Oracle Data Quality vs SAS Data Management comparison

Oracle and SAS are both solutions in the Data Quality category. Oracle is ranked #15, while SAS is ranked #11 with an average rating of 7.5. Oracle holds a 1.6% mindshare in DQ, compared to SAS’s 2.2% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 87% of SAS users who would recommend it.

Oracle Data Quality

Read 8 Oracle Data Quality reviews

343 Views
147 Comparison Views

88% willing to recommend

SAS Data Management

Read 16 SAS Data Management reviews

211 Views
175 Comparison Views

87% willing to recommend

Oracle Data Quality

SAS Data Management

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Executive SummaryUpdated on Jan 6, 2025

Oracle Data Quality and SAS Data Management compete in the data management solutions category. Oracle might appeal more to those seeking seamless integration and cost-effectiveness, while SAS is ideal for users prioritizing advanced analytics.

Features: Oracle Data Quality provides robust integration with Oracle databases, supports efficient automation, and includes powerful data cleansing tools. These features enhance operational efficiency and data accuracy. SAS Data Management offers sophisticated data profiling, extensive transformation features, and a comprehensive analytics suite, allowing for deep insights and advanced data manipulation.

Room for Improvement: Oracle could improve by expanding its analytics capabilities and user interface flexibility. SAS might need enhancements in integration processes, user experience simplification, and reducing the learning curve for new users. Both solutions could consider better real-time data processing capabilities.

Ease of Deployment and Customer Service: Oracle Data Quality features easy deployment with strong database compatibility, supported by quick and responsive customer service. SAS Data Management requires more time for deployment due to its customization options, presenting a steeper learning curve. However, SAS provides personalized customer support tailored to individual needs.

Pricing and ROI: Oracle Data Quality offers lower initial setup costs yielding quicker ROI, attracting budget-conscious businesses. In contrast, SAS Data Management has higher upfront costs but promises long-term value through its robust features and extensive analytics capabilities. This makes SAS appealing to those investing in comprehensive data management solutions.

To learn more, read our detailed Oracle Data Quality vs. SAS Data Management Report (Updated: March 2025).

Buyer's Guide

Oracle Data Quality vs. SAS Data Management

March 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 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

SAS Data Management

Ranking in Data Quality

11th

Average Rating

8.4

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (35th), Data Governance (26th)

Mindshare comparison

As of April 2025, in the Data Quality category, the mindshare of Oracle Data Quality is 1.6%, down from 2.0% compared to the previous year. The mindshare of SAS Data Management is 2.2%, up from 2.2% 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.

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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

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

"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 product offers very good flexibility."

"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."

"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 technical support is excellent."

"If you compare it to SQL, the memory and development times are very quick."

"The tool is reliable, quick, and powerful."

More SAS Data Management 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."

"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."

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

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

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

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

"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."

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

"Integration and cloud migration are areas where we see potential for improvement."

More SAS Data Management cons

Pricing and Cost Advice

"The vendor needs to revisit their pricing strategy."

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

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

"The tool is a bit expensive."

"The solution is expensive."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Computer Software Company

11%

Manufacturing Company

University

Financial Services Firm

29%

Computer Software Company

12%

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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What do you like most about SAS Data Management?

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

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

The licensing model for vCenter is a perpetual license with yearly payments. This model ensures continuous updates and support while managing initial setup costs.

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What needs improvement with SAS Data Management?

Integration and cloud migration are areas where we see potential for improvement. A more seamless integration process and transitioning to a cloud-based environment would enhance user-friendliness ...

See all answers

Comparisons

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

Compared 100% of the time

More Oracle Data Quality Competitors

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

Compared 21% of the time

Palantir Foundry vs SAS Data Management

Compared 17% of the time

Informatica PowerCenter vs SAS Data Management

Compared 15% of the time

Collibra Governance vs SAS Data Management

Compared 11% of the time

Ab Initio Co>Operating System vs SAS Data Management

Compared 10% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

Data Quality

March 2025

Download Oracle Data Quality product report

Buyer's Guide

SAS Data Management

March 2025

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Also Known As

Datanomic

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

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,

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

Buyer's Guide

Oracle Data Quality vs. SAS Data Management

March 2025

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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.