Oracle Data Quality vs SAP Information Steward comparison

"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."

"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."

"With Oracle Data Quality, the most valuable feature is entity matching."

"The solution is very fast."

"The Data Cleansing and the scorecard dashboard are very valuable. Additionally, the financial aspect of SAP Information Steward is very good. When a rule is incorrect then it will show how much is it costing the business. These features are very valuable."

"Ability to collect information, monitor user access and to plan storage capacity."

"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."

"The data profiling was excellent, as was the ease of generating the dashboards."

"The most valuable features are data quality insight, metadata management, and metadata dictionary."

"Initial setup was straightforward."

"Setup is straightforward."

"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."

"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."

"Performance could be improved."

"We'd like to see some manipulation techniques included in SAP Information Steward."

"Needs to be more powerful on rules."

"SAP Information Steward could be improved by offering a cloud version of the product."

"The user experience of metapedia could be improved."

"The support team is not very responsive."

"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."

"Granularity could be reduced from an application level to the object level."

"The price of this solution is comparable to other similar solutions."

"The vendor needs to revisit their pricing strategy."

"Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost."

"I do not know if there were additional costs beyond the standard licensing fees."

"A bit pricey, and better tools are available for a lower price."

"SAP Information Steward is an expensive solution compared to others."