Azure Data Factory vs Talend Data Fabric comparison

Microsoft and Talend are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Talend is ranked #27 with an average rating of 9.0. Microsoft holds a 5.6% mindshare in DI, compared to Talend’s 0.9% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Talend users who would recommend it.

Azure Data Factory

Read 92 Azure Data Factory reviews

14,334 Views
10,034 Comparison Views

92% willing to recommend

Talend Data Fabric

Read 6 Talend Data Fabric reviews

1,416 Views
1,359 Comparison Views

100% willing to recommend

Azure Data Factory

Talend Data Fabric

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Azure Data Factory and Talend Data Fabric are competing products in the cloud-based data integration space. Talend Data Fabric holds an edge due to its robust feature set and perceived value despite Azure Data Factory offering competitive pricing.

Features: Azure Data Factory specializes in cloud-native integration, scalability, and streamlined data migration with minimal coding. Talend Data Fabric provides extensive data quality tools, broad integration capabilities, and support for complex data transformation needs, accommodating various data sources and formats.

Room for Improvement: Azure Data Factory could benefit from enhancements in data flow management and more diverse integration options. It also requires improvements in complex data transformation capabilities. Talend Data Fabric could improve its cost-effectiveness, reduce complexity in deployment, and offer better support for beginners with simpler interfaces.

Ease of Deployment and Customer Service: Azure Data Factory offers an efficient deployment process with readily available Azure resources. Talend Data Fabric provides flexible on-premise and cloud deployment options. Both offer strong customer service, although Talend's personalized support is better suited for complex implementations.

Pricing and ROI: Azure Data Factory is generally appealing for its cost-effectiveness, especially for businesses already utilizing Azure services, delivering a solid ROI for simpler integrations. Talend Data Fabric demands higher upfront costs but compensates with comprehensive features yielding higher ROI for organizations requiring advanced data transformation capabilities.

To learn more, read our detailed Azure Data Factory vs. Talend Data Fabric Report (Updated: September 2025).

Buyer's Guide

Azure Data Factory vs. Talend Data Fabric

September 2025

Download the complete report

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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

Ranking in other categories

Cloud Data Warehouse (2nd)

Talend Data Fabric

Ranking in Data Integration

27th

Average Rating

8.4

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

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 Data Fabric is 0.9%, down from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	5.6%
Talend Data Fabric	0.9%
Other	93.5%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

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.

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KrishnaBaddam

Presales Manager at Artha Solutions

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.

Read full review

Quotes from Members

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

Pros

"The best part of this product is the extraction, transformation, and load."

"The data copy template is a valuable feature."

"The function of the solution is great."

"It is beneficial that the solution is written with Spark as the back end."

"Data Factory's most valuable feature is Copy Activity."

"The user interface is very good. It makes me feel very comfortable when I am using the tool."

"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."

"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."

More Azure Data Factory pros

"We've had no issues with the stability so far."

"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."

"The Talend data integration has been one of the most valuable features."

"Everything in Talend Data Fabric is GUI-based, making it very user-friendly and easy to learn quickly."

"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."

"The initial setup is very easy."

Cons

"If the user interface was more user friendly and there was better error feedback, it would be helpful."

"Data Factory's cost is too high."

"There's space for improvement in the development process of the data pipelines."

"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."

"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."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

"The setup and configuration process could be simplified."

More Azure Data Factory cons

"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."

"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."

"The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."

"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."

"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."

"I would like to see better integration with other tools."

Pricing and Cost Advice

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"The price is fair."

"The solution's pricing is competitive."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"The pricing is a bit on the higher end."

"I don't see a cost; it appears to be included in general support."

More Azure Data Factory pricing and cost advice

"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

Government

Financial Services Firm

17%

Computer Software Company

11%

Educational Organization

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

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.

See all answers

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...

See all answers

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...

See all answers

What do you like most about Talend Data Fabric?

The initial setup is very easy.

See all answers

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,...

See all answers

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.

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 8% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 6% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

FME vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Talend Open Studio vs Talend Data Fabric

Compared 41% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Fabric

Compared 11% of the time

Talend Data Management Platform vs Talend Data Fabric

Compared 9% of the time

Palantir Foundry vs Talend Data Fabric

Compared 9% of the time

Denodo vs Talend Data Fabric

Compared 8% of the time

More Talend Data Fabric Competitors

Product Reports

Buyer's Guide

Azure Data Factory

September 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

August 2025

Download Talend Data Fabric product report

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

Talend, a leader in cloud data integration and data integrity, enables companies to transform by delivering trusted data at the speed of business.
Talend Data Fabric offers a single suite of apps that shorten the time to trusted data. Users can collect data across systems; govern it to ensure proper use, transform it into new formats and improve quality, and share it with internal and external stakeholders.

Over 3,000 global enterprise customers have chosen Talend to help them turn all their raw data into trusted data to make business decisions with confidence — including GE, HP Inc., and Domino’s.

Talend

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

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Buyer's Guide

Azure Data Factory vs. Talend Data Fabric

September 2025

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