Oracle Data Quality vs SAP Information Steward comparison

Oracle and SAP are both solutions in the Data Quality category. Oracle is ranked #15, while SAP is ranked #9 with an average rating of 7.5. Oracle holds a 1.9% mindshare in DQ, compared to SAP’s 5.8% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Oracle Data Quality

Read 8 Oracle Data Quality reviews

344 Views
168 Comparison Views

88% willing to recommend

SAP Information Steward

Read 9 SAP Information Steward reviews

688 Views
385 Comparison Views

100% willing to recommend

Oracle Data Quality

SAP Information Steward

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 6, 2025

Oracle Data Quality and SAP Information Steward are competing products in the realm of data management, focusing on ensuring high data quality for businesses. SAP Information Steward seems to have the upper hand with its advanced feature set and data-focused capabilities, suggesting it may be more valuable for enterprises seeking comprehensive data management solutions.

Features:Oracle Data Quality offers robust data cleansing, deduplication, and entity matching capabilities that enhance data reliability. Its strengths also include extraction, transformation, and validation, making it suitable for large-scale data processing. Master Data Management (MDM) features provide a single source of data protection. SAP Information Steward stands out for strong data profiling, data lineage, and its user-friendly interface. It provides data quality insight, creating data quality dimensions and building rules for detecting issues in source systems. The solution's scorecard feature highlights the accuracy of data within predetermined limits.

Room for Improvement:Oracle Data Quality could improve in areas such as integrating more advanced data profiling tools, expanding support for third-party applications, and enhancing user interface customization. SAP Information Steward may need improvements in simplifying deployment processes, reducing initial costs, and offering more intuitive training materials for new users. Additionally, its cryptic SAP table field names can be challenging for users; further development in descriptive tools like Metapedia could enhance user understanding.

Ease of Deployment and Customer Service:Oracle Data Quality provides a straightforward deployment process with accessible support options, emphasizing ease of setup and management. SAP Information Steward presents a more complex deployment but is supported by a comprehensive customer service suite, ensuring users receive thorough assistance throughout their engagement.

Pricing and ROI:Oracle Data Quality is recognized for lower setup costs and quicker ROI, appealing to cost-sensitive businesses. SAP Information Steward involves a higher initial investment but promises considerable ROI due to its expansive functionality and data management capabilities. The distinction lies in Oracle's cost efficiency compared to SAP's long-term value return.

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

Buyer's Guide

Oracle Data Quality vs. SAP Information Steward

January 2025

Download the complete report

Helped 831,265 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 Data Quality

Ranking in Data Quality

15th

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

9th

Average Rating

7.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Metadata Management (6th)

Mindshare comparison

As of January 2025, in the Data Quality category, the mindshare of Oracle Data Quality is 1.9%, down from 2.7% compared to the previous year. The mindshare of SAP Information Steward is 5.8%, down from 8.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

"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."

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

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

"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 solution is very fast."

"Setup is straightforward."

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

"Initial setup was straightforward."

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

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."

"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."

"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."

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

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

"Needs to be more powerful on rules."

"Performance could be improved."

"The user experience of metapedia could be improved."

"The support team is not very responsive."

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

"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."

More SAP Information Steward cons

Pricing and Cost Advice

"The vendor needs to revisit their pricing strategy."

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

"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."

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

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

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

831,265 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

33%

Manufacturing Company

Computer Software Company

University

Manufacturing Company

20%

Financial Services Firm

16%

Government

12%

Computer Software Company

12%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Comparisons

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

Compared 100% of the time

More Oracle Data Quality Competitors

SAP Data Services vs SAP Information Steward

Compared 28% of the time

SAP PowerDesigner vs SAP Information Steward

Compared 28% of the time

Syniti Information Management vs SAP Information Steward

Compared 22% of the time

SAP Data Quality Management vs SAP Information Steward

Compared 21% of the time

More SAP Information Steward Competitors

Product Reports

Buyer's Guide

Data Quality

December 2024

Download Oracle Data Quality product report

Buyer's Guide

SAP Information Steward

December 2024

Download SAP Information Steward product report

Also Known As

Datanomic

Information Steward, SAP Data Insight

Learn More

Oracle

SAP

Overview

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.

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.

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 Data Quality vs. SAP Information Steward

January 2025

Free Report: Oracle Data Quality vs. SAP Information Steward

Find out what your peers are saying about Oracle Data Quality vs. SAP Information Steward and other solutions. Updated: January 2025.

DOWNLOAD NOW

831,265 professionals have used our research since 2012.

See our Oracle Data Quality 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.