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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
37th
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
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of dbt is 1.8%, up from 0.0% compared to the previous year. The mindshare of Talend Open Studio is 4.7%, 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."
"Talend is significantly easier to use."
"The initial setup was quite straightforward. The deployment took between two and three days."
"You can use Talend as a stand-alone application without customization to collect data and generate reports over dashboards. It's got great functionality."
"The solution has a good balance between automated items and the ability for a developer to integrate and extend what he needs. Other competing tools do not offer the same grade of flexibility when you need to go beyond what is provided by the tool. Talend, on the other hand, allows you to expand very easily."
"The product's initial setup phase was easy."
"There are many architectures: hybrid, cloud, and on-prem."
"Talend lets you do everything — mapping, workflow, and orchestration — in a single place."
"It's a good tool. It has the ability to take apart and install whatever we need. It's very good for data, transformation, and loading."
 

Cons

"The solution must add more Python-based implementations."
"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."
"The documentation is lacking within the product. They need to get better at all aspects of describing how it works and how to use it."
"In terms of what can be improved, the scheduling is not there in the sister version, while it is there in the cloud one, which is a paid version. If all kinds of scheduling could be available on the Open Studio that we generally use and practice on, that would be great. The scheduling of the data migration is currently not available in the sister version of Talend Open Studio that we are working on. It is available in the advanced version of the Talend. This is the one thing that can be improvised."
"Technical support and customer service need to be improved."
"It is complicated to understand the configuration process for email components."
"The technical support and documentation need a lot of work to come up to standard."
"Talend Open Studio's interface does not provide a good experience...I would like to see better documentation and a more enhanced graphical interface in Talend Open Studio."
"The price for Talend Data Integration should be less expensive."
 

Pricing and Cost Advice

"The solution’s pricing is affordable."
"The solution will be more expensive if you have a low data volume and a large number of developers."
"The cost for one year for the ETL tools, not for the big data, is 6K per year. It is a good price."
"Open Studio has a basic license and additional costs for services, including customer support and technical assistance."
"Talend Open Studio is priced too high."
"It is an open-source product."
"The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
"Talend is free and you can download it."
"There are many versions available and one is open-sourced which is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Insurance Company
12%
Healthcare Company
7%
Computer Software Company
6%
Financial Services Firm
16%
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

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...
 

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: June 2025.
856,873 professionals have used our research since 2012.