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Azure Data Factory vs Talend Data Fabric comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
90
Ranking in other categories
Cloud Data Warehouse (3rd)
Talend Data Fabric
Ranking in Data Integration
28th
Average Rating
8.4
Reviews Sentiment
7.3
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Azure Data Factory is 9.5%, down from 12.7% compared to the previous year. The mindshare of Talend Data Fabric is 1.2%, down from 1.3% 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.
KrishnaBaddam - PeerSpot reviewer
Supports API integrations and enables users to handle data management
Informatica is a well-established product known for its stability. Hardware and configuration can affect its performance, and it's not a lightweight tool that will fail quickly. When purchasing Informatica, you have options based on your needs. A simple data ingestion or integration license is relatively affordable, but the full Data Fabric suite is expensive. The Data Fabric suite includes integration, data quality, API management, big data processing, and real-time capabilities. For those who don't need the entire suite, purchasing individual components, such as data integration or data quality, it is a more cost-effective option. These individual licenses are generally less expensive than the complete Data Fabric suite, offering a more flexible and budget-friendly choice than Informatica's flagship.

Quotes from Members

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

Pros

"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."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"The solution has a good interface and the integration with GitHub is very useful."
"Its integrability with the rest of the activities on Azure is most valuable."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"Data Factory's most valuable feature is Copy Activity."
"The initial setup is very easy."
"The Talend data integration has been one of the most valuable features."
"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."
"Everything in Talend Data Fabric is GUI-based, making it very user-friendly and easy to learn quickly."
"We've had no issues with the stability so far."
"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."
 

Cons

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"Data Factory's cost is too high."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"There aren't many third-party extensions or plugins available in the solution."
"When we initiated the cluster, it took some time to start the process."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"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."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."
"I would like to see better integration with other tools."
"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."
"The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."
"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."
"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."
 

Pricing and Cost Advice

"The pricing model is based on usage and is not cheap."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"Pricing is comparable, it's somewhere in the middle."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"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."
"The price you pay is determined by how much you use it."
"I would not say that this product is overly expensive."
"ADF is cheaper compared to AWS."
"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."
"There are no additional licensing fees when you scale"
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
20%
Computer Software Company
12%
Educational Organization
8%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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...
What needs improvement with Talend Data Fabric?
Data governance is still not mature. There is not much documentation available for it, and the maturity of the product does not meet my expectations. Master Data Management has been decommissioned,...
What is your primary use case for Talend Data Fabric?
The main use cases for Talend Data Fabric include setting up a data lake to enable the data platform.
 

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
Information Not Available
Find out what your peers are saying about Azure Data Factory vs. Talend Data Fabric and other solutions. Updated: April 2025.
845,589 professionals have used our research since 2012.