Oracle Data Quality vs Talend Data Quality comparison

Oracle and Talend are both solutions in the Data Quality category. Oracle is ranked #15, while Talend is ranked #5 with an average rating of 8.0. Oracle holds a 1.5% mindshare in DQ, compared to Talend’s 5.5% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.

Oracle Data Quality

Read 8 Oracle Data Quality reviews

325 Views
319 Comparison Views

88% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,296 Views
1,037 Comparison Views

89% willing to recommend

Oracle Data Quality

Talend Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Oracle Data Quality and Talend Data Quality are solutions in data quality management. Oracle offers a cost-effective solution with strong customer service, while Talend impresses with its comprehensive features.

Features: Oracle Data Quality provides data profiling, cleansing, and integration with Oracle systems. Talend Data Quality offers advanced integration tools, open-source flexibility, and extensive connectivity options.

Room for Improvement: Oracle could enhance feature diversity beyond Oracle environments. Talend could improve by simplifying its learning curve and enhancing customer support. Oracle needs better compatibility with non-Oracle systems. Talend may benefit from streamlined onboarding processes.

Ease of Deployment and Customer Service: Oracle integrates seamlessly within Oracle environments, offering smooth deployments backed by solid customer service. Talend's open-source nature provides flexibility but can be complicated by a steeper learning curve.

Pricing and ROI: Oracle is known for lower setup costs with a favorable ROI, appealing to budget-conscious buyers. Talend may require a higher initial investment but offers significant ROI through advanced data capabilities, satisfying complex data needs.

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

Buyer's Guide

Oracle Data Quality vs. Talend Data Quality

July 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

Talend Data Quality

Ranking in Data Quality

5th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Scrubbing Software (3rd)

Mindshare comparison

As of August 2025, in the Data Quality category, the mindshare of Oracle Data Quality is 1.5%, down from 1.6% compared to the previous year. The mindshare of Talend Data Quality is 5.5%, down from 6.7% 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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WesamHabboub

Chief Consultant at Insight360

Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy

Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users. The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.

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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."

"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."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

"It has definitely streamlined certain processes."

"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."

"It lowers the amount of time in development from weeks to a day."

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."

"This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted."

"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."

More Talend Data Quality pros

Cons

"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."

"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."

"The ability to change the code when debugging the JavaScript could be improved."

"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."

"You can't join more than two tables for analysis."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."

More Talend Data Quality cons

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 advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"It's a subscription-based platform, we renew it every year."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

13%

Financial Services Firm

10%

Government

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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What do you like most about Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

See all answers

What is your experience regarding pricing and costs for Talend Data Quality?

There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...

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What needs improvement with Talend Data Quality?

Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...

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Comparisons

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Compared 63% of the time

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

Compared 37% of the time

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Compared 23% of the time

ibi Data Quality vs Talend Data Quality

Compared 14% of the time

DQ Global Data Quality vs Talend Data Quality

Compared 12% of the time

Precisely Trillium vs Talend Data Quality

Compared 10% of the time

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Product Reports

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Data Quality

July 2025

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Buyer's Guide

Talend Data Quality

July 2025

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Also Known As

Datanomic

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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

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.

Talend

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,

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Oracle Data Quality vs. Talend Data Quality

July 2025

Free Report: Oracle Data Quality vs. Talend Data Quality

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