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."The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"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."
"I give the stability a ten out of ten."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"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."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"Once it is set up, it is easy to use and maintain."
"I have found the most valuable features to be data cleansing and deduplication."
"With Oracle Data Quality, the most valuable feature is entity matching."
"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."
"There is room for improvement in the Data Marketplace aspect."
"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."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"The customer servive and support could be faster. There is a slow turnaround."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"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 tools required to migrate existing mappings and server rules through cloud data quality are not available."
"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."
"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."
"If the length of time required for deployment was reduced then it would be very helpful."
"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."
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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