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CloverETL vs Qlik Talend Cloud 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

CloverETL
Ranking in Data Integration
58th
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Visualization (35th)
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 August 2026, in the Data Integration category, the mindshare of CloverETL is 0.8%, up from 0.3% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.4%, up from 2.0% 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

"We switched to CloverETL because of its flexibility to connect to various data sources and no dependence on native language and ease of use."
"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."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"No dependence on native language and ease of use.​​"
"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"We’re also able to respond much more quickly to changes and demands from the business, as we can create and change jobs quickly and provide new data for reports within hours."
"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."
"Better control and flexibility to add/custom define features, to tailor to your needs by modifying its Java generated code."
"Coming into the department with no knowledge of Talend, the interface has been user-friendly enough to allow me to come up to speed in four to five months on almost all its functions and use it like a pro."
"The availability of connectors is great."
"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"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."
 

Cons

"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"Its documentation could be improved.​"
"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."
"Lots of errors and system crashes during installation and IMHO we didn’t receive good enough technical support and guidance from Talend to solve the issues."
"With M rows, it runs too slowly and has memory issues."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"The product's setup process could be simpler."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"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 stability for Talend Data Quality can be rated around an 8; it is quite stable."
"The solution's memory sometimes bottlenecks and that can be challenging."
 

Pricing and Cost Advice

Information not available
"License renewal is on a yearly basis."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"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 have been using the open-source version."
"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's a subscription-based platform, we renew it every year."
"The licensing cost is about 40,000 Euros a year."
"The solution's pricing is very reasonable and half the cost of Informatica."
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Top Industries

By visitors reading reviews
Construction Company
26%
Manufacturing Company
12%
Comms Service Provider
9%
Computer Software Company
9%
Financial Services Firm
15%
Comms Service Provider
10%
Construction Company
9%
Outsourcing 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: August 2026.
909,725 professionals have used our research since 2012.