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CloverETL 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

CloverETL
Ranking in Data Integration
60th
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Visualization (34th)
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)
 

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of CloverETL is 0.8%, up from 0.4% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.4%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud2.4%
CloverETL0.8%
Other96.8%
Data Integration
 

Featured Reviews

it_user856614 - PeerSpot reviewer
Lead Programmer at a healthcare company with 10,001+ employees
Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation
Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…
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

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"Familiar, intuitive GUI coming from a Java development background, in-depth, descriptive, and well-laid-out documentation, responsive support through forums directly from Clover staff, a wealth of customizable pre-defined components, descriptive logging for error messages, and ease of install with a light footprint make it very effective to use."
"We switched to CloverETL because of its flexibility to connect to various data sources and no dependence on native language and ease of use."
"No dependence on native language and ease of use.​​"
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"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 solution can run on any machine and that is a big advantage."
"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."
"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."
"It has definitely streamlined certain processes.​"
"The most valuable features of the Talend Data Management Platform are the components."
"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."
"Talend Data Integration has positively impacted my organization because it is used for master management data, which I think most other components lack, but Talend Data Integration has that capability for using master management data as standard data."
 

Cons

"Needs easier automated failure recovery, more and more intuitive auto-generated or filled-in code for components, and easier or more automated sync between CloverETL Designer and CloverETL Server."
"Its documentation could be improved.​"
"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier."
"Sometimes when working with larger datasets (possibly due to insufficient memory)."
"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."
"For us in New Zealand, it is quite expensive."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"The sales and market department could improve the Talend Data Management Platform."
"There are no natural connections for some of the applications that I use more regularly."
"I encountered scalability issues."
 

Pricing and Cost Advice

Information not available
"I have been using the open-source version."
"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 solution's pricing is very reasonable and half the cost of Informatica."
"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."
"It's a subscription-based platform, we renew it every year."
"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 product pricing is considered very good, especially compared to other data integration tools in the market."
"The licensing cost is about 40,000 Euros a year."
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Top Industries

By visitors reading reviews
Construction Company
26%
Comms Service Provider
13%
Manufacturing Company
13%
Computer Software Company
7%
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

Ask a question
Earn 20 points
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

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about CloverETL vs. Qlik Talend Cloud and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.