Azure Data Factory vs Talend Data Fabric comparison

Microsoft and Qlik are both solutions in the Data Integration category. Microsoft is ranked #3 with an average rating of 8.2, while Qlik is ranked #35 with an average rating of 7.0. Microsoft holds a 3.0% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 83% of Qlik users who would recommend it.

Azure Data Factory

Read 93 Azure Data Factory reviews

11,065 Views
7,745 Comparison Views

92% willing to recommend

Talend Data Fabric

Read 7 Talend Data Fabric reviews

1,421 Views
1,364 Comparison Views

83% 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: February 2026).

Buyer's Guide

Azure Data Factory vs. Talend Data Fabric

February 2026

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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

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Talend Data Fabric

Ranking in Data Integration

35th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of Azure Data Factory is 3.0%, down from 9.8% compared to the previous year. The mindshare of Talend Data Fabric is 0.8%, down from 1.2% 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	3.0%
Talend Data Fabric	0.8%
Other	96.2%

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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reviewer2791317

Architect at a tech services company with 201-500 employees

Data integration has become highly customizable but pricing and memory tuning still need improvement

From my experience around Business Intelligence for data and analytics for around twenty-something years, I can say that what I appreciate about Talend Data Fabric is that we can connect sources to everything and be able to customize everything. The freedom I have as a developer is what pleases me most regarding Talend Data Fabric, as I always find a way to customize a component to meet my needs. The downside, however, is indeed the pricing, which has been the biggest challenge; since it went to Click, there is no longer a free license version such as Talend Open Studio, so either you pay or you do not have anything.

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Quotes from Members

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

Pros

"It is easy to integrate."

"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."

"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."

"I am one hundred percent happy with the stability."

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

"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."

"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."

"We have been using drivers to connect to various data sets and consume data."

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."

"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."

"From my experience around Business Intelligence for data and analytics for around twenty-something years, I can say that what I appreciate about Talend Data Fabric is that we can connect sources to everything and be able to customize everything."

"The initial setup is very easy."

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

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

Cons

"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."

"I have not found any real shortcomings within the product."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

"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."

"I would like to be informed about the changes ahead of time, so we are aware of what's coming."

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

"The deployment should be easier."

More Azure Data Factory cons

"The downside, however, is indeed the pricing, which has been the biggest challenge; since it went to Click, there is no longer a free license version such as Talend Open Studio, so either you pay or you do not have anything."

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

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

"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."

"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

"Data Factory is affordable."

"I would not say that this product is overly expensive."

"ADF is cheaper compared to AWS."

"Pricing appears to be reasonable in my opinion."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

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

"Pricing is comparable, it's somewhere in the middle."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

More Azure Data Factory pricing and cost advice

"There are no additional licensing fees when you scale"

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

12%

Computer Software Company

11%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	57

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
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 needs improvement with Talend Data Fabric?

Regarding the downsides of Talend Data Fabric, I think they can improve overall pricing. It is a challenging question to answer because, while I see advantages, the disadvantages revolve mostly aro...

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What is your primary use case for Talend Data Fabric?

I am currently phasing out of Talend Data Fabric, as the client where I have worked for many years migrated out of Talend this year into a different tool. I have helped the team to migrate out of T...

See all answers

What advice do you have for others considering Talend Data Fabric?

At the moment of phasing out Talend Data Fabric, maintenance from my end is not applicable. A new user would need to monitor the drivers associated with the tools being used closely. For example, i...

See all answers

Comparisons

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

Compared 6% of the time

Snowflake vs Azure Data Factory

Compared 6% of the time

FME vs Azure Data Factory

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

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

Compared 12% of the time

Qlik Talend Cloud vs Talend Data Fabric

Compared 11% of the time

Palantir Foundry vs Talend Data Fabric

Compared 8% of the time

Pentaho Data Integration and Analytics vs Talend Data Fabric

Compared 8% of the time

IBM InfoSphere DataStage vs Talend Data Fabric

Compared 5% of the time

More Talend Data Fabric Competitors

Product Reports

Buyer's Guide

Azure Data Factory

February 2026

Download Azure Data Factory product report

Buyer's Guide

Talend Data Fabric

January 2026

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.

Qlik

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

February 2026

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