Oracle Data Quality vs SAP Data Services vs SAS Data Management 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 8.2. Oracle holds a 2.1% mindshare in DQ, compared to SAP’s 7.0% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 86% of SAP users who would recommend it.

Oracle Data Quality

Read 8 Oracle Data Quality reviews

381 Views
377 Comparison Views

88% willing to recommend

SAP Data Services

Read 51 SAP Data Services reviews

4,545 Views
1,136 Comparison Views

86% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

1,638 Views
278 Comparison Views

88% willing to recommend

Oracle Data Quality

SAP Data Services

SAS Data Management

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Oracle Data Quality, SAP Data Services, and SAS Data Management based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Ataccama and others in Data Quality.

To learn more, read our detailed Data Quality Report (Updated: October 2025).

Buyer's Guide

Data Quality

October 2025

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Helped 869,095 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:

Mindshare comparison

As of October 2025, in the Data Quality category, the mindshare of Oracle Data Quality is 2.1%, up from 1.5% compared to the previous year. The mindshare of SAP Data Services is 7.0%, down from 14.2% compared to the previous year. The mindshare of SAS Data Management is 2.8%, up from 2.0% 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	7.0%
SAS Data Management	2.8%
Oracle Data Quality	2.1%
Other	88.1%

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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Ramesh Pampana

Manager, SAP Practice at a computer software company with 1,001-5,000 employees

Has consistently provided impressive data handling capabilities and robust security features

Some of the most valuable features of SAP Data Services include data extraction where SAP is the best in that perspective, but when it comes to analytics or the reporting tool, I prefer to connect with Microsoft Power BI, which is a fantastic tool. Typically, from an end-user perspective, SAP has a huge amount of data, in terms of terabytes of data, but when you analyze that, the best form of visualization is always through Microsoft Power BI. SAP Data Services provides a best-in-class return on investment, as SAP's vision and forecast are absolutely amazing. They are ahead of technology, building an ecosystem that meets the standards of the fast-changing digital economy. SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.

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Vivek Trivedi

Head finance transformation at Ahli United Bank Ksc

Has robust data governance capabilities and efficient financial alerting features

The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.

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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

"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."

"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."

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

"The most valuable feature is the ETL functionality."

"I appreciate having access to the SAP data."

"The solution has good connectivity with SAP."

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

"Technical support from SAP is awesome. If we have an issue, they give a good solution."

"The product's most valuable features are data validation and rules."

"The user interface is ok."

More SAP Data Services pros

"I find the solution to be very stable."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool."

"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

"The product offers very good flexibility."

"I am impressed with the tool's ability to customize."

"The technical support is excellent."

More SAS Data Management pros

Cons

"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."

"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 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 migration of the solution between different environments is quite complex."

"The pricing of the solution should be improved."

"Regarding the pricing for SAP Data Services, I think it's on the higher side. Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others."

"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."

"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."

"They could make it easier to work with web services."

"It's an ETL that is very good with relational databases but not as good with files and semi-structured files."

"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."

More SAP Data Services cons

"I would like the tool to include the ability to automate the modifications of the integrations."

"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."

"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues."

"There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage."

"The solution is quite expensive and hard to install/configure."

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

More SAS Data Management cons

Pricing and Cost Advice

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

"The vendor needs to revisit their pricing strategy."

"The price of SAP Data Services is a little high when compared to other solutions. Due to the pricing and capabilities, many clients are switching to other solutions."

"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."

"It's relatively expensive compared to other vendors, but it is competitive."

"At the entry level, if you're using it only for data integration, it is a little bit cheap. However, for large organizations it can be expensive. There are additional costs apart from the license."

"The price is very reasonable."

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

"The enterprise version of SAP Data Services is free."

More SAP Data Services pricing and cost advice

"The solution is expensive."

"The tool is a bit expensive."

"The licensing model for vCenter is a perpetual license with yearly payments."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

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Top Industries

By visitors reading reviews

No data available

Manufacturing Company

15%

Computer Software Company

10%

Government

Financial Services Firm

30%

Government

10%

Computer Software Company

Manufacturing 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	12
Midsize Enterprise	5
Large Enterprise	36

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	8

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. ...

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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 unp...

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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 compan...

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What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

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What needs improvement with SAS Data Management?

There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS a...

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What is your primary use case for SAS Data Management?

Some clients and I are using SAS Data Management for data cleansing, data warehousing, and IoT-related activities suc...

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Comparisons

Trillium Quality vs Oracle Data Quality

Compared 59% of the time

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

Compared 41% of the time

More Oracle Data Quality Competitors

Syniti Data Quality vs SAP Data Services

Compared 20% of the time

Palantir Foundry vs SAP Data Services

Compared 8% of the time

Informatica PowerCenter vs SAP Data Services

Compared 6% of the time

Azure Data Factory vs SAP Data Services

Compared 6% of the time

SSIS vs SAP Data Services

Compared 5% of the time

More SAP Data Services Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 22% of the time

Collibra Governance vs SAS Data Management

Compared 14% of the time

Protegrity’s Data Protection Platform vs SAS Data Management

Compared 13% of the time

Palantir Foundry vs SAS Data Management

Compared 12% of the time

Microsoft Purview Data Governance vs SAS Data Management

Compared 9% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

Data Quality

October 2025

Download Oracle Data Quality product report

Buyer's Guide

SAP Data Services

September 2025

Download SAP Data Services product report

Buyer's Guide

SAS Data Management

September 2025

Download SAS Data Management product report

Also Known As

Datanomic

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

SAS Data Management Platform, Data Management Platform, DataFlux

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.

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

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

SAS

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

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance

Find out what your peers are saying about Informatica, SAP, Ataccama and others in Data Quality. Updated: October 2025.

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