Oracle Data Quality vs Syniti Data Quality comparison

Oracle and Syniti are both solutions in the Data Quality category. Oracle is ranked #15, while Syniti is ranked #4 with an average rating of 8.5. Oracle holds a 1.6% mindshare in DQ, compared to Syniti’s 11.5% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 100% of Syniti users who would recommend it.

Oracle Data Quality

Read 8 Oracle Data Quality reviews

343 Views
147 Comparison Views

88% willing to recommend

Syniti Data Quality

Read 4 Syniti Data Quality reviews

901 Views
712 Comparison Views

100% willing to recommend

Oracle Data Quality

Syniti Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Oracle Data Quality and Syniti Data Quality are competitive products in the data management sector, designed to improve data accuracy and integrity. Oracle seems to have an upper hand in pricing and integration with existing environments, while Syniti stands out for its advanced features and flexible deployment.

Features: Oracle Data Quality provides robust data profiling, matching, and enrichment capabilities. It integrates seamlessly with other Oracle solutions, creating a comprehensive data management ecosystem. Syniti Data Quality offers advanced data transformation, governance, and collaboration features. It enhances data quality through advanced analytics and machine learning capabilities, providing scalability for enterprise-level applications.

Ease of Deployment and Customer Service: Oracle Data Quality offers a well-documented deployment process for easy integration within Oracle environments, with efficient customer service and responsive support. Syniti Data Quality supports flexible deployment models for various infrastructures, and it provides detailed customer support for smooth integration into complex IT ecosystems.

Pricing and ROI: Oracle Data Quality offers competitive setup costs, appealing to budget-conscious buyers, with enhanced ROI through efficient data processing and integration. Syniti Data Quality requires a higher initial investment but delivers substantial ROI through powerful data management features, providing improved operational efficiency and data accuracy. The difference lies in Oracle’s affordability versus Syniti’s feature-rich advantages.

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

Buyer's Guide

Oracle Data Quality vs. Syniti Data Quality

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

Syniti Data Quality

Ranking in Data Quality

4th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

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 Syniti Data Quality is 11.5%, up from 7.5% 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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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.

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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."

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

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

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

"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."

"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 customer service and support is good."

Cons

"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."

"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."

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

"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."

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

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

Pricing and Cost Advice

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

"The vendor needs to revisit their pricing strategy."

"The solution is expensive."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Computer Software Company

11%

Manufacturing Company

University

Manufacturing Company

19%

Computer Software Company

13%

Financial Services Firm

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about Syniti Data Quality?

The customer service and support is good.

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What needs improvement with Syniti Data Quality?

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

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What is your primary use case for Syniti Data Quality?

Syniti Data Quality's use case is similar to what we do in SAP Information Steward. You can create a data quality report and your business Steward, which is more into cleansing the data. They will ...

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Comparisons

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

Compared 100% of the time

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SAP Data Services vs Syniti Data Quality

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

Compared 6% of the time

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Product Reports

Buyer's Guide

Data Quality

March 2025

Download Oracle Data Quality product report

Buyer's Guide

Data Quality

March 2025

Download Syniti Data Quality product report

Also Known As

Datanomic

Syniti DQ

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

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 Data Quality vs. Syniti Data Quality

March 2025

Free Report: Oracle Data Quality vs. Syniti Data Quality

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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.