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 8.1, while Talend is ranked #29 with an average rating of 9.0. Microsoft holds a 11.0% mindshare in DI, compared to Talend’s 1.5% 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 86 Azure Data Factory reviews

21,615 Views
17,232 Comparison Views

92% willing to recommend

Talend Data Fabric

Read 5 Talend Data Fabric reviews

2,179 Views
1,777 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: December 2024).

Buyer's Guide

Azure Data Factory vs. Talend Data Fabric

December 2024

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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 (3rd)

Talend Data Fabric

Ranking in Data Integration

29th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.0%, down from 13.3% compared to the previous year. The mindshare of Talend Data Fabric is 1.5%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Thulani David Mngadi

Data architect at Old Mutual

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.

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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

"It makes it easy to collect data from different sources."

"The security of the agent that is installed on-premises is very good."

"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."

"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."

"The most valuable feature is the ease in which you can create an ETL pipeline."

"The solution is okay."

"The flexibility that Azure Data Factory offers is great."

"It is a complete ETL Solution."

More Azure Data Factory pros

"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 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."

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

"The initial setup is very easy."

Cons

"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."

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

"Data Factory's monitorability could be better."

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

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

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."

"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."

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."

"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."

"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 cost is based on the amount of data sets that we are ingesting."

"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."

"I would rate Data Factory's pricing nine out of ten."

"Product is priced at the market standard."

"The price is fair."

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

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

"It's not particularly expensive."

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

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

20%

Computer Software Company

16%

Educational Organization

Manufacturing Company

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.

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?

Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup. With Talend, multiple servers and components need to be properl...

See all answers

What is your primary use case for Talend Data Fabric?

Talend Data Fabric is more than just a typical integration tool; it's a comprehensive suite of tools that includes Talend Data Integration. It supports API integrations, transferring data through A...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Talend Open Studio vs Talend Data Fabric

Compared 31% of the time

Talend Data Management Platform vs Talend Data Fabric

Compared 18% of the time

Alteryx Designer vs Talend Data Fabric

Compared 12% of the time

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

Compared 6% of the time

SSIS vs Talend Data Fabric

Compared 5% of the time

More Talend Data Fabric Competitors

Product Reports

Buyer's Guide

Azure Data Factory

December 2024

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Buyer's Guide

Data Integration

December 2024

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Learn More

Microsoft

Talend

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.

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.

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

December 2024

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