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Azure Data Factory vs Talend Open Studio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 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
89
Ranking in other categories
Cloud Data Warehouse (3rd)
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 January 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.8%, down from 13.4% compared to the previous year. The mindshare of Talend Open Studio is 5.8%, down from 6.2% 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.
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

"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"I like the basic features like the data-based pipelines."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The solution can scale very easily."
"The data flows were beneficial, allowing us to perform multiple transformations."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"I didn't have many problems installing it. It seemed very straightforward to me."
"The initial setup of the product was very easy."
"I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields. It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool."
"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."
"Talend Studio has the ability to use it to ensure data quality."
"The rapidity of integration with data may be one of the valuable features."
"The most valuable features of Talend Open Studio are customization and integration."
"It is user-friendly and the interface is good."
 

Cons

"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"The solution needs to be more connectable to its own services."
"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."
"The pricing model should be more transparent and available online."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"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."
"We need more components to be more efficient. We use a lot of components, such as Salesforce, and it's not easy to use. There's are minor bugs and it's not easy to use some of the features."
"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."
"In the next release, Open Studio should include cloud storage as an input."
"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."
"The profiling perspective needs improvement. Instead of using it in the studio, we are using a different tool which is also provided by Talend. It's redundant."
"When faced with a challenge, such as the necessity to link up with an unconventional data source like the legacy Cyprus Vision database that wasn't inherently supported by Talend, I had to resort to writing Python code to establish the connection."
"Talend Open Studio is in Java language, and right now, you can only use the debug functionality in Java. I see that people who know programming languages other than Java currently face difficulties."
"The documentation is lacking within the product. They need to get better at all aspects of describing how it works and how to use it."
 

Pricing and Cost Advice

"The price you pay is determined by how much you use it."
"ADF is cheaper compared to AWS."
"Understanding the pricing model for Data Factory is quite complex."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"The licensing cost is included in the Synapse."
"I would not say that this product is overly expensive."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"The cost, particularly in Africa, is quite high."
"Right now, because we're using the open-source version, there's no cost."
"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."
"We are using the free version of the tool, because the enterprise version is a little expensive."
"Talend Open Studio costs about 11,000 a year."
"Price could be lower. It is getting too expensive when compared to some other solutions, which is actually a little bit concerning."
"It is an open-source tool which means it is a free solution."
"It is an open-source product."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
16%
Computer Software Company
15%
Manufacturing Company
8%
Government
8%
 

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
 

Learn More

 

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: January 2025.
831,158 professionals have used our research since 2012.