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Qlik Talend Cloud vs Talend Data Fabric 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 Data Integration
7th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
Talend Data Fabric
Ranking in Data Integration
33rd
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Qlik Talend Cloud is 2.4%, up from 2.0% compared to the previous year. The mindshare of Talend Data Fabric is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud2.4%
Talend Data Fabric0.8%
Other96.8%
Data Integration
 

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.
Salini Ravindranath - PeerSpot reviewer
Solution Architect at Spire Solutions
Data governance has improved and complex integrations are handled with flexible customization
Regarding Talend Data Fabric, the ease of use and the customization options that are available are particularly valuable. There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready. Talend Data Catalog is another product that, when combined with Talend Data Fabric, can be used for the data governance. The stewardship, ownership, and curation happen mainly from the Data Catalog side. Within Talend Data Fabric, the role-based access control is used for user segregations such as security, infrastructure-related or integration-related activities. It bifurcates the roles and responsibilities. From the data standpoint, the RBAC functions with the help of Data Catalog.

Quotes from Members

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

Pros

"Talend's most valuable feature is its ability to generate code and packages efficiently."
"The solution is customizable."
"The availability of connectors is great."
"The basic tools are easy to pick up and understand."
"The Studio is easy to understand."
"The most valuable feature is the data loading and scripting language"
"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."
"Maybe the best thing is the product's easy start-up level when you are familiar with Java."
"We've had no issues with the stability so far."
"The Talend data integration has been one of the most valuable features."
"Talend has very good support for big data."
"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."
"What I find most valuable about this solution is the 900 connectors because it allows me to integrate any tool and any cloud system I need to integrate and they have a connector out of the box."
"The initial setup is very easy."
"From my experience around Business Intelligence for data and analytics for around twenty-something years, I can say that what I appreciate about Talend Data Fabric is that we can connect sources to everything and be able to customize everything."
"There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready."
 

Cons

"As it is a open source tool, some minor bugs are there."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
"The biggest challenge with Talend was its performance."
"SQL for displaying underlying data in non-match results does not work."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"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."
"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."
"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."
"Deployment can be difficult, but I didn't test the latest version yet."
"I would like to see better integration with other tools because every tool waiting for approval in terms of leveraging machine learning takes a long time."
"The downside, however, is indeed the pricing, which has been the biggest challenge; since it went to Click, there is no longer a free license version such as Talend Open Studio, so either you pay or you do not have anything."
"I would like to see better integration with other tools."
"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."
"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."
"Support is something that drives me crazy these days."
 

Pricing and Cost Advice

"The licensing cost is about 40,000 Euros a year."
"I have been using the open-source version."
"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."
"License renewal is on a yearly basis."
"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 product pricing is considered very good, especially compared to other data integration tools in the market."
"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."
"There are no additional licensing fees when you scale"
"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Comms Service Provider
10%
Construction Company
9%
Outsourcing Company
8%
Comms Service Provider
13%
Manufacturing Company
8%
Computer Software Company
8%
Financial Services Firm
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 Business5
Midsize Enterprise1
Large Enterprise3
 

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 Talend Data Fabric?
One thing I found missing was integrations with SAP systems. We have extensively implemented one complex SAP project with Talend Data Fabric. At the same time, there were some complexities there, a...
What is your primary use case for Talend Data Fabric?
We are involved with multiple vendors, including Talend, Alteryx, and Informatica in the data management and governance space. In the classification and governance area, we use BigID, Spirion, and ...
What advice do you have for others considering Talend Data Fabric?
Initially, we were majorly using on-premise solutions and then we have moved into cloud deployments. It depends on the client and their requirement, whether they would want to go ahead with an on-p...
 

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
Information Not Available
Find out what your peers are saying about Qlik Talend Cloud vs. Talend Data Fabric and other solutions. Updated: August 2026.
908,834 professionals have used our research since 2012.