Try our new research platform with insights from 80,000+ expert users

Azure Data Factory vs Talend Open Studio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 8, 2024
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (3rd)
Talend Open Studio
Ranking in Data Integration
5th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
50
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.1%, down from 13.3% compared to the previous year. The mindshare of Talend Open Studio is 5.8%, down from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Thulani David Mngadi - PeerSpot reviewer
Data flow feature is valuable for data transformation tasks
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.
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

"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The solution can scale very easily."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"The initial setup is very quick and easy."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"It is user-friendly and the interface is good."
"Open Studio's best features are that it's user-friendly, even for beginners, and very easy to implement."
"The best thing I have found with Talend Open Studio is their major support for the lookups."
"The main differentiator that I have seen between Talend and other data integration tools is the ability to view the data pipeline in the form of a program."
"The most valuable features are definitely data integration, data preparation, and data stewardship."
"Talend Open Studio's installation process is easy. One just needs to install Java before installing the product"
"The standout feature for me is the user-friendly nature of the components."
"The initial setup was quite straightforward. The deployment took between two and three days."
 

Cons

"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."
"The setup and configuration process could be simplified."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"Azure Data Factory's pricing in terms of utilization could be improved."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"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."
"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."
"The pricing could be lower. They should work to make it more affordable."
"Talent consumes a lot of resources on my PC."
"Inter-version compatibility is a problem, and migration projects between versions are required."
"As for improvement or additional features, I would like to know how to use Java in Talend and also how to use Talend in the cloud or in big data. I would prefer to have storage directly on Talend."
"he overall marketing and documentation of this product need to improve a lot."
"It doesn't have the ability to keep the repository of the source code (visual pipeline). It can be integrated with Git."
 

Pricing and Cost Advice

"The price you pay is determined by how much you use it."
"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."
"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."
"Understanding the pricing model for Data Factory is quite complex."
"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."
"The price is fair."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Talend Open Studio costs about 11,000 a year."
"It is an open-source product."
"It is an open-source tool which means it is a free solution."
"I am using the open-source version and it is free."
"Open Studio has a basic license and additional costs for services, including customer support and technical assistance."
"The solution will be more expensive if you have a low data volume and a large number of developers."
"I am using the open-source version of the solution, so there are no extra costs for any feature."
"The paid version of this solution has a very high price, but even with the limitations, the Community version works fine."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Computer Software Company
15%
Financial Services Firm
15%
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...
What is your experience regarding pricing and costs for Talend Open Studio?
The solution's pricing depends on the case. In the past, the pricing was based on the number of users and not on the data volumes or the number of CPUs, like other products. From this perspective, ...
 

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: October 2024.
816,406 professionals have used our research since 2012.