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Profisee 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

Profisee
Ranking in Cloud Master Data Management (MDM)
9th
Average Rating
8.0
Reviews Sentiment
8.4
Number of Reviews
5
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 (3rd), Cloud Data Integration (6th), Data Governance (9th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of September 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Profisee is 6.3%, down from 8.0% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.7%, up from 5.8% 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%
Profisee6.3%
Other86.0%
Cloud Master Data Management (MDM)
 

Featured Reviews

reviewer2584719 - PeerSpot reviewer
MDM Lead at a financial services firm with 5,001-10,000 employees
Unlocks efficient data mastering with custom interfaces and upcoming integrations
We use Profisee for mastering data between multiple systems like ERP and CRM within our company The product helps us by allowing us to bring data in from any system that we need, master it, and deliver clean records for data and analytics. Profisee's ability to master data using the Goldstein…
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.

Quotes from Members

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

Pros

"The product is able to utilize the SQL server toolkit and it has tight integration with the SQL server."
"We really like the matching and merging features."
"The most valuable features for ensuring data accuracy and quality are mappings and creating business rules."
"The process of categorizing data, creating glossaries, and generating metadata is streamlined and less time-consuming."
"Profisee's customer service is very responsive, and they have a comprehensive training academy, Profisee Academy, that helps guide the implementation process."
"Profisee is an all-in-one tool; all you need to do is plug in your data points from various data sources and you are good to go."
"The client is doing really well; in fact, they've been published in several IT magazines for their efforts, and also for their data cleansing efforts and their data stewardship."
"Talend is user-friendly and has many components and connectors, which makes it a great choice."
"The solution is very user-friendly and easy to understand."
"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."
"I would definitely recommend others to implement this product as it is really helpful, easy to learn, user friendly, provides lot of enhanced features, etc."
"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."
"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution 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."
"The primary use case is for data ingestion."
 

Cons

"A more convenient approach would involve integrating all the pre-existing elements into Profisee itself."
"The way training is laid out in their Profisee University, makes it really, really hard to find what you need fast."
"When we updated to version 7.1, there were some workflow issues."
"Profisee could improve in providing clearer data lineage information."
"Some security complexities might add time to the setup."
"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."
"Qlik Talend Cloud is doing well, but one improvement could be the integration of development functionalities we use in Talend Studio directly onto the Talend browser."
"Sometimes when working with larger datasets (possibly due to insufficient memory)."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."
"The ability to change the code when debugging the JavaScript could be improved."
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
 

Pricing and Cost Advice

"We didn't come across any additional licensing fees."
"The pricing is moderate, falling in the middle range—not excessively low nor overly expensive."
"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 tool is cheap."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"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."
"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 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."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Healthcare Company
10%
Financial Services Firm
9%
Computer Software Company
8%
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
10%
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

What needs improvement with Profisee?
Profisee is making improvements for the year 2024, including integrating directly with other solutions.
What is your primary use case for Profisee?
We use Profisee for mastering data between multiple systems like ERP and CRM within our company.
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

No data available
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

NASDAQ, Rockwell Automation, ITT Industries, EY (Ernst & Young), Domino's, L3 Communications, Anheuser Busch, MD Anderson Cancer Center, Ameriprise Financial, GSO Capital Partners
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Profisee vs. Qlik Talend Cloud and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.