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Oracle Product Master Data Management Cloud vs Qlik Talend Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 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 Master Data ...
Ranking in Cloud Master Data Management (MDM)
11th
Average Rating
7.0
Reviews Sentiment
8.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Cloud Master Data Management (MDM)
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (4th), Cloud Data Integration (6th), Data Governance (8th), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of November 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Oracle Product Master Data Management Cloud is 3.1%, down from 3.2% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.4%, up from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.4%
Oracle Product Master Data Management Cloud3.1%
Other89.5%
Cloud Master Data Management (MDM)
 

Featured Reviews

Parshuram Sharma - PeerSpot reviewer
Business And Integration Practitioner at cmc
Used to manage the complete attributes of products, but its installation could be a little bit easier
The solution is deployed on the cloud in our organization. It's not difficult for people to learn to use the solution. Oracle provides training to use the solution through many training videos available on Oracle University. I would recommend the solution to other users. Once you create an item in the solution, it will be automatically available in other modules. The solution is fully integrated with other Oracle models. If you want to integrate the solution with non-Oracle modules, you have to work on it. There are always options to integrate the solution with non-Oracle applications. It would be easier to integrate the solution with other Oracle applications because there are options to do so. Overall, I rate the solution a seven out of ten.
Henrique Fsantos - PeerSpot reviewer
Data & Analytics Engineer at PicPay
Automated data pipelines have improved analytics workflows and provide trusted reporting data
The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

Quotes from Members

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

Pros

"The most valuable feature of the solution is the management of the complete attributes of products and services."
"We can develop our own code if we do not see the functionality we need."
"Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket."
"The primary use case is for data ingestion."
"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."
"tLogRows are also great for finding bad data."
"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."
"The Studio is easy to understand."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
 

Cons

"The solution's installation could be a little bit easier."
"The documentation from version to version could be more accurate."
"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"Processing large volumes of data sometimes consumes a lot of resources."
"First, We faced problems with stability of the products."
"Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
 

Pricing and Cost Advice

Information not available
"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."
"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 product pricing is considered very good, especially compared to other data integration tools in the market."
"I have been using the open-source version."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
11%
Construction Company
8%
 

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

Oracle Master Data Management Cloud, Product Master Data Management Cloud
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

Eaton, Orange Belgium, Archrock, POSCO
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Informatica, ON EBX, Qlik and others in Cloud Master Data Management (MDM). Updated: October 2026.
921,028 professionals have used our research since 2012.