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CloverDX Designer vs Talend Open Studio comparison

 

Comparison Buyer's Guide

Executive Summary

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

CloverDX Designer
Ranking in Data Integration
75th
Average Rating
7.0
Reviews Sentiment
6.9
Number of Reviews
1
Ranking in other categories
No ranking in other categories
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 CloverDX Designer is 0.1%, 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

reviewer1518951 - PeerSpot reviewer
Simple, stable, and allows us to handle data from various sources, but needs enterprise features for logging, recoverability, and monitoring
If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler.
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

"Its simplicity and the way it handles graphs are the most valuable features."
"Stability feels fine."
"The initial setup of the product was very easy."
"We're able to handle large amounts of data with ease."
"We're sold on the customization part of the solution."
"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."
"It has got so many connectors. It is intuitive and easy to use."
"The solution's technical support is responsive and helpful."
"Talend is significantly easier to use."
 

Cons

"If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler."
"The solution should offer better integration with other products."
"The pricing could be lower. They should work to make it more affordable."
"Inter-version compatibility is a problem, and migration projects between versions are required."
"I would say that writing to JSON is kind of a pain. It reads from a JSON file pretty well, but writing to a JSON file is not so great because its components are not good."
"Having additional training materials, such as a video tutorial, would be an improvement."
"Talend should improve the log and error handling to better track the errors you find during development. Sometimes it's challenging to see what's causing an issue, and tracking that on Talend is complicated."
"The solution should integrate with a version control system in the subscription versions to make it easy to work with and manage the version control."
"The stability of the solution could improve when running jobs. There can be errors when running projects but in the end, it works well and the errors do not impact the result."
 

Pricing and Cost Advice

"Its price and value for money would be okay for our purpose if there were some additional features."
"I am using the open-source version of the solution, so there are no extra costs for any feature."
"It is an open-source product."
"I am using the open-source version and it is free."
"For Talend Open Studio, there is a need to make yearly payments towards the licensing cost. Talend Open Studio is a bit expensive, in my opinion."
"It is an open-source tool which means it is a free solution."
"Talend Open Studio is priced too high."
"The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
"Open Studio has a basic license and additional costs for services, including customer support and technical assistance."
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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

Allant Group, NDP, Porch, GoodData
Almerys, BF&M, Findus
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: June 2025.
860,592 professionals have used our research since 2012.