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Oracle Enterprise Data Quality (EDQ) vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
8
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Quality
2nd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (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 Qlik Talend Cloud is 6.8%, down from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud6.8%
Oracle Enterprise Data Quality (EDQ)3.6%
Other89.6%
Data Quality
 

Featured Reviews

Venkatraman Bhat - PeerSpot reviewer
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.
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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)."
"The technical support is very good; we had a good experience with the support."
"With Oracle Data Quality, the most valuable feature is entity matching."
"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."
"The quality of data has vastly improved and our business intelligence reports are accurate in real time."
"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."
"However, I think Oracle Data Quality is definitely worth giving a try."
"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"If your use case depends on heterogeneous sources like Salesforce, SAP, and some other product information systems, I would recommend Talend."
"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 everything about this product, but the biggest thing is the ease of use."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"​It lowers the amount of time in development from weeks to a day.​"
"Extract, Transform, and Load (ETL) transformations are open source and is a valuable feature."
 

Cons

"Integration performance and availability of out of the box integration to more products (ERP Tools, Data Cleansing Software etc.)."
"If the length of time required for deployment was reduced then it would be very helpful."
"We have experienced some system crashes i.e. when tying to run Data Profiling Processes for very large data sets."
"Mobile support and mobile app can be implemented, since business users generally prefers to work with their laptops and mobile phones."
"The initial setup was complicated, there is a lot of configuration that needs to be done."
"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."
"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 I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."
"They lack in memory capacity."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."
"The product must enhance the data quality."
"The documentation from version to version could be more accurate. I have found information that is inaccurate or doesn't apply to the version I am trying to install or work in."
 

Pricing and Cost Advice

"The price of this solution is comparable to other similar solutions."
"The vendor needs to revisit their pricing strategy."
"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."
"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."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"The solution's pricing is very reasonable and half the cost of Informatica."
"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
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Top Industries

By visitors reading reviews
Construction Company
15%
Comms Service Provider
11%
Outsourcing Company
9%
Manufacturing Company
9%
Financial Services Firm
15%
Comms Service Provider
9%
Construction Company
9%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
What advice do you have for others considering Talend Data Quality?
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...
 

Also Known As

Datanomic
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

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
Find out what your peers are saying about Oracle Enterprise Data Quality (EDQ) vs. Qlik Talend Cloud and other solutions. Updated: August 2026.
908,858 professionals have used our research since 2012.