Oracle Enterprise Data Quality (EDQ) vs SAS Viya Platform comparison

Oracle and SAS are both solutions in the Data Quality category. Oracle is ranked #13, while SAS is ranked #6 with an average rating of 7.8. Oracle holds a 3.6% mindshare in DQ, compared to SAS’s 1.5% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 100% of SAS users who would recommend it.

Oracle Enterprise Data Qual...

Read 8 Oracle Enterprise Data Quality (EDQ) reviews

1,658 Views
1,641 Comparison Views

88% willing to recommend

SAS Viya Platform

Read 10 SAS Viya Platform reviews

2,796 Views
559 Comparison Views

100% willing to recommend

Oracle Enterprise Data Qual...

SAS Viya Platform

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jun 3, 2026

Oracle Enterprise Data Quality and SAS Viya Platform are leading competitors in data management and analytics. Oracle EDQ tends to excel in cost-effectiveness and user satisfaction, whereas SAS Viya Platform is recognized for its advanced analytical prowess and technological tools that justify a higher price.

Features: Oracle EDQ provides robust data quality management with effective data integration, cleansing capabilities, and entity matching. It seamlessly integrates third-party applications and offers ease of management within Oracle Data Integrator. SAS Viya Platform offers comprehensive analytics, including cloud-native SaaS architecture, high-performance processing with CAS, and extensive data visualization, eliminating the need for separate visualization tools. It also supports machine learning and AI technologies for advanced data analysis.

Room for Improvement: Oracle EDQ can enhance its analytical capabilities and expand machine learning functionalities. Improvement in user interface design and more integration options with big data platforms would be beneficial. SAS Viya Platform could improve reporting calculations and ease of customizing reports. Documentation simplification and more intuitive user interaction on reporting interfaces could enhance usability further.

Ease of Deployment and Customer Service: Oracle EDQ offers an intuitive deployment process and responsive customer service. Users appreciate the minimal setup requirements and prompt support. SAS Viya Platform may have a more complex initial setup due to its broad feature set. However, it provides detailed documentation and expert assistance to handle this complexity effectively.

Pricing and ROI: Oracle EDQ presents a cost-effective option with competitive pricing that delivers swift returns on investment. Its data management capabilities appeal to cost-conscious customers. SAS Viya Platform, despite a higher initial investment, provides significant long-term value with its extensive analytical functions, making it suitable for organizations pursuing deep data insights.

To learn more, read our detailed Oracle Enterprise Data Quality (EDQ) vs. SAS Viya Platform Report (Updated: August 2026).

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. SAS Viya Platform

August 2026

Download the complete report

Helped 909,725 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 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

SAS Viya Platform

Ranking in Data Quality

6th

Average Rating

7.8

Reviews Sentiment

5.2

Number of Reviews

Ranking in other categories

Data Integration (21st), Data Governance (11th), Data Management Platforms (DMP) (6th)

Mindshare comparison

As of August 2026, in the Data Quality category, the mindshare of Oracle Enterprise Data Quality (EDQ) is 3.6%, up from 1.4% compared to the previous year. The mindshare of SAS Viya Platform is 1.5%. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
SAS Viya Platform	1.5%
Oracle Enterprise Data Quality (EDQ)	3.6%
Other	94.9%

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.

Read full review

Khushal Jdai

Assistant Manager Data Analytics (WFM) at Johari Digital Healthcare Limited

Modern analytics has transformed large data into faster insights and streamlined reporting

There are some areas of improvement I would mention regarding SAS Viya Platform. New users may find it complex initially, as its learning curve can be steep. Understanding CAS and different components is very challenging for a new user. The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives. There are also some limitations in Visual Analytics. While it is easy to use, it could be more flexible compared to Power BI or Tableau. These are the main improvement areas where SAS Viya Platform should focus. I would add some additional pointers about needed improvements in SAS Viya Platform. Regarding customer support, it is good, but the response time for complex issues can sometimes be slower than expected. The documentation and learning resources are not very beginner-friendly, making it challenging for beginners to navigate. Regarding integration, it could be smoother with Databricks, Snowflake, and Power BI, but it is more complex than it should be. Since updates are automatic, users are sometimes not fully aware of changes or new features that are being updated, as compared to Power BI, which publishes updates on its website. SAS Viya Platform should work on these aspects.

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."

"Oracle EDQ is indeed a state-of-the-art tool that will help you understand, improve, protect, and govern the quality of your enterprise data in a single integrated and collaborative environment."

"The technical support is very good; we had a good experience with the support."

"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)."

"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."

More Oracle Enterprise Data Quality (EDQ) pros

"Eliminating the need for separate visualization tools has greatly affected my team's workflow because it is just one integrated tool, one integrated platform."

"Using SAS Viya Platform, I saw approximately a thirty to forty percent reduction in data processing time due to CAS in-memory computing, and I also reduced manual reporting efforts by approximately forty to fifty percent through automation and self-service dashboards, which definitely saved resources for my organization."

"Since starting to work with SAS Viya Platform, the positive impact we have seen includes improvements in distributing data sets for better analytics and machine learning."

"SAS Viya Platform has positively impacted my organization by saving time compared to when we were using SAS 9.4, as we can now work on two to three projects simultaneously within one hour, which is a significant improvement."

"SAS Viya Platform has positively impacted my organization, as previously I was using SAS 9.4, and after migrating to SAS Viya Platform, we are able to present the data in useful ways that save our time and give sponsors a new opportunity to look at the data, which is a very good thing."

"Many good things stand out about SAS Viya Platform, including that it is a very mature tool, very reliable, and performs very consistently."

"SAS Viya Platform has positively impacted our organization by allowing us to make concrete decisions about stock ordering without either underordering or overcommitting financially across a wide range of products."

"In my experience, the best feature of SAS Viya Platform is that it is very quick in doing the analysis, does the job very quickly and very well without any issues, and I was able to do multiple analyses at the same time."

More SAS Viya Platform pros

Cons

"We have experienced some system crashes i.e. when tying to run Data Profiling Processes for very large data sets."

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

"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."

"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."

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

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

"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."

More Oracle Enterprise Data Quality (EDQ) cons

"I rate it a nine because for a fresher, the platform might not be entirely intuitive."

"The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives."

"On the integration side, the PROC HTTP-based indexing is fragile."

"I would advise others looking into using SAS Viya Platform to go ahead if their budget allows."

"I think SAS Viya Platform could be improved as it is a little bit limited; for instance, you have to purchase specific features such as charts and quality control, so it is not a full analytics product."

"I have one complaint about SAS Viya Platform: it offers so many options in each application that someone new who is not familiar with SAS functionality might have trouble, as the learning curve can be very hard for a new learner."

"It was very difficult to build the required calculations directly on the reporting side, and we sometimes struggled."

"However, the complexity of licensing and learning curves for users can be challenging."

More SAS Viya Platform cons

Pricing and Cost Advice

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

"The vendor needs to revisit their pricing strategy."

Information not available

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

909,725 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Construction Company

14%

Comms Service Provider

12%

Manufacturing Company

Outsourcing Company

Construction Company

24%

Manufacturing Company

13%

Healthcare Company

Comms Service Provider

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	2
Midsize Enterprise	10
Large Enterprise	7

Questions from the Community

Ask a question

Earn 20 points

What is your experience regarding pricing and costs for SAS Viya Platform?

I am not much aware of the pricing, setup cost, and licensing of SAS Viya Platform because that was handled by the administrator. However, I do not think it is too costly to use. I never did a comp...

See all answers

What needs improvement with SAS Viya Platform?

I would rate SAS Viya Platform an eight on a scale of one to ten. I chose an eight because it is a great product that we rely on heavily. However, the complexity of licensing and learning curves fo...

See all answers

What is your primary use case for SAS Viya Platform?

Our main use case for SAS Viya Platform is analytics, particularly predictive analytics to determine demand planning and forecasting of stock. We are also interested in exploring ways we can use it...

See all answers

Comparisons

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

Compared 15% of the time

SAP Information Steward vs Oracle Enterprise Data Quality (EDQ)

Compared 9% of the time

Trillium Quality vs Oracle Enterprise Data Quality (EDQ)

Compared 9% of the time

Datactics Labs vs Oracle Enterprise Data Quality (EDQ)

Compared 8% of the time

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

Compared 8% of the time

More Oracle Enterprise Data Quality (EDQ) Competitors

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

Compared 24% of the time

Palantir Foundry vs SAS Viya Platform

Compared 17% of the time

SAP Data Services vs SAS Viya Platform

Compared 13% of the time

Microsoft Fabric vs SAS Viya Platform

Compared 13% of the time

Databricks vs SAS Viya Platform

Compared 8% of the time

More SAS Viya Platform Competitors

Product Reports

Buyer's Guide

Data Quality

August 2026

Oracle Enterprise Data Quality (EDQ) report

Download Oracle Enterprise Data Quality (EDQ) product report

Buyer's Guide

SAS Viya Platform

July 2026

Download SAS Viya Platform product report

Also Known As

Datanomic

No data available

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

SAS Viya Platform is an advanced data management and analytics tool designed to deliver powerful insights and foster collaboration across teams. It provides flexible and scalable solutions for data analysis, perfect for tech-savvy professionals seeking robust analytics capabilities.

SAS Viya Platform enhances data-driven decisions with its cloud-enabled analytics capabilities. By supporting open-source integration and visual data manipulation, it caters to a diverse range of analytical needs. Its innovative approach to machine learning and AI streamlines operations, helping companies achieve efficient data utilization strategies across departments. Offering robust technical support, it facilitates seamless implementation and rapid adoption, making it ideal for informed analytics exploration.

What are the key features of SAS Viya Platform?

Open Integration: Easily integrates with open-source tools, enhancing adaptability and flexibility.
Scalable Architecture: Designed for easy scalability to accommodate growing data needs.
Machine Learning Capabilities: Offers innovative machine learning tools for enhanced predictive analytics.
Visual Data Exploration: Provides intuitive visual interfaces for comprehensive data analysis.
Robust Security: Ensures data protection with advanced security measures.

What benefits or ROI should users look for in reviews?

Enhanced Efficiency: Increases operational efficiency with streamlined data processes and workflows.
Cost-Effective Scalability: Lowers costs by offering flexible and scalable solutions.
Comprehensive Support: Offers extensive technical support for smooth adoption and use.
Improved Decision-Making: Provides deep insights that inform strategic decisions.
Data-Driven Innovation: Encourages innovative approaches in analytics through powerful tools.

SAS Viya Platform is widely adopted across industries like banking, healthcare, and retail, offering tailored analytics solutions to address industry-specific challenges. In healthcare, for instance, it streamlines patient data insights, while in banking, it optimizes fraud detection processes. In retail, it enhances customer experience analytics, demonstrating its versatile application.

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,

Information Not Available

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. SAS Viya Platform

August 2026

Free Report: Oracle Enterprise Data Quality (EDQ) vs. SAS Viya Platform

Find out what your peers are saying about Oracle Enterprise Data Quality (EDQ) vs. SAS Viya Platform and other solutions. Updated: August 2026.

DOWNLOAD NOW

909,725 professionals have used our research since 2012.

See our Oracle Enterprise Data Quality (EDQ) vs. SAS Viya Platform 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.