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Qlik Talend Cloud vs Reltio 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

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 (3rd), Cloud Data Integration (6th), Data Governance (9th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
Reltio Cloud
Ranking in Cloud Master Data Management (MDM)
4th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
16
Ranking in other categories
AI Data Analysis (12th), AI Customer Experience Personalization (18th)
 

Mindshare comparison

As of September 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Qlik Talend Cloud is 7.7%, up from 5.8% compared to the previous year. The mindshare of Reltio Cloud is 8.7%, down from 16.0% 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%
Reltio Cloud8.7%
Other83.6%
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

"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."
"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."
"They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."
"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."
"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"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."
"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
"The Studio is easy to understand."
"Reltio Cloud has positively impacted my organization because we were able to promote our data and sell data to our customers."
"The most valuable feature of Reltio Cloud is the customization we can make in its functionality."
"It is a scalable product, and the scalability is good. We can configure users."
"Reltio Cloud has positively impacted my organization by reducing the amount of manual effort needed and making it easy to manage downstream systems."
"The survivorship feature is great because we can define it, prioritize the sources, and only allow those sources to survive when making the golden record."
"Its user interface is different from that of other MDM solutions like Informatica"
"We can store the data and enrich it from multiple sources."
"The matching feature of Reltio Cloud is highly effective compared to many other tools available. Additionally, it is almost ready to use out-of-the-box, reducing the implementation time."
 

Cons

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"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."
"There are no natural connections for some of the applications that I use more regularly."
"The ability to change the code when debugging the JavaScript could be improved."
"I wonder if, at the same price, the API component could be added, which would be beneficial."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"Lots of errors and system crashes during installation and IMHO we didn’t receive good enough technical support and guidance from Talend to solve the issues."
"The customer support is adequate, but not exceptional."
"The support team is slow to respond when we need assistance with workflow deployments. We must rely on their availability and contact them to receive the required JAR files."
"There are many issues. For example, sometimes, errors related to tokenization occur while creating a match rule."
"We need manual data modeling and configuration to tailor the platform to our requirements."
"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."
"Reltio Cloud can be improved by providing the possibility to connect with other connectors and databases such as Snowflake, Databricks, and eventually with Azure Data Factory."
"The deployment is difficult."
"What could be improved about Reltio Cloud was minimal."
 

Pricing and Cost Advice

"It's a subscription-based platform, we renew it every year."
"License renewal is on a yearly basis."
"The solution's pricing is very reasonable and half the cost of Informatica."
"The licensing cost is about 40,000 Euros a year."
"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 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 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."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
11%
Construction Company
8%
Manufacturing Company
12%
Financial Services Firm
11%
Outsourcing Company
9%
Computer Software Company
8%
 

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: September 2026.
914,322 professionals have used our research since 2012.