best Data Quality vendors.
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