Azure Data Factory vs Talend Data Fabric comparison

Why PeerSpot?

Microsoft and Qlik are both solutions in the Data Integration category. Microsoft is ranked #5 with an average rating of 8.0, while Qlik is ranked #32 with an average rating of 8.0. Microsoft holds a 2.2% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 85% of Qlik users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

14,793 Views
10,207 Comparison Views

92% willing to recommend

Talend Data Fabric

Read 8 Talend Data Fabric reviews

2,688 Views
2,580 Comparison Views

85% 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 2026).

Buyer's Guide

Azure Data Factory vs. Talend Data Fabric

September 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

5th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th)

Talend Data Fabric

Ranking in Data Integration

32nd

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.5% compared to the previous year. The mindshare of Talend Data Fabric is 0.8%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
Talend Data Fabric	0.8%
Other	97.0%

Data Integration

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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Salini Ravindranath

Solution Architect at Spire Solutions

Data governance has improved and complex integrations are handled with flexible customization

Regarding Talend Data Fabric, the ease of use and the customization options that are available are particularly valuable. There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready. Talend Data Catalog is another product that, when combined with Talend Data Fabric, can be used for the data governance. The stewardship, ownership, and curation happen mainly from the Data Catalog side. Within Talend Data Fabric, the role-based access control is used for user segregations such as security, infrastructure-related or integration-related activities. It bifurcates the roles and responsibilities. From the data standpoint, the RBAC functions with the help of Data Catalog.

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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

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

"The support for SAP services and databases, specifically SAP HANA, has been a game-changer for us."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."

"The stability of the Azure Data Factory is very good."

"The tools are impressively well-integrated, allowing quick development of ETL, big data, data warehousing and machine learning solutions with the flexibility to grow and adapt to changing or enhanced requirements."

"The overall architecture has been very valuable to us, as it has allowed us to scale up pretty rapidly."

"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."

More Azure Data Factory pros

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

"Talend has very good support for big data."

"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."

"There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready."

"The initial setup is very easy."

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

"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."

More Talend Data Fabric pros

Cons

"It would be helpful if they could adjust the data capture feature so that when there are source-side changes ADF could automatically figure it out."

"It would be better if it had machine learning capabilities."

"I wouldn't consider it to be stable since it fails at times."

"DataStage is easier to learn than Data Factory because it's more visual."

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

"There are performance issues, particularly with the underlying compute, which should be configurable."

"The speed and performance need to be improved."

"Azure Data Factory didn't bring a lot of good when we were also using Alteryx."

More Azure Data Factory cons

"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."

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

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

"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."

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

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

"Deployment can be difficult, but I didn't test the latest version yet."

"Support is something that drives me crazy these days."

More Talend Data Fabric cons

Pricing and Cost Advice

"The licensing cost is included in the Synapse."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

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

"The solution is cheap."

"This is a cost-effective solution."

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"Product is priced at the market standard."

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

11%

Manufacturing Company

Computer Software Company

Construction Company

Comms Service Provider

14%

Manufacturing Company

Computer Software Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

By reviewers
Company Size	Count
Small Business	5
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...

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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?

One thing I found missing was integrations with SAP systems. We have extensively implemented one complex SAP project with Talend Data Fabric. At the same time, there were some complexities there, a...

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What is your primary use case for Talend Data Fabric?

We are involved with multiple vendors, including Talend, Alteryx, and Informatica in the data management and governance space. In the classification and governance area, we use BigID, Spirion, and ...

See all answers

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

Initially, we were majorly using on-premise solutions and then we have moved into cloud deployments. It depends on the client and their requirement, whether they would want to go ahead with an on-p...

See all answers

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Compared 3% of the time

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Denodo vs Talend Data Fabric

Compared 5% of the time

WSO2 Enterprise Integrator vs Talend Data Fabric

Compared 5% of the time

SAS Data Management vs Talend Data Fabric

Compared 4% of the time

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Product Reports

Buyer's Guide

Azure Data Factory

September 2026

Download Azure Data Factory product report

Buyer's Guide

Talend Data Fabric

August 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 Data Fabric provides a comprehensive solution for managing data pipelines, offering features like data connection, business queries, and schema management. Its user-friendly GUI and multi-cloud orchestration capabilities make it a critical tool for modern data processing needs.

Talend Data Fabric enhances data management by providing 900 connectors for tool integration, supporting multi-cloud orchestration without additional investments. With a user-friendly GUI in Talend Studio and an admin console, it ensures efficient task management. Customization is a key feature valued by developers. While priced as a challenge post-Click transition, eliminating its free license version, opportunities lie in improving its email configuration, deployment ease across platforms, and better integration with other tools. Documentation on data governance and memory management tools could be refined, and the integration of machine learning should be streamlined. Use cases involve data extraction, uploading, integration, and quality management. Organizations utilize it for designing data pipelines, popularizing APIs, anonymizing data, and managing big data processing through clusters like Spark.

What are the main features of Talend Data Fabric?

Data Connection: Facilitates robust connections across multi-cloud environments.
Schema Management: Streamlines schema creation and modifications.
Business Queries: Provides powerful tools for crafting detailed queries.
User-Friendly GUI: Simplifies navigation through Talend Studio and admin console.
900 Connectors: Offers extensive tool integration potential.
Customization: Allows developers to tailor solutions to specific needs.

What benefits should users look for?

Comprehensive Integration: Reduces the need for multiple vendors.
Cloud Support: Enables seamless orchestration across multiple clouds.
Big Data Processing: Manages large-scale data efficiently through clusters like Spark.
API Integration: Facilitates smooth connections with APIs for data interchange.

In industries like finance and healthcare, Talend Data Fabric is used to design secure data pipelines, ensuring compliance and data integrity. Retailers utilize it for streamlined supply chain data integration, while telecommunications rely on it for customer data management and analytics. Its multi-cloud capabilities and rich connector library support diverse industry needs.

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

Information Not Available

Buyer's Guide

Azure Data Factory vs. Talend Data Fabric

September 2026

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