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Oracle Data Quality vs SAP Data Quality Management comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Oracle Data Quality
Ranking in Data Quality
15th
Average Rating
8.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
SAP Data Quality Management
Ranking in Data Quality
4th
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Quality category, the mindshare of Oracle Data Quality is 1.7%, down from 2.6% compared to the previous year. The mindshare of SAP Data Quality Management is 7.5%, down from 13.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Venkatraman Bhat - PeerSpot reviewer
Sep 14, 2022
Fast, has good extraction, validation, and transformation features, and provides good support
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.
Rene Dorantes - PeerSpot reviewer
Nov 16, 2022
Scalable, stable, and offers good technical support
SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management. What I'd like to see from SAP Data Quality Management in the future is the integration of machines on the shop floor or a feature that connects shop floor devices. I'd also like a custom dashboard in the solution, though I wonder if that's available in the new version. The old version my company uses doesn't have that. Another feature I want in the next release of SAP Data Quality Management is better communication between the ME and the SAP systems.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"With Oracle Data Quality, the most valuable feature is entity matching."
"I have found the most valuable features to be data cleansing and deduplication."
"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."
"Once it is set up, it is easy to use and maintain."
"We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."
"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."
 

Cons

"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."
"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."
"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."
"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."
 

Pricing and Cost Advice

"The price of this solution is comparable to other similar solutions."
"The vendor needs to revisit their pricing strategy."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
32%
Computer Software Company
9%
Manufacturing Company
9%
Wholesaler/Distributor
5%
Manufacturing Company
17%
Financial Services Firm
13%
Energy/Utilities Company
13%
Computer Software Company
12%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about SAP Data Quality Management?
We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very i...
What needs improvement with SAP Data Quality Management?
SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use ...
What is your primary use case for SAP Data Quality Management?
In the last three years, my company used SAP Data Quality Management for a manufacturing site, particularly for creating inspection lots, recording the results, and costing the inspection lots from...
 

Also Known As

Datanomic
SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management
 

Learn More

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Overview

 

Sample Customers

Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R
Find out what your peers are saying about Oracle Data Quality vs. SAP Data Quality Management and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.