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Azure Data Factory vs Talend Open Studio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 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
6.9
Number of Reviews
92
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
Cloud Data Integration (6th)
 

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.6%, down from 11.6% compared to the previous year. The mindshare of Talend Open Studio is 3.3%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.6%
Talend Open Studio3.3%
Other91.1%
Data Integration
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
Integrates diverse data sources and streamlines ETL processes effectively
Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.
Jason Hale - PeerSpot reviewer
Intuitive interface and documentation make it simple to build jobs and APIs and logging helps pinpoint and resolve issues quickly
Talend is doing a lot of work at the moment, and it's not there yet, but the whole platform could be managed in a SaaS-type environment. You still need to have the Studio running on a virtual desktop or a PC. They will get to be able to do the whole thing inside your browser, so you don't need to install anything locally. It's down the track, and it's the nirvana that we were looking for in Boomi. But the biggest challenge they have is that the platform is so focused on the Studio for all of its development. They'll probably get there, but they have such a mature Studio client that it's a huge amount of work to get all of that functionality into a browser or SaaS platform. That's pretty much the biggest flaw with the Talend environment—being reliant on the Studio, which needed to be on a local machine. 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. Other than that, it's bloody hard to find something because it just seems to be all good.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"In terms of my personal experience, it works fine."
"It is easy to deploy workflows and schedule jobs."
"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."
"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."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"It is easy to integrate."
"The solution has a good interface and the integration with GitHub is very useful."
"Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness."
"We're able to handle large amounts of data with ease."
"The most valuable feature for me when it comes to this solution is that it's easy to use."
"Talend Open Studio is easy to create jobs. We use the basic functionality and it is very good."
"This product is very easy to use."
"This solution has improved our overall time to value for data ingestion."
"It has got so many connectors. It is intuitive and easy to use."
"We have contacted their technical support. They are great. They offer very professional help. If I need some technical answer, they are very professional. They are quick, professional, and very accurate."
"Talend is significantly easier to use."
 

Cons

"We have experienced some issues with the integration. This is an area that needs improvement."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"Real-time replication is required, and this is not a simple task."
"I do not have any notes for improvement."
"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."
"When we initiated the cluster, it took some time to start the process."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"Inter-version compatibility is a problem, and migration projects between versions are required."
"The physical appearance of the product is an area of concern where improvements are required."
"The user interface could be made simpler."
"The technical support and documentation need a lot of work to come up to standard."
"The security features could be improved."
"The pricing could be lower. They should work to make it more affordable."
"In the next release, Open Studio should include cloud storage as an input."
"The price for Talend Data Integration should be less expensive."
 

Pricing and Cost Advice

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"This is a cost-effective solution."
"ADF is cheaper compared to AWS."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"The cost is based on the amount of data sets that we are ingesting."
"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"I would not say that this product is overly expensive."
"I don't see a cost; it appears to be included in general support."
"The cost for one year for the ETL tools, not for the big data, is 6K per year. It is a good price."
"The cost, particularly in Africa, is quite high."
"The solution will be more expensive if you have a low data volume and a large number of developers."
"It is an open-source tool which means it is a free solution."
"Pricing and licensing are fairly straightforward. It is reasonably priced and managed."
"The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
"Right now, because we're using the open-source version, there's no cost."
"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
13%
Computer Software Company
12%
Manufacturing Company
9%
Government
7%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise19
Large Enterprise55
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise13
Large Enterprise17
 

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: September 2025.
867,497 professionals have used our research since 2012.