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Azure Data Factory vs Talend Open Studio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 2025

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

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Cloud Data Warehouse (2nd)
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 Azure Data Factory is 7.9%, down from 12.2% 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

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
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 most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"The overall performance is quite good."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"We have been using drivers to connect to various data sets and consume data."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"It is a complete ETL Solution."
"A helpful feature for us is the integration with NoSQL databases."
"The product's initial setup phase was easy."
"Talend Studio has the ability to use it to ensure data quality."
"This product is very easy to use."
"You can use Talend as a stand-alone application without customization to collect data and generate reports over dashboards. It's got great functionality."
"You can use Talend SDK to develop your own components and add them to the product."
"The standout feature for me is the user-friendly nature of the components."
"The initial setup was quite straightforward. The deployment took between two and three days."
 

Cons

"The solution needs to be more connectable to its own services."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"Azure Data Factory's pricing in terms of utilization could be improved."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"The deployment should be easier."
"Lacks in-built streaming data processing."
"When we initiated the cluster, it took some time to start the process."
"When the record fails, it's tough to identify and log."
"The high price of the solution is an area of concern where improvements are required."
"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."
"It gets the job done but it's a bit slow."
"The technical support and documentation need a lot of work to come up to standard."
"Having additional training materials, such as a video tutorial, would be an improvement."
"The server-side should be completely revamped."
"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."
"There is a need for mastery in some areas."
 

Pricing and Cost Advice

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"The cost is based on the amount of data sets that we are ingesting."
"Understanding the pricing model for Data Factory is quite complex."
"The solution's pricing is competitive."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"It's not particularly expensive."
"Pricing appears to be reasonable in my opinion."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"I am using the open-source version and it 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."
"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."
"The cost, particularly in Africa, is quite high."
"It is an open-source tool which means it is a free solution."
"The solution will be more expensive if you have a low data volume and a large number of developers."
"Open Studio has a basic license and additional costs for services, including customer support and technical assistance."
"Talend is free and you can download it."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
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

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
Almerys, BF&M, Findus
Find out what your peers are saying about Azure Data Factory vs. Talend Open Studio and other solutions. Updated: June 2025.
859,687 professionals have used our research since 2012.