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Qlik Talend Cloud vs Reltio Cloud comparison

 

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

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)
Reltio Cloud
Ranking in Cloud Master Data Management (MDM)
2nd
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
16
Ranking in other categories
AI Data Analysis (4th), AI Customer Experience Personalization (8th)
 

Mindshare comparison

As of June 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Qlik Talend Cloud is 7.7%, up from 4.5% compared to the previous year. The mindshare of Reltio Cloud is 9.4%, down from 17.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Mindshare Distribution
ProductMindshare (%)
Reltio Cloud9.4%
Qlik Talend Cloud7.7%
Other82.9%
Cloud Master Data Management (MDM)
 

Featured Reviews

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.
reviewer2826747 - PeerSpot reviewer
Data Domain Lead at a government with 10,001+ employees
Unified data has created trusted golden records but complex AI matching still needs clearer control
Reltio Cloud has greatly enhanced our data management, and I acknowledge there are areas where our team continues to face challenges. Specifically, the AI-based matching feature operates like a black box, making it difficult to understand why certain records are matched or not matched accurately. If there could be better visual debugging and clarity regarding why records are matched, it would significantly aid our decision-making process. The technical configuration, particularly regarding data models and rule matching, can be overly complex for business users, hence a more user-friendly approach, with simplified guidelines, would be incredibly beneficial. Additionally, data stewardship can present complexities, and clearer actions can facilitate addressing these challenges. Performance issues can arise with larger data models and numerous data sources impacting system use, hence enhancements in optimization and ready-to-use features for complex configurations are essential. Pricing can also be convoluted; therefore, a clearer cost model would aid users in comprehending the structure. While data lineage has its merits, it is complex to interpret; thus, improved visualization would greatly benefit users. Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement.

Quotes from Members

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

Pros

"​It lowers the amount of time in development from weeks to a day.​"
"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."
"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."
"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."
"We are still in the process of evaluating them, but I love the way things look in Talend, and I'm all for Talend."
"Extract, Transform, and Load (ETL) transformations are open source and is a valuable feature."
"The Talend software is very simple to install."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"The most valuable feature is real-time synchronization. You can see the events as soon as they are posted within a couple of fraction seconds."
"Reltio Cloud has positively impacted my organization because we were able to promote our data and sell data to our customers."
"The cloud feature is very beneficial, and the scalability performance feature is excellent."
"Reltio Cloud has introduced a single source of truth, a solution to issues caused by teams sharing data via email and losing track of the latest updates, and as a result, up to 97-78% of operations now have a clearer view, allowing us to focus more on enhancing our operations rather than rectifying data discrepancies, thus productivity has surged, leading to significant cost reductions, with my estimate being over a million dollars in savings within the last few months, enabling faster decision-making and real-time data access without the need for manual compilation."
"We can store the data and enrich it from multiple sources."
"It is a scalable product, and the scalability is good. We can configure users."
"It is very easy to learn. The"
"There are default limitations and considerations. For instance, Reltio can store a maximum of 200 values for a single attribute. If your data exceeds this limit, you can request Reltio support to increase the limit. However, be aware that increasing this limit may impact performance, potentially slowing down data loading times."
 

Cons

"The solution's memory sometimes bottlenecks and that can be challenging."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."
"I think the memory issues we faced when using the 3GB RAM compared to the 4GB RAM computers caused lot of issues."
"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."
"They lack in memory capacity."
"Once you get past the basic tools, it gets pretty complicated."
"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."
"There is some lag in developing new features for specific business requirements. If a new feature is needed, we have to raise a request in the developer portal through the IDEA portal. This process takes time to develop, which can be a drawback when immediate business needs arise."
"The deployment is difficult."
"Sometimes, the service goes down for maintenance or when we run a lot of jobs so things get pushed to the queue and results don't get delivered on time."
"The download process can be quite slow"
"Initially, the UI was limited in features."
"We need manual data modeling and configuration to tailor the platform to our requirements."
"What could be improved about Reltio Cloud was minimal."
"Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement."
 

Pricing and Cost Advice

"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 solution's pricing is very reasonable and half the cost of Informatica."
"The tool is cheap."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"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 licensing cost is about 40,000 Euros a year."
"I have been using the open-source version."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Comms Service Provider
9%
Construction Company
7%
Computer Software Company
7%
Computer Software Company
12%
Financial Services Firm
11%
Manufacturing Company
11%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
 

Questions from the Community

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...
What needs improvement with Reltio Cloud?
In future updates of Reltio Cloud, I would like to see features such as AI for match and merge, which can create predefined AI address doctors and match and merge for customer data, easily integrat...
What is your primary use case for Reltio Cloud?
I use Reltio Cloud for customer data management, specifically for C-MDM purposes.
What advice do you have for others considering Reltio Cloud?
Reltio Cloud was not purchased through AWS Marketplace or directly from the vendor. It was already available in my company at that time, so I used the system to showcase its capabilities. What coul...
 

Also Known As

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
No data available
 

Overview

 

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
iMiDiA, Slalom, MeritDirect, Cognizant
Find out what your peers are saying about Qlik Talend Cloud vs. Reltio Cloud and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.