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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 June 2025, in the Data Integration category, the mindshare of Azure Data Factory is 8.4%, down from 12.3% 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

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 function of the solution is great."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"The solution is okay."
"A very user friendly solution."
"The Talend Studio connected to the Talend MDM (Master Data Management) is the most valuable feature. Talend Studio is used to create a job stream that connects to multiple data sources, matches, compares or creates a golden record for overall identification. It also has a good catalogue of objects that can be dragged and dropped for building models."
"The most valuable features are the ETL tools."
"We're sold on the customization part of the solution."
"Talend Open Studio is easy to create jobs. We use the basic functionality and it is very good."
"The most valuable features are definitely data integration, data preparation, and data stewardship."
"You can use Talend SDK to develop your own components and add them to the product."
"Stability feels fine."
 

Cons

"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The support and the documentation can be improved."
"The one element of the solution that we have used and could be improved is the user interface."
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"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."
"There is a need for mastery in some areas."
"I rate Talend Open Studio's stability an eight out of ten. Talend has some problems sometimes."
"It is not as visually appealing as some of the other tools."
"It doesn't have the ability to keep the repository of the source code (visual pipeline). It can be integrated with Git."
"The user interface could be made simpler."
"The product could be more intuitive."
"The physical appearance of the product is an area of concern where improvements are required."
 

Pricing and Cost Advice

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"It's not particularly expensive."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"The price is fair."
"I don't see a cost; it appears to be included in general support."
"Data Factory is expensive."
"Pricing is comparable, it's somewhere in the middle."
"The solution will be more expensive if you have a low data volume and a large number of developers."
"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."
"Talend Open Studio is priced too high."
"I am using the open-source version of the solution, so there are no extra costs for any feature."
"The cost for one year for the ETL tools, not for the big data, is 6K per year. It is a good price."
"Talend Open Studio costs about 11,000 a year."
"The cost, particularly in Africa, is quite high."
"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."
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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
16%
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.
856,873 professionals have used our research since 2012.