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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

"I am one hundred percent happy with the stability."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"The best part of this product is the extraction, transformation, and load."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"I like the basic features like the data-based pipelines."
"A very user friendly solution."
"Stability feels fine."
"We're sold on the customization part of the solution."
"Talend Studio has the ability to use it to ensure data quality."
"The most valuable feature of Talend Open Studio is the tMap component. There is a lot of functionality in one component."
"Talend Open Studio's installation process is easy. One just needs to install Java before installing the product"
"It has got so many connectors. It is intuitive and easy to use."
"There are many architectures: hybrid, cloud, and on-prem."
 

Cons

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"Real-time replication is required, and this is not a simple task."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"When we initiated the cluster, it took some time to start the process."
"The pricing scheme is very complex and difficult to understand."
"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."
"Having additional training materials, such as a video tutorial, would be an improvement."
"The technical support and documentation need a lot of work to come up to standard."
"The solution should offer better integration with other products."
"The pricing could be lower. They should work to make it more affordable."
"The server-side should be completely revamped."
"I rate Talend Open Studio's stability an eight out of ten. Talend has some problems sometimes."
"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."
 

Pricing and Cost Advice

"Our licensing fees are approximately 15,000 ($150 USD) per month."
"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."
"The cost is based on the amount of data sets that we are ingesting."
"I don't see a cost; it appears to be included in general support."
"The pricing is a bit on the higher end."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"The price is fair."
"Pricing is comparable, it's somewhere in the middle."
"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."
"There are many versions available and one is open-sourced which is free."
"Talend Open Studio is priced too high."
"It does the job well for nothing — without cost. That's the advantage of this product."
"Pricing and licensing are fairly straightforward. It is reasonably priced and managed."
"It is an open-source product."
"We are using the free version of the tool, because the enterprise version is a little expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
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.
860,632 professionals have used our research since 2012.