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Azure Data Factory vs MuleSoft Composer comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

Review summaries and opinions

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

ROI

Sentiment score
6.8
Azure Data Factory offers cost-effective, efficient data consolidation for actionable insights, saving time and resources compared to manual processes.
Sentiment score
7.6
MuleSoft Composer enhances efficiency, reduces costs, improves time-to-market, and increases value with easy integration and better data accuracy.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
 

Customer Service

Sentiment score
6.4
Azure Data Factory support is generally satisfactory, with responsive assistance, though some users report delays or costly consulting.
Sentiment score
7.3
Users commend MuleSoft Composer's responsive and professional customer service team for efficient problem-solving and quick resolution times.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory is highly scalable and flexible but has room for improvement with third-party integrations and large datasets.
Sentiment score
7.0
MuleSoft Composer is highly rated for scalability, efficiently managing varying data volumes and adaptable for organizations of all sizes.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is stable and reliable, with occasional issues in responsiveness and large dataset handling.
Sentiment score
7.0
Users find MuleSoft Composer stable and well-performing, despite occasional glitches quickly resolved by support.
The solution has a high level of stability, roughly a nine out of ten.
 

Room For Improvement

Azure Data Factory needs better integration, scheduling, support, AI features, and user interface improvements for efficient data management.
MuleSoft Composer needs better platform integrations, interface, scalability, AI integration, and support for complex data and API sharing challenges.
Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters.
The inability to connect local VMs and local servers into the data flow is a limitation that prevents giving Azure Data Factory a perfect score.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
 

Setup Cost

Azure Data Factory offers competitive, flexible pricing based on usage, with costs integrating Azure services and varying significantly.
MuleSoft Composer is considered costly, especially in Brazil and India, with users recommending a 20%-30% price reduction.
The pricing is cost-effective.
It is considered cost-effective.
 

Valuable Features

Azure Data Factory excels in data integration with user-friendly features, scalability, and over 100 connectors for seamless data movement.
MuleSoft Composer offers Salesforce integration, ease of use, API sharing, prebuilt connectors, and effective data handling, monitoring, and notifications.
The orchestration features in Azure Data Factory are definitely useful, as it is not only for Azure Data Factory; we can also include DataBricks and other services for integrating the data solution, making it a very beneficial feature.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
It connects to different sources out-of-the-box, making integration much easier.
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (2nd)
MuleSoft Composer
Ranking in Data Integration
25th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
6
Ranking in other categories
Cloud Data Integration (15th), Integration Platform as a Service (iPaaS) (11th)
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of MuleSoft Composer is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.2%
MuleSoft Composer0.4%
Other94.4%
Data Integration
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
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.
Prince Barai - PeerSpot reviewer
The prebuilt connectors save a lot of time and money, but the customer support and price must be improved
Our customer’s system is very old. We are trying to upgrade it. We are extracting data from the system and sending it to Salesforce. The product is a good option if we want to build process automation for data. It can be done quickly through the tool. We need not do coding and waste our time and efforts. The ease of learning depends on the person who is learning the product. It depends on whether they come from a developer background. It would be easy to learn if they have some experience in coding and have worked on integrations. I haven’t faced many challenges while scaling our integration solutions with MuleSoft Composer. The drag-and-drop interface has not impacted our project deployment time much. The customer support and price can be improved. Overall, I rate the tool a seven out of ten.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Government
7%
Manufacturing Company
13%
Computer Software Company
12%
Financial Services Firm
12%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise19
Large Enterprise55
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 do you like most about MuleSoft Composer?
The way Composer organizes and manages integration processes is most beneficial. We can easily monitor what's running and what isn't and troubleshoot any data integration issues.
What is your experience regarding pricing and costs for MuleSoft Composer?
It's costly, especially for Indian clients. Reducing the price would help them penetrate the Indian market. A two-year license costs around seventy lakhs rupees. It's a considerable amount.
What needs improvement with MuleSoft Composer?
Configuration could be easier, but we were able to handle it. It seems that juniors find it challenging, but seniors like me know how to configure it properly. There are no issues. There is also on...
 

Also Known As

No data available
MuleSoft Composer for Salesforce
 

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
Information Not Available
Find out what your peers are saying about Azure Data Factory vs. MuleSoft Composer and other solutions. Updated: September 2025.
869,760 professionals have used our research since 2012.