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Azure Data Factory vs Talend Data Fabric comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Number of Reviews
85
Ranking in other categories
Cloud Data Warehouse (3rd)
Talend Data Fabric
Ranking in Data Integration
28th
Average Rating
8.6
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.1%, down from 13.3% compared to the previous year. The mindshare of Talend Data Fabric is 1.5%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Camilo Velasco - PeerSpot reviewer
Oct 27, 2022
No deployment cost, quick implementation, pay only for the processing time and data
The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…
KrishnaBaddam - PeerSpot reviewer
Aug 28, 2024
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

"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"It makes it easy to collect data from different sources."
"From what we have seen so far, the solution seems very stable."
"The data flows were beneficial, allowing us to perform multiple transformations."
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"The most valuable feature is the copy activity."
"The data copy template is a valuable feature."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"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 initial setup is very easy."
"The Talend data integration has been one of the most valuable features."
"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

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"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 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 setup and configuration process could be simplified."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"When we initiated the cluster, it took some time to start the process."
"There aren't many third-party extensions or plugins available in the solution."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"I would like to see better integration with other tools."
"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."
"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."
 

Pricing and Cost Advice

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"The price you pay is determined by how much you use it."
"It's not particularly expensive."
"ADF is cheaper compared to AWS."
"The pricing model is based on usage and is not cheap."
"This is a cost-effective solution."
"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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814,763 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
21%
Computer Software Company
15%
Educational Organization
7%
Government
7%
 

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?
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...
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...
 

Learn More

 

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
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Find out what your peers are saying about Azure Data Factory vs. Talend Data Fabric and other solutions. Updated: October 2024.
814,763 professionals have used our research since 2012.