Try our new research platform with insights from 80,000+ expert users

Oracle Data Relationship Management vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 18, 2025

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 Relationship Ma...
Ranking in Master Data Management (MDM) Software
8th
Average Rating
8.8
Reviews Sentiment
6.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Master Data Management (MDM) Software
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
54
Ranking in other categories
Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)
 

Mindshare comparison

As of January 2026, in the Master Data Management (MDM) Software category, the mindshare of Oracle Data Relationship Management is 3.4%, up from 2.4% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.1%, down from 10.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Market Share Distribution
ProductMarket Share (%)
Qlik Talend Cloud6.1%
Oracle Data Relationship Management3.4%
Other90.5%
Master Data Management (MDM) Software
 

Featured Reviews

reviewer951816 - PeerSpot reviewer
Senior DRM Architect at a financial services firm with 10,001+ employees
Enhancing data management with valuable workflow features while seeking improved automation capabilities
We use Oracle Data Relationship Management for enterprise reference data and finance reference data. Additionally, we utilize it for master data management in our industry It has been fine for what we need it for, adapting to changes in regulations and compliance requirements. It supports our…
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

"It is a stable solution. Stability-wise, I rate the solution a ten out of ten."
"The most valuable feature is the ability to use JavaScript in formulas."
"Using DRG within Oracle Data Relationship Management has been beneficial for our organization."
"The solution is very user-friendly and easy to understand."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"The most valuable feature is integration."
"Talend's most valuable feature is its ability to generate code and packages efficiently."
"The solution can run on any machine and that is a big advantage."
"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."
 

Cons

"Better external connections and API integrations are needed."
"When we moved to the cloud, it was extremely complicated."
"Improvements are needed in the fees and the licensing part. The tool's price can be made lower."
"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."
"The product must enhance the data quality."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."
"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."
"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."
"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."
"There are too many functions which could be streamlined."
 

Pricing and Cost Advice

"The price of the solution is very, very high."
"The solution's pricing is very reasonable and half the cost of Informatica."
"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 product pricing is considered very good, especially compared to other data integration tools in the market."
"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."
"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."
"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."
"The licensing cost is about 40,000 Euros a year."
report
Use our free recommendation engine to learn which Master Data Management (MDM) Software solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
14%
Educational Organization
12%
Performing Arts
10%
Financial Services Firm
12%
Computer Software Company
10%
Comms Service Provider
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise20
 

Questions from the Community

What is your experience regarding pricing and costs for Oracle Data Relationship Management?
I am not privy to pricing information, but we have a very good deal with Oracle, having an enterprise license.
What needs improvement with Oracle Data Relationship Management?
There is a scope for improvement in automation and AI capabilities within Oracle Data Relationship Management. Better external connections and API integrations are needed.
What is your primary use case for Oracle Data Relationship Management?
We use Oracle Data Relationship Management for enterprise reference data and finance reference data. Additionally, we utilize it for master data management in our industry.
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.
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...
 

Also Known As

No data available
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

MTN, SITA
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Oracle Data Relationship Management vs. Qlik Talend Cloud and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.