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CloverETL vs Talend Open Studio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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 (40th)
Talend Open Studio
Ranking in Data Integration
5th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
50
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of CloverETL is 0.2%, up from 0.1% compared to the previous year. The mindshare of Talend Open Studio is 4.4%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

it_user856614 - PeerSpot reviewer
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…
Costin Marzea - PeerSpot reviewer
Allows you to develop your own components and can be used as an OEM
Sometimes, scalability is part of planning. It depends on what you mean by scalability. People talk a lot about it, but scalability is not always about system functionality. Sometimes, it may be planning the job you're doing. If you want to split it into several jobs or servers, you don't actually have to have it built in as a functionality. You can create a job using a loop, which runs and controls several jobs in a loop that may be controlled. Scaling should not always be part of the infrastructure based on whether the engine can scale or not. I think it's your plan or project that should scale and split, and you can define these parameters. These parameters include how many servers you want to run or how many executions you want to do on different parts of the data. It's not always an issue of the engine running. Sometimes, your database should be configured to support partitioning. The product may scale very well without partitioning, but if the basic response is very slow, you didn't solve the problem. You should solve the problems at a higher level, not just at the execution level. They should be solved at the database level and communication level, and you should have firewalls. We are trying to add to the open source the ability to generate code for containers and Kubernetes that exist in the subscription version. Once you do this, Kubernetes will take care of the scaling, so there is no problem.

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."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"No dependence on native language and ease of use.​​"
"The solution's technical support is responsive and helpful."
"The API integration and big data approach are very good because of how you extract data from JSP files or big data web repositories like MongoDB."
"We're sold on the customization part of the solution."
"It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source is very good. They have the same commercials with additional connectors. The graphical design environment is also very easy."
"This solution has improved our overall time to value for data ingestion."
"The rapidity of integration with data may be one of the valuable features."
"The most valuable features are the ETL tools."
"There are many architectures: hybrid, cloud, and on-prem."
 

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/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."
"In version 6.2 we did encounter issues with the job servers and specifically with ESB. Version 6.3 is better but large jobs can cause the MDM server to fall over, requiring a reboot."
"I think my biggest problem with the tool is that the errors are very hard to debug."
"It needs better installation configuration for other databases. Although the installation allows you to select another database, this doesn't mean that all connection points in the application point to the database selected. You actually need to do a search through the entire install to locate the configuration settings and change them."
"The security features could be improved."
"The price for Talend Data Integration should be less expensive."
"The profiling perspective needs improvement. Instead of using it in the studio, we are using a different tool which is also provided by Talend. It's redundant."
"It is complicated to understand the configuration process for email components."
"The only other thing is that you have to integrate into an API gateway. We're in Azure, so we use Microsoft Azure Gateway. It doesn't come with its own gateway, which is another sort of big plus side that we saw in Boomi. Talend isn't quite there yet with the API gateway."
 

Pricing and Cost Advice

Information not available
"The cost, particularly in Africa, is quite high."
"It is an open-source tool which means it is a free solution."
"We are using the free version of the tool, because the enterprise version is a little expensive."
"It is an open-source product."
"Right now, because we're using the open-source version, there's no cost."
"Talend is free and you can download it."
"I am using the open-source version of the solution, so there are no extra costs for any feature."
"The solution will be more expensive if you have a low data volume and a large number of developers."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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How does Talend Open Studio compare with AWS Glue?
We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...
What do you like most about Talend Open Studio?
It is easy to use and covers most of the functions needed. We can use the code without any extra effort. The open source is very good. They have the same commercials with additional connectors. The...
 

Also Known As

No data available
Open Studio
 

Overview

 

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
Almerys, BF&M, Findus
Find out what your peers are saying about CloverETL vs. Talend Open Studio and other solutions. Updated: May 2025.
860,592 professionals have used our research since 2012.