Oracle Enterprise Data Quality (EDQ) vs Syniti Data Quality comparison

Oracle and Syniti are both solutions in the Data Quality category. Oracle is ranked #16, while Syniti is ranked #10. Oracle holds a 2.8% mindshare in DQ, compared to Syniti’s 3.8% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 100% of Syniti users who would recommend it.

Oracle Enterprise Data Qual...

Read 8 Oracle Enterprise Data Quality (EDQ) reviews

543 Views
538 Comparison Views

88% willing to recommend

Syniti Data Quality

Read 4 Syniti Data Quality reviews

998 Views
998 Comparison Views

100% willing to recommend

Oracle Enterprise Data Qual...

Syniti Data Quality

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 11, 2025

Oracle Enterprise Data Quality and Syniti Data Quality compete in the data management arena. Syniti holds the upper hand with its advanced data handling capabilities and quicker ROI, despite a higher price point.

Features: Oracle EDQ offers robust data profiling, cleansing, and governance functionalities. It is known for its dependable approach to data quality management. Syniti provides smart data integration and migration features, enabling it to handle complex data environments effectively. Its flexibility in managing diverse data scenarios gives it an advantage over EDQ's less dynamic features.

Ease of Deployment and Customer Service: Syniti's flexible deployment model and excellent support services streamline the setup process. The customer service model is noted for its responsiveness, leading to faster issue resolution. Oracle EDQ, while effective, has a longer installation process with a more formalized support approach.

Pricing and ROI: Oracle EDQ has a reasonable setup cost and offers significant ROI for long-term projects. Syniti's higher upfront costs are justified by its enhanced features and quicker ROI, particularly in complex data tasks, making it attractive despite the higher price.

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

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. Syniti Data Quality

December 2025

Download the complete report

Helped 881,082 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

16th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Syniti Data Quality

Ranking in Data Quality

10th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Quality category, the mindshare of Oracle Enterprise Data Quality (EDQ) is 2.8%, up from 1.5% compared to the previous year. The mindshare of Syniti Data Quality is 3.8%, down from 11.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Syniti Data Quality	3.8%
Oracle Enterprise Data Quality (EDQ)	2.8%
Other	93.4%

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

Raj AB

Delivery Head at ApikinFotech

Offers predefined rules and easy to migrate data with minimum customisation of rules

The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage. We should be able to tune the existing process by using simple SQL queries based on the customer's requirements. In future releases, I would like to see more features around Preload and postload reports. From the end-user point of view, it is not very feasible to read. I need to know how the data has been migrated. I need to know whether the complete data has been migrated, only the required data has been migrated, and how it was migrated. So the postload reports will give validation between the source data and the target source. It would give exact picture of the data migration.

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

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

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

"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."

"I have found the most valuable features to be data cleansing and deduplication."

"The customer service and support is good."

"Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports."

"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."

"With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them."

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 customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage."

"It would be good if Syniti Data Quality could integrate more AI in the future."

"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."

"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."

Pricing and Cost Advice

"The vendor needs to revisit their pricing strategy."

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

"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."

"The solution is expensive."

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

881,082 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Manufacturing Company

17%

Financial Services Firm

10%

Retailer

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Midsize Enterprise	2
Large Enterprise	7

No data available

Comparisons

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

Compared 26% of the time

Trillium Quality vs Oracle Enterprise Data Quality (EDQ)

Compared 16% of the time

SAP Information Steward vs Oracle Enterprise Data Quality (EDQ)

Compared 11% of the time

SAP Data Services vs Oracle Enterprise Data Quality (EDQ)

Compared 9% 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

SAP Data Services vs Syniti Data Quality

Compared 57% of the time

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

Compared 18% of the time

SAP Information Steward vs Syniti Data Quality

Compared 11% of the time

Qlik Talend Cloud vs Syniti Data Quality

Compared 9% of the time

Melissa Data Quality vs Syniti Data Quality

Compared 5% of the time

More Syniti Data Quality Competitors

Product Reports

Buyer's Guide

Data Quality

January 2026

Oracle Enterprise Data Quality (EDQ) report

Download Oracle Enterprise Data Quality (EDQ) product report

Buyer's Guide

Data Quality

January 2026

Download Syniti Data Quality product report

Also Known As

Datanomic

Syniti DQ

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

Data quality management solutions from Syniti provide a simplified and cost-effective approach. They create a closed-loop remediation process owned by business users that monitors and accurately remediates data that violates your standards for data quality.

Syniti

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,

Kraft Foods, Puget Sound Energy

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. Syniti Data Quality

December 2025

Free Report: Oracle Enterprise Data Quality (EDQ) vs. Syniti Data Quality

Find out what your peers are saying about Oracle Enterprise Data Quality (EDQ) vs. Syniti Data Quality and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,082 professionals have used our research since 2012.

See our Oracle Enterprise Data Quality (EDQ) vs. Syniti Data Quality 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.