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Talend Open Studio vs dbt 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

dbt
Ranking in Data Integration
33rd
Average Rating
7.6
Reviews Sentiment
7.4
Number of Reviews
2
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
Cloud Data Integration (5th)
 

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of dbt is 2.1%, up from 0.1% compared to the previous year. The mindshare of Talend Open Studio is 4.3%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Ninad Magdum - PeerSpot reviewer
Developer-friendly and easy to use, but doesn't have many optimization options
We also use stored procedures and Talend. They are not replaced by dbt completely. We use dbt only for the transformation process. My recommendations would depend on an organization’s requirements and problems. I will recommend the tool to others. The product is developer-friendly. However, it is still dependent on the data warehouse for big data and optimization. It's just a SQL transformation tool. It doesn't have a lot of optimization options like Spark. It's a good tool for Snowflake. If it were only for Snowflake, I would have rated it an eight out of ten. However, there are other data platforms. Overall, I rate the tool a six and a half out of ten.
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

"The product is developer-friendly."
"The solution's technical support is responsive and helpful."
"The most interesting aspect of the solution for us is that Talend Open Studio has a good balance between the features and the cost of the data management platform."
"The main differentiator that I have seen between Talend and other data integration tools is the ability to view the data pipeline in the form of a program."
"Stability feels fine."
"We're sold on the customization part of the solution."
"This product is very easy to use."
"Talend is significantly easier to use."
"This solution has improved our overall time to value for data ingestion."
 

Cons

"The solution must add more Python-based implementations."
"I rate Talend Open Studio's stability an eight out of ten. Talend has some problems sometimes."
"I think my biggest problem with the tool is that the errors are very hard to debug."
"It is not as visually appealing as some of the other tools."
"There used to be many Youtube channels that offered Talend training, but now there don't seem to be any. The solution should offer more online training resources."
"The solution should offer better integration with other products."
"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."
"It gets the job done but it's a bit slow."
"There is a need for mastery in some areas."
 

Pricing and Cost Advice

"The solution’s pricing is affordable."
"Pricing is always a challenge. It is quite an expensive model, but because the platform is so simple to use, we haven't had to purchase any additional licenses."
"Right now, because we're using the open-source version, there's no cost."
"There are many versions available and one is open-sourced which is free."
"The cost for one year for the ETL tools, not for the big data, is 6K per year. It is a good price."
"We are using the free version of the tool, because the enterprise version is a little expensive."
"It does the job well for nothing — without cost. That's the advantage of this product."
"I am using the open-source version of the solution, so there are no extra costs for any feature."
"I am using the open-source version and it is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Insurance Company
12%
Computer Software Company
6%
Retailer
6%
Financial Services Firm
16%
Computer Software Company
12%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for dbt?
It is cheap because dbt is open source. If you compare the pay-per-service of Dbt with the open source option you can manage. We are managing the solution, when we were acquiring service from them....
What needs improvement with dbt?
SQL statements that beyond DML, are not possible. Currently, they are not possible in Dbt. Having more features in SQL statements will support us. Another issue is the terms of data ingestion becau...
What is your primary use case for dbt?
We use the solution to deal with data transformations inside different organizations.
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...
 

Comparisons

 

Also Known As

No data available
Open Studio
 

Overview

 

Sample Customers

Information Not Available
Almerys, BF&M, Findus
Find out what your peers are saying about Talend Open Studio vs. dbt and other solutions. Updated: July 2025.
865,295 professionals have used our research since 2012.