Oracle Enterprise Data Quality (EDQ) vs SAP Data Services comparison

Oracle and SAP are both solutions in the Data Quality category. Oracle is ranked #16, while SAP is ranked #2 with an average rating of 8.1. Oracle holds a 2.3% mindshare in DQ, compared to SAP’s 5.8% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 86% of SAP users who would recommend it.

Oracle Enterprise Data Qual...

Read 8 Oracle Enterprise Data Quality (EDQ) reviews

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450 Comparison Views

88% willing to recommend

SAP Data Services

Read 52 SAP Data Services reviews

4,325 Views
1,298 Comparison Views

86% willing to recommend

Oracle Enterprise Data Qual...

SAP Data Services

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Executive SummaryUpdated on Dec 11, 2025

Oracle Enterprise Data Quality and SAP Data Services compete in the data quality market. SAP Data Services has an edge with a comprehensive feature set, while EDQ stands out for better pricing and support.

Features: EDQ provides capabilities like data discovery, profiling, and cleansing, enhancing data accuracy. SAP Data Services offers extensive integration features such as data extraction, transformation, and loading, allowing for scalability. While EDQ focuses on data quality improvement, SAP offers broad integration options.

Room for Improvement: EDQ could benefit from enhancing integration capabilities, expanding scalability, and offering more complex cleaning tools. SAP Data Services might improve by simplifying its deployment process, refining user documentation, and enhancing its pricing structure.

Ease of Deployment and Customer Service: EDQ is known for simple deployment and solid customer support, making setup swift and efficient. SAP Data Services, while providing excellent resources and detailed documentation, involves a more complex deployment process.

Pricing and ROI: EDQ is cost-effective with quick ROI, attracting budget-conscious buyers. SAP Data Services, despite higher initial costs, offers long-term value with rich features that justify its investment.

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

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. SAP Data Services

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 Data Services

Ranking in Data Quality

2nd

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (10th)

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 Data Services is 5.8%, down from 17.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
SAP Data Services	5.8%
Oracle Enterprise Data Quality (EDQ)	2.3%
Other	91.9%

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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reviewer2686500

SAP BI Architect at a government with 10,001+ employees

Integration has become more robust and seamless

SAP Data Services is mainly used for extraction of data, and it works with all databases. The flows and everything are configured effectively. One of the most valuable features is that it is integrated. Compared to the past, it is much more robust and easier to use. The only issue is that documentation is not up to the mark. The data quality management features support our business because we can fetch anything based on the requirements. Before, we used to have a tough time getting data, but now, with HANA and all these tools, it is seamless.

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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

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

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

"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."

"The most valuable features of the solution are extraction and data transformations."

"The HANA database, which is very fast, is a valuable feature."

"The most valuable feature is the ETL functionality."

"One of the most valuable features is that it is integrated."

"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."

"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept."

"It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements."

"I appreciate having access to the SAP data."

More SAP Data Services pros

Cons

"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."

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

"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."

"At the integration level, there could be certain set of improvement to connect to various other systems."

"The skillset of data engineers matters a bit to use all the functionality of this solution. Otherwise, the delivery speed won't be faster."

"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."

"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."

"The interface of SAP Data Services is still easy to use, but it is also dated as things are evolving."

"In the future, Data Services should offer a cloud version."

"Address validation in SAP Data Services is chargeable and should be made free."

"We would like the different tools offered within this solution to be available as standalone entities, rather than having to purchase the entire package when we only require a few features."

More SAP Data Services cons

Pricing and Cost Advice

"The vendor needs to revisit their pricing strategy."

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

"The price is very reasonable."

"The product’s on-premise version is expensive for a medium-sized company."

"The pricing is a little high to make the product more competetive in the marketplace."

"Pricing is good, there is no problem."

"The license price is expensive but medium to large-scale companies, should be able to afford it. Other solutions, such as Talend are easier to afford for smaller companies. Depending on the sources of the data where you are receiving your data you could be paying for more than one license."

"There is a one time purchase fee plus annual maintenance."

"Its pricing is as per the enterprise agreement and not a concern for us."

"Speaking about prices, Oracle and SAP are market leaders. So, the prices are more."

More SAP Data Services pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Manufacturing Company

14%

Computer Software Company

Government

Financial Services Firm

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	13
Midsize Enterprise	5
Large Enterprise	36

Questions from the Community

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How do you evaluate the ratio of price to quality for SAP Data Services?

I believe the license for the product is fair, even though some competitors offer similar services at lower prices. The difference between the Edge edition and the next one up is significant in pr...

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Would you recommend SAP Data Services to complete beginners?

I think after some preparation, a beginner will be able to use SAP Data Services, however, if you are completely unprepared, you may have some issues. I think that in particular you will need a mo...

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How has SAP Data Services helped your organization?

SAP Data Services has helped our whole staff understand the data across various sources and systems within the company. Not everyone who works at my organization is an IT expert - most just have av...

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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

SAP Information Steward vs Oracle Enterprise Data Quality (EDQ)

Compared 17% of the time

More Oracle Enterprise Data Quality (EDQ) Competitors

Syniti Data Quality vs SAP Data Services

Compared 14% of the time

Palantir Foundry vs SAP Data Services

Compared 7% of the time

Informatica PowerCenter vs SAP Data Services

Compared 6% of the time

SSIS vs SAP Data Services

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Services

Compared 5% of the time

More SAP Data Services Competitors

Product Reports

Buyer's Guide

Data Quality

December 2025

Oracle Enterprise Data Quality (EDQ) report

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Buyer's Guide

SAP Data Services

December 2025

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Also Known As

Datanomic

SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator

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 Data Services is a top-ranking data integration and data quality tool. This is a product that aims to provide its users with effective access to their data in order to transform it and connect it to various business processes. SAP Data Services offers companies detailed data insights which improve decision-making and make company operations more effective.

Organizations can increase the value of their structured and unstructured data with the functionalities of this product regarding data integration, quality, and cleansing. Through various components such as:

Simplified maintenance
On-premises deployment
Data quality and integration
Intuitive user interfaces

the product transforms data into a ready-to-use resource for business insights.

Some of the key components of SAP Data Services include:

Universal data access
Native-text data processing
Intuitive user interfaces
Data quality dashboards
Simplified data governance
Scalability and high performance

Through these components, the product allows its clients to access and integrate data sources and targets with native connectors. Users can derive meaning from unstructured text data, match data to reduce duplicates, and see the impact of data quality issues. The tool also offers the option to enable parallel processing, bulk data loading, and grid computing for high-volume data loads.

SAP Data Services Features

The solution has different features for data integration, data quality, data profiling, and processing of text data. Using these features, clients can manage their company's data easily and achieve excellent results by optimizing it. Some of the product’s features include:

Data integration capabilities: The features regarding data integration provide a wide variety of opportunities. The product is available in 31 languages and connects to many data sources, providing its clients with access to their data anywhere at any time. It is also integrated with the SAP Business Suite applications, allowing users the full experience that the company has to offer. The tool is interconnected with SAP Data Hub, orchestrating data flows through the SAP Data Intelligence solution. Additionally, it supports a large number of third-party data sources, it is optimized for SAP HANA, and provides fine-tuned data replication and transformation through unique mechanisms.
Data quality capabilities: Clients can use a single interface to access designing, testing, debugging, editing, running, maintaining, and monitoring of data integration and data quality. It allows for the delivery of ready-to-use transformations and exposes hidden problems in users' data. With this feature, clients can build a single version of their data that is most efficient for them.
Data profiling capabilities: Companies that work with high-volume data can employ parallel processing, bulk data loading, and grid computing to be able to operate with the data more efficiently. This feature enables unlimited scalability and high availability by various automations. It also provides excellent security for the treated data through encryption and other services.
Processing of text data capabilities: This feature allows users to extract data from unstructured texts and understand it better. It works with 220 different file and text formats and 31 languages.

SAP Data Services Benefits

This solution offers various benefits to its clients regarding the efficient operation of their data. The key benefits of SAP Data Services include:

Broad access to data which can build a better perspective for companies of their information.
Improved decision-making and information management due to efficient data operations.
Ability to utilize various tools to help unify data on premises, in the cloud, or within big data.
The software provides efficient insight for reporting and data analytics.
The tool allows for easy integration with a large number of different databases.
The product provides the opportunity to seamlessly connect with other SAP solutions.
The solution simplifies extract, transform, and load (ETL) construction processes through intuitive graphic software.

Reviews from Real Users

According to Michael Lutz, senior data warehouse developer at Fox Chase Cancer Center, SAP Data Services is a powerful tool that does a lot.

An associate consultant at a consultancy says the tool is easy to use, simple to implement, and offers very good mapping capabilities.

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,

EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. SAP Data Services

December 2025

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