Oracle Enterprise Data Quality (EDQ) vs SAP Information Steward comparison

Oracle and SAP are both solutions in the Data Quality category. Oracle is ranked #14, while SAP is ranked #15. Oracle holds a 3.4% mindshare in DQ, compared to SAP’s 3.1% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Oracle Enterprise Data Qual...

Read 8 Oracle Enterprise Data Quality (EDQ) reviews

767 Views
759 Comparison Views

88% willing to recommend

SAP Information Steward

Read 9 SAP Information Steward reviews

1,108 Views
753 Comparison Views

100% willing to recommend

Oracle Enterprise Data Qual...

SAP Information Steward

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 15, 2026

Oracle Enterprise Data Quality and SAP Information Steward are competing products in data quality management. SAP Information Steward seems to have the upper hand due to its comprehensive feature set and strong integration capabilities.

Features: Oracle EDQ is recognized for data profiling, matching, and a flexible rules engine, along with comprehensive data governance capabilities. It integrates well with third-party applications. SAP Information Steward provides business-driven data governance, strong integration with SAP environments, and a user-friendly interface. It offers effective data cleansing and scorecard features for monitoring data quality.

Room for Improvement: Oracle EDQ could enhance ease of configuration and deployment while improving user interface intuitiveness. Integration with systems beyond third-party applications and SAP could be expanded. SAP Information Steward could improve field name clarity in SAP tables, reduce implementation complexity, and better cater to non-SAP environments.

Ease of Deployment and Customer Service: Oracle EDQ provides a straightforward deployment process with reliable customer service but sometimes requires complex configuration. SAP Information Steward offers cloud-based implementation, simplifying deployment, along with robust customer service. Its integration ease appeals to those seeking quick deployment.

Pricing and ROI: Oracle EDQ is a cost-effective choice with a lower initial investment, providing a solid ROI through competitive pricing. SAP Information Steward has a higher setup cost but offers superior long-term ROI, thanks to advanced features and stronger integration capabilities. Despite the price, many find the investment worthwhile for comprehensive data management solutions.

To learn more, read our detailed Oracle Enterprise Data Quality (EDQ) vs. SAP Information Steward Report (Updated: March 2026).

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. SAP Information Steward

March 2026

Download the complete report

Helped 885,264 peers since 2012

Review summaries and opinions

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

Categories and Ranking

Oracle Enterprise Data Qual...

Ranking in Data Quality

14th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

SAP Information Steward

Ranking in Data Quality

15th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Metadata Management (10th)

Mindshare comparison

As of March 2026, in the Data Quality category, the mindshare of Oracle Enterprise Data Quality (EDQ) is 3.4%, up from 1.5% compared to the previous year. The mindshare of SAP Information Steward is 3.1%, down from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
Oracle Enterprise Data Quality (EDQ)	3.4%
SAP Information Steward	3.1%
Other	93.5%

Data Quality

Featured Reviews

Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

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.

Read full review

FranciscoSantos

Director at Pixel Studio PTY

Provides accurate data that is validated against a personalized reference tool

For most SAP customers, Information Steward is enough because it is able to build quality data rules to detect issues in the source systems like SAP HANA, Business Warehouse, or other systems. A business user can first organize their data into several data domains. For example, procurement, human resources, and logistics setup. The domains can build data quality dimensions where you can describe the kind of rule that you are going to use. The user then can immediately see if something is wrong with their data using traffic lights. Another great feature of SAP Information Steward is the accuracy that the content is followed by validating against the reference tool. With the solution, you are creating data quality dimensions. Within these dimensions, you are creating business data quality rules that are looking for specific fields. From these rules, you can create a scorecard. The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits. SAP tables have field names that are very cryptic, making them hard to understand the meaning of the fields. Metapedia helps describe these fields in business terms.

Read full review

Quotes from Members

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

Pros

"The quality of data has vastly improved and our business intelligence reports are accurate in real time."

"Oracle EDQ is indeed a state-of-the-art tool that will help you understand, improve, protect, and govern the quality of your enterprise data in a single integrated and collaborative environment."

"The technical support is very good; we had a good experience with the support."

"I'd recommend this solution to anyone who is using data quality or would want to know the quality of data in their company and fix the data."

"OEDQ helped us to define Data Quality issues from a business perspective by business users and ability to manage those issues within our ETL tool (Oracle Data Integrator - ODI)."

"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."

More Oracle Enterprise Data Quality (EDQ) pros

"Initial setup was straightforward."

"I am very happy with the product."

"The solution is very fast, very stable, and very easy to use and straightforward."

"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."

"Setup is straightforward."

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

"The ability to analyze the data even before we start the transformation of it, and generating the user-friendly interface, giving analytical reports, and helping create the transformation rules before we proceed with the data migration part was the most helpful part of the solution for our company."

"The product has improved company efficiency because we're able to categorize the need for user access at the folder level across storage enterprise wide."

More SAP Information Steward pros

Cons

"Mobile support and mobile app can be implemented, since business users generally prefers to work with their laptops and mobile phones."

"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."

"We have experienced some system crashes i.e. when tying to run Data Profiling Processes for very large data sets."

"If the length of time required for deployment was reduced then it would be very helpful."

"There are some challenges with respect to standardization, matching, segregation, and merging."

"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures."

"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."

"Integration performance and availability of out of the box integration to more products (ERP Tools, Data Cleansing Software etc.)."

More Oracle Enterprise Data Quality (EDQ) cons

"Needs to be more powerful on rules."

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

"The support team is not very responsive."

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

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

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

"In some cases they have given extraneous or erroneous information, which is completely useless."

"The user experience of metapedia could be improved."

More SAP Information Steward cons

Pricing and Cost Advice

"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."

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

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

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

See which vendors are best for you

Use our free recommendation engine to learn which Data Quality solutions are best for your needs.

See recommendations

885,264 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

16%

Retailer

12%

Performing Arts

University

Manufacturing Company

20%

Government

17%

Comms Service Provider

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Midsize Enterprise	2
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	1
Large Enterprise	7

Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Enterprise Data Quality (EDQ)

Compared 18% of the time

Trillium Quality vs Oracle Enterprise Data Quality (EDQ)

Compared 12% of the time

SAP Data Services vs Oracle Enterprise Data Quality (EDQ)

Compared 9% of the time

SAP Data Quality Management vs Oracle Enterprise Data Quality (EDQ)

Compared 9% of the time

IBM Infosphere Information Analyzer vs Oracle Enterprise Data Quality (EDQ)

Compared 9% of the time

More Oracle Enterprise Data Quality (EDQ) Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Information Steward

Compared 12% of the time

SAP PowerDesigner vs SAP Information Steward

Compared 11% of the time

SAP Data Quality Management vs SAP Information Steward

Compared 8% of the time

Syniti Information Management vs SAP Information Steward

Compared 8% of the time

Collibra Platform vs SAP Information Steward

Compared 8% of the time

More SAP Information Steward Competitors

Product Reports

Buyer's Guide

Data Quality

February 2026

Oracle Enterprise Data Quality (EDQ) report

Download Oracle Enterprise Data Quality (EDQ) product report

Buyer's Guide

SAP Information Steward

February 2026

Download SAP Information Steward product report

Also Known As

Datanomic

Information Steward, SAP Data Insight

Overview

Oracle Enterprise Data Quality is a comprehensive tool for improving data integrity through address verification, profiling, cleansing, and synchronization.

Oracle Enterprise Data Quality empowers organizations to manage their data by ensuring integrity and consistency. It provides efficient address verification, data profiling, cleansing, and synchronization. With capabilities like entity matching, deduplication, extraction, transformation, and validation, it supports diverse data types to enhance data quality processes. While it is seamless in data matching and third-party app integration, the platform benefits organizations by supporting Master Data Management for consolidated data protection. However, improvements in documentation, ERP and warehouse integration, cloud and mobile support, and reduced deployment time could enhance the user experience. Pricing strategy and installation challenges, especially involving coding, need attention for broader accessibility.

What are the main features of Oracle Enterprise Data Quality?

Address Verification: Ensures accuracy in address data.
Data Profiling: Analyzes data characteristics for better insights.
Cleansing: Refines data by removing inaccuracies.
Data Synchronization: Aligns data across platforms effortlessly.
Entity Matching: Identifies and matches related entities.
Deduplication: Eliminates redundant data entries efficiently.
Transformation and Validation: Converts data to required formats, verifying its accuracy.

What benefits and ROI can users expect from Oracle Enterprise Data Quality?

Data Integrity: Maintains consistent data accuracy.
Reduced Redundancy: Minimizes duplicate data across systems.
Enhanced Data Governance: Strengthens data management strategies.
Improved Accuracy: Boosts the precision of data validation.
Efficient Data Processing: Accelerates data handling routines.

Industries like education find Oracle Enterprise Data Quality invaluable for systems such as university fundraising, where tracking donor contributions accurately is crucial. Used in data governance, it manages quality during ETVL processes ensuring high precision for data warehouses and Data Lakehouses.

Oracle

Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance initiatives.

SAP

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,

American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. SAP Information Steward

March 2026

Free Report: Oracle Enterprise Data Quality (EDQ) vs. SAP Information Steward

Find out what your peers are saying about Oracle Enterprise Data Quality (EDQ) vs. SAP Information Steward and other solutions. Updated: March 2026.

DOWNLOAD NOW

885,264 professionals have used our research since 2012.

See our Oracle Enterprise Data Quality (EDQ) vs. SAP Information Steward report.

See our list of best Data Quality vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.