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

Oracle and SAP are both solutions in the Data Quality category. Oracle is ranked #13, while SAP is ranked #17. Oracle holds a 3.6% mindshare in DQ, compared to SAP’s 3.0% 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

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1,176 Comparison Views

88% willing to recommend

SAP Information Steward

Read 9 SAP Information Steward reviews

1,539 Views
1,031 Comparison Views

100% willing to recommend

Oracle Enterprise Data Qual...

SAP Information Steward

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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: April 2026).

Buyer's Guide

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

April 2026

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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

13th

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

17th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Metadata Management (10th)

Mindshare comparison

As of May 2026, in the Data Quality category, the mindshare of Oracle Enterprise Data Quality (EDQ) is 3.6%, up from 1.7% compared to the previous year. The mindshare of SAP Information Steward is 3.0%, 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)	3.6%
SAP Information Steward	3.0%
Other	93.4%

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

"Compared to the competition, Oracle Data Quality is a very flexible and advanced product."

"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."

"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)."

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

"Oracle Data Quality gives you value for money and better ROI, especially when it's deployed on the cloud, because it's fast, ready to use, and you can just subscribe and provision it, then start using it without great effort for setup, installation, or configuration."

"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."

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

More Oracle Enterprise Data Quality (EDQ) pros

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

"Data insight is the most valuable feature."

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

"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."

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

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

"The solution is very fast."

"The solution is user-friendly even for those who are dealing with it for the first time."

More SAP Information Steward pros

Cons

"The initial setup was complicated, there is a lot of configuration that needs to be done."

"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."

"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."

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

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

"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."

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

More Oracle Enterprise Data Quality (EDQ) cons

"From a performance perspective, sometimes it behaves weirdly. When we are connecting with the file-based system, it doesn't give us the correct results, or it somehow shows us there is this issue with the data or the file connectivity."

"Performance could be improved."

"The support team is not very responsive."

"The user experience of metapedia could be improved."

"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."

"Needs to be more powerful on rules."

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

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."

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

"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."

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

Retailer

University

Manufacturing Company

18%

Government

15%

Comms Service Provider

Healthcare 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 14% of the time

Trillium Quality vs Oracle Enterprise Data Quality (EDQ)

Compared 10% of the time

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

Compared 8% of the time

SAP Data Services vs Oracle Enterprise Data Quality (EDQ)

Compared 8% of the time

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

Compared 8% of the time

More Oracle Enterprise Data Quality (EDQ) Competitors

SAP PowerDesigner vs SAP Information Steward

Compared 12% of the time

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

Compared 11% of the time

Syniti Information Management vs SAP Information Steward

Compared 7% of the time

SAP Data Quality Management vs SAP Information Steward

Compared 7% of the time

Collibra Platform vs SAP Information Steward

Compared 7% of the time

More SAP Information Steward Competitors

Product Reports

Buyer's Guide

Data Quality

May 2026

Oracle Enterprise Data Quality (EDQ) report

Download Oracle Enterprise Data Quality (EDQ) product report

Buyer's Guide

SAP Information Steward

April 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

SAP Information Steward offers data quality insights, metadata management, and data validation scorecards, ensuring accurate data validation through scorecards and dashboards, making it user-friendly and efficient for businesses seeking clarity and effective data profiling.

SAP Information Steward provides a comprehensive approach to managing data quality and governance. It is designed to simplify deployment and streamline data profiling and cleansing with ease. Businesses leverage its capabilities to create data quality rules and detect issues in source systems, enhancing business clarity and accurate data validation. Centralizing cloud data and offering business-friendly metadata descriptions with Metapedia, it supports better metadata management and data profiling. However, it requires improvements in data export capabilities, integration for data manipulation, data filtering features, and enhanced support responsiveness.

What are the key features of SAP Information Steward?

Data Quality Insight: Provides tools for insightful data quality assessments.
Metadata Management: Allows centralized management of metadata through Metapedia.
Scorecard for Data Validation: Offers intuitive scorecards and dashboards for validating data accuracy.
Data Profiling and Cleansing: Facilitates effective profiling and cleansing processes.
Cloud Data Centralization: Centralizes cloud data for effective management.

What benefits and ROI should users look for?

Ease of Deployment: Simplifies the integration into existing systems ensuring swift usage.
User-friendly Interface: Enhances usability for efficient operations.
Accurate Data Validation: Improves the accuracy of business data.
Comprehensive Metadata Descriptions: Offers detailed business-friendly descriptions.
Integrated Data Profiling: Enhances the quality and accuracy of data management.

Industries implement SAP Information Steward widely, notably in global enterprises for S/4HANA business processes and historical reporting, prioritizing data profiling, data quality assessments, and business rules for managing customer information and transformations. Its Metapedia component supports data governance initiatives within these businesses.

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

April 2026

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

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