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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

"Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness."
"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."
"The best part of this product is the extraction, transformation, and load."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The data copy template is a valuable feature."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"It is a complete ETL Solution."
"The most important feature is that it can help you do the multi-threading concepts."
"The initial setup was quite straightforward. The deployment took between two and three days."
"There are many architectures: hybrid, cloud, and on-prem."
"The most valuable features are definitely data integration, data preparation, and data stewardship."
"This solution has improved our overall time to value for data ingestion."
"The drag-and-drop feature in the interface is very good."
"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."
"The most valuable features of Talend Open Studio are customization and integration."
"The rapidity of integration with data may be one of the valuable features."
 

Cons

"I do not have any notes for improvement."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"There is a problem with the integration with third-party solutions, particularly with SAP."
"The pricing model should be more transparent and available online."
"There is no built-in pipeline exit activity when encountering an error."
"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."
"I think my biggest problem with the tool is that the errors are very hard to debug."
"The solution should offer better integration with other products."
"I would say that writing to JSON is kind of a pain. It reads from a JSON file pretty well, but writing to a JSON file is not so great because its components are not good."
"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."
"he overall marketing and documentation of this product need to improve a lot."
"The solution needs more integrations."
"There is a need for mastery in some areas."
"It needs better installation configuration for other databases. Although the installation allows you to select another database, this doesn't mean that all connection points in the application point to the database selected. You actually need to do a search through the entire install to locate the configuration settings and change them."
 

Pricing and Cost Advice

"This is a cost-effective solution."
"The cost is based on the amount of data sets that we are ingesting."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"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."
"Data Factory is expensive."
"The pricing is a bit on the higher end."
"It is an open-source product."
"Right now, because we're using the open-source version, there's no cost."
"Talend is free and you can download it."
"Talend Open Studio costs about 11,000 a year."
"Open Studio has a basic license and additional costs for services, including customer support and technical assistance."
"The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
"I am using the open-source version and it is free."
"It is an open-source tool which means it is a free solution."
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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
12%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise18
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: July 2025.
866,561 professionals have used our research since 2012.