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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 (8th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (2nd), Cloud Data Integration (7th), Data Governance (9th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (7th)
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 (14th), AI Customer Experience Personalization (20th)
 

Mindshare comparison

As of October 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Qlik Talend Cloud is 7.6%, up from 5.9% compared to the previous year. The mindshare of Reltio Cloud is 8.9%, down from 16.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.6%
Reltio Cloud8.9%
Other83.5%
Cloud Master Data Management (MDM)
 

Featured Reviews

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.
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

"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."
"You move data from one source to another without problem and apply some business rules in data."
"The process of upgrading the software is quite easy."
"tLogRows are also great for finding bad data."
"Better control and flexibility to add/custom define features, to tailor to your needs by modifying its Java generated code."
"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."
"The most valuable feature is the data loading and scripting language"
"The solution is customizable."
"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."
"Reltio Cloud has positively impacted my organization because we were able to promote our data and sell data to our customers."
"Its user interface is different from that of other MDM solutions like Informatica"
"Reltio Cloud offers advantages over competitors, including a dashboard with a good amount of detail that looks significantly better than Informatica or Stibo."
"Reltio Cloud has positively impacted my organization by reducing the amount of manual effort needed and making it easy to manage downstream systems."
"It is a scalable product, and the scalability is good. We can configure users."
"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."
"The solution saves 30% to 40% of our time."
 

Cons

"The solution's memory sometimes bottlenecks and that can be challenging."
"I wonder if, at the same price, the API component could be added, which would be beneficial."
"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."
"They lack in memory capacity."
"As it is a open source tool, some minor bugs are there."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."
"The customer support is adequate, but not exceptional."
"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 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."
"The deployment is difficult."
"AI features should be introduced in Reltio more."
"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."
"Ultimately, technical complexity emerges as the primary challenge we face, revealing opportunities for improvement."
"There are many issues. For example, sometimes, errors related to tokenization occur while creating a match rule."
 

Pricing and Cost Advice

"The solution's pricing is very reasonable and half the cost of Informatica."
"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."
"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."
"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."
"It's a subscription-based platform, we renew it every year."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
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
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: September 2026.
917,433 professionals have used our research since 2012.