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Oracle Product Hub 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 Product Hub
Ranking in Cloud Master Data Management (MDM)
11th
Average Rating
8.0
Reviews Sentiment
8.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Cloud Master Data Management (MDM)
4th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (6th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (9th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of June 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Oracle Product Hub is 3.6%, up from 2.8% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.7%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.7%
Oracle Product Hub3.6%
Other88.7%
Cloud Master Data Management (MDM)
 

Featured Reviews

it_user316044 - PeerSpot reviewer
Founder & President at Hub Designs
Different types of products can have different attributes in the master product record, but there seem to be deployment issues that require a reliable SI.
The powerful attribution management capability, which allows different types of products to have different attributes in the master product record We implement it for other customers, but don't run it ourselves. It has essentially been "frozen" by Oracle - they don't seem to be updating it any…
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

"We found, most valuable, the ability to view all the information about all of our Items (previously in 8 different systems) in one screen."
"It is a solid, reliable product with a robust development history and good support behind them."
"tLogRows are also great for finding bad data."
"Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development."
"It has definitely streamlined certain processes.​"
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
"I like everything about this product, but the biggest thing is the ease of use."
"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."
"Talend is a good product and I recommend it."
"The solution is very user-friendly and easy to understand."
 

Cons

"It has essentially been "frozen" by Oracle - they don't seem to be updating it any further."
"Some of our users are very picky. This is common, but almost none like the out-of-box report writing, specifically the Ad-hoc reports."
"The usage of memory. This tool uses a huge amount of memory."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
"Data management could also encompass APIs and real-time streaming data integration."
"Account for Java developers/custom development efforts apart from DQ functional/technical expertise, to use Talend DQ product to the fullest."
"The solution's memory sometimes bottlenecks and that can be challenging."
"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."
"I would say that some of the support elements need improvement."
 

Pricing and Cost Advice

Information not available
"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 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."
"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 solution's pricing is very reasonable and half the cost of Informatica."
"I have been using the open-source version."
"License renewal is on a yearly basis."
"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."
"It's a subscription-based platform, we renew it every year."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Comms Service Provider
9%
Construction Company
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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

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

Posco, Donaldson Company Inc., Agilent, Gulf Air, Walmart Stores Inc., Babcock International Group Plc, Griffith University, Pella Corporation, Zebra Technologies
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Oracle Product Hub vs. Qlik Talend Cloud and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.