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

Oracle and SAP are both solutions in the Data Quality category. Oracle is ranked #16, while SAP is ranked #10 with an average rating of 8.0. Oracle holds a 2.3% mindshare in DQ, compared to SAP’s 2.8% 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

455 Views
450 Comparison Views

88% willing to recommend

SAP Information Steward

Read 9 SAP Information Steward reviews

891 Views
588 Comparison Views

100% willing to recommend

Oracle Enterprise Data Qual...

SAP Information Steward

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Executive SummaryUpdated on Dec 11, 2025

Oracle Enterprise Data Quality and SAP Information Steward are competing data management products. SAP Information Steward often gains favor with its comprehensive feature set, while Oracle EDQ is recognized for better pricing and support.

Features: Oracle EDQ provides robust tools such as data cleansing, profiling, and integration capabilities, maintaining high data quality standards. SAP Information Steward excels in metadata management and offers extensive data governance tools, appealing to enterprises focused on compliance and data auditing. Oracle EDQ is particularly strong in straightforward integration, whereas SAP offers extensive governance functionality.

Room for Improvement: Oracle EDQ could enhance user interface intuitiveness, expand metadata management capabilities, and improve data governance features. SAP Information Steward can work on simplifying deployment processes, lowering the entry cost for small businesses, and improving customer support flexibility to better cater to smaller enterprises.

Ease of Deployment and Customer Service: Oracle EDQ benefits from simpler deployment and more accessible customer support, suitable for organizations with limited IT resources. SAP Information Steward offers extensive documentation and support but is potentially more complex to deploy, which can be challenging without experienced IT staff.

Pricing and ROI: Oracle EDQ offers lower initial setup costs, making it attractive for cost-sensitive projects, whereas SAP Information Steward has a higher price point. However, its extensive feature set justifies the premium, offering strong long-term ROI through comprehensive functionality and reliability.

To learn more, read our detailed Oracle Enterprise Data Quality (EDQ) vs. SAP Information Steward Report (Updated: December 2025).

Buyer's Guide

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

December 2025

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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

16th

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

10th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Metadata Management (7th)

Mindshare comparison

As of December 2025, in the Data Quality category, the mindshare of Oracle Enterprise Data Quality (EDQ) is 2.3%, up from 1.4% compared to the previous year. The mindshare of SAP Information Steward is 2.8%, down from 3.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
SAP Information Steward	2.8%
Oracle Enterprise Data Quality (EDQ)	2.3%
Other	94.9%

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.

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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.

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Quotes from Members

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

Pros

"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."

"Once it is set up, it is easy to use and maintain."

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

"Initial setup was straightforward."

"Setup is straightforward."

"The solution is very fast."

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

"Data insight is the most valuable feature."

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

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

More SAP Information Steward pros

Cons

"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 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."

"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."

"The solution could improve by incorporating other applications, such as Power BI to show more visualization. More interaction with other solutions would be a good benefit."

"The support team is not very responsive."

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

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

"Needs to be more powerful on rules."

"The user experience of metapedia could be improved."

"Performance could be improved."

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

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."

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

"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."

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Top Industries

By visitors reading reviews

No data available

Manufacturing Company

22%

Government

18%

Retailer

Computer Software Company

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 51% of the time

Trillium Quality vs Oracle Enterprise Data Quality (EDQ)

Compared 32% of the time

More Oracle Enterprise Data Quality (EDQ) Competitors

SAP PowerDesigner vs SAP Information Steward

Compared 16% of the time

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

Compared 15% of the time

SAP Data Services vs SAP Information Steward

Compared 14% of the time

SAP Data Quality Management vs SAP Information Steward

Compared 13% of the time

More SAP Information Steward Competitors

Product Reports

Buyer's Guide

Data Quality

December 2025

Oracle Enterprise Data Quality (EDQ) report

Download Oracle Enterprise Data Quality (EDQ) product report

Buyer's Guide

SAP Information Steward

December 2025

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

December 2025

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: December 2025.

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