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Qlik Talend Cloud vs Stibo STEP MDM 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)
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)
Stibo STEP MDM
Ranking in Cloud Master Data Management (MDM)
8th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Qlik Talend Cloud is 7.7%, up from 4.9% compared to the previous year. The mindshare of Stibo STEP MDM is 5.4%, down from 8.3% 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%
Stibo STEP MDM5.4%
Other86.9%
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.
RahulSoni - PeerSpot reviewer
Senior Delivery Architect at Capgemini
Modular design, product-based MDM and easy to setup
Stibo is a great product if you want to utilize it in product-based MDM. Customer-base, they are still growing, but product-base is fine because every single time you have to create hierarchies in the product and not care about all the other stuff. But the major thing is the hierarchy, at which particular type that product is and what that product does, how it looks, what is the catalog, what are the relationships with other stuff. So, from that note, Stibo is great. Around 20 to 25 people were there when I was on a particular project. I knew around 20 to 25 people who knew Stibo MDM and were part of it.

Quotes from Members

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

Pros

"The best features Qlik Talend Cloud offers include the fact that it is built on Java, which gives me the chance to customize my requirements and write my own Java code to achieve my logic."
"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."
"Talend is user-friendly and has many components and connectors, which makes it a great choice."
"The Studio is easy to understand."
"It meets our operational and analytical data integration needs by providing us with a high performing set of tools to access, transform and integrate data in real time."
"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."
"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."
"Maybe the best thing is the product's easy start-up level when you are familiar with Java."
"Data profiling allows us to recognize values from our upstream applications. It helps us place limits on the creation of new data domains to organize the ecosystem. The golden record, crucial for downstream applications, ensures data integrity and consistency."
"It's very user friendly, and we can do everything in one place."
"It's powerful and it's stable."
"The second feature I love is its modular design, where you can create a certain number of entities and create hierarchical entities."
"The solution is very feature-rich out of the box, it's highly customizable and configurable, and the way you can build workflows and business rules is very powerful."
"The match engine and the BPM solution are very good and are satisfying us right now."
 

Cons

"The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell."
"The sales and market department could improve the Talend Data Management Platform."
"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 encountered scalability issues."
"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."
"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."
"Once you get past the basic tools, it gets pretty complicated."
"The customer service and support were a little adamant about giving workarounds rather than accepting that something was not working correctly."
"There is scope for improvement with regard to the UI. Also, some options that are used regularly should be on the front page so that the user does not have to dig deep to find them."
"The analytics module can be improved. It is a self-service solution for creating new reports and submitting visions to bring more data to the CEO table."
"The search feature for searching internal records could be improved."
"There is scope for improvement with regard to the UI."
"It took three or four times the amount of time we expected it to."
"The initial setup is complex."
"In terms of stability, integration using APIs is not that stable. We are having some problems with its ability to integrate with the platform through APIs."
 

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."
"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."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"The licensing cost is about 40,000 Euros a year."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"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."
"License renewal is on a yearly basis."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Comms Service Provider
9%
Construction Company
9%
Outsourcing Company
8%
Manufacturing Company
14%
Retailer
13%
Financial Services Firm
10%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
No data available
 

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 Stibo STEP MDM?
Stibo needs to make it way much more efficient in the integration of the data. When you insert data, if you're not utilizing StepXML, the data load will take a lot of time. They can utilize direct ...
What advice do you have for others considering Stibo STEP MDM?
You have to first see that certain things can be done very efficiently, but you'll end up doing a long process with a bulky user experience. It's not easy to learn, but it's not complicated either....
 

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
Sears Canada, Best Buy, Oriental Trading
Find out what your peers are saying about Qlik Talend Cloud vs. Stibo STEP MDM and other solutions. Updated: June 2026.
908,858 professionals have used our research since 2012.