Azure Data Factory vs MuleSoft Composer comparison

Microsoft and Salesforce are both solutions in the Data Integration category. Microsoft is ranked #3 with an average rating of 8.2, while Salesforce is ranked #25 with an average rating of 7.8. Microsoft holds a 3.2% mindshare in DI, compared to Salesforce’s 0.7% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Salesforce users who would recommend it.

Azure Data Factory

Read 93 Azure Data Factory reviews

11,197 Views
7,838 Comparison Views

92% willing to recommend

MuleSoft Composer

Read 7 MuleSoft Composer reviews

1,461 Views
672 Comparison Views

100% willing to recommend

Azure Data Factory

MuleSoft Composer

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Azure Data Factory and MuleSoft Composer are competitors in the cloud integration space, targeting businesses seeking effective data solutions. Azure Data Factory is praised for its scalability and robust data processing abilities, especially for large-scale enterprise operations. MuleSoft Composer, while more expensive, offers an extensive feature set that appeals to businesses prioritizing ease of use and comprehensive integration capabilities.

Features: Azure Data Factory is recognized for its powerful data transformation tools facilitating complex ETL processes, its seamless integration with Azure services, and strong data pipeline capabilities. MuleSoft Composer stands out with extensive connectivity options, pre-built templates, and rapid integration abilities.

Room for Improvement: Azure Data Factory could benefit from enhanced user interface features for new users, richer templates for diverse integrations, and improved real-time processing capabilities. MuleSoft Composer could work on reducing its overall cost, expanding its support documentation, and increasing the flexibility of its templates to cater to more unique business needs.

Ease of Deployment and Customer Service: Azure Data Factory offers easy deployment with intuitive interfaces and strong documentation from Microsoft’s resources, benefiting users already using the Azure ecosystem. MuleSoft Composer is known for quick setup and user-friendly deployment processes, backed by responsive and effective customer support, offering an edge in service experience.

Pricing and ROI: Azure Data Factory provides a competitive pay-as-you-go pricing model, delivering significant ROI for large enterprises looking for robust data solutions. MuleSoft Composer, despite its higher cost, justifies the investment with enhanced efficiency and a broad feature set, ensuring a high ROI for businesses that prioritize fast, comprehensive integration solutions.

To learn more, read our detailed Azure Data Factory vs. MuleSoft Composer Report (Updated: December 2025).

Buyer's Guide

Azure Data Factory vs. MuleSoft Composer

December 2025

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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:

ROI

Sentiment score

6.4

Azure Data Factory offers significant ROI, efficiency, and cost savings, with users highlighting benefits in data integration and migration.

Sentiment score

5.4

MuleSoft Composer improves data exchange, boosts efficiency by up to 70%, and supports scalable integration across departments, suggesting high value.

Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.

Deena Thayalan

Data Engineer at Vthinktechnologies

For more quotes and insights, download the Azure Data Factory report

No quotes available

For more quotes and insights, download the MuleSoft Composer report

Customer Service

Sentiment score

6.3

Azure Data Factory support is generally satisfactory, with responsive assistance and strong community resources enhancing user satisfaction.

Sentiment score

5.2

MuleSoft Composer's customer service is generally satisfactory, though improvements are needed in response time and priority services.

The technical support is responsive and helpful

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

The technical support from Microsoft is rated an eight out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

The technical support for Azure Data Factory is generally acceptable.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

For more quotes and insights, download the Azure Data Factory report

No quotes available

For more quotes and insights, download the MuleSoft Composer report

Scalability Issues

Sentiment score

7.4

Azure Data Factory offers scalable cloud-based solutions for diverse operations, despite some third-party integration limitations and use case challenges.

Sentiment score

6.0

MuleSoft Composer is rated positively for scalability, supporting both large user numbers and smaller groups efficiently.

Azure Data Factory is highly scalable.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

For more quotes and insights, download the Azure Data Factory report

No quotes available

For more quotes and insights, download the MuleSoft Composer report

Stability Issues

Sentiment score

7.8

Azure Data Factory is considered highly stable and reliable, though minor issues can occur, mostly in development environments.

Sentiment score

6.6

Users praise MuleSoft Composer's stability and support, noting minor glitches but effective resource deployment and no crashes.

The solution has a high level of stability, roughly a nine out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

For more quotes and insights, download the Azure Data Factory report

No quotes available

For more quotes and insights, download the MuleSoft Composer report

Room For Improvement

Azure Data Factory needs better integration, UI, documentation, data handling, pricing transparency, real-time processing, connectivity, and scheduling.

MuleSoft Composer needs platform integration, interface, scalability enhancements, effective guidance, AI, simplified configuration, and improved monitoring features.

There is a problem with the integration with third-party solutions, particularly with SAP.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

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

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

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.

Deena Thayalan

Data Engineer at Vthinktechnologies

For more quotes and insights, download the Azure Data Factory report

It would be better to concentrate on one platform and develop everything on it for the integrated development environment.

reviewer2763903

BTP Architect at a government with 1,001-5,000 employees

For more quotes and insights, download the MuleSoft Composer report

Setup Cost

Azure Data Factory's pricing is pay-as-you-go, with costs based on usage, offering competitive and cost-effective solutions.

MuleSoft Composer pricing is seen as high, prompting calls for regional adjustments to enhance accessibility for medium companies.

The pricing is cost-effective.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

No quotes available

For more quotes and insights, download the MuleSoft Composer report

Valuable Features

Azure Data Factory offers scalable ETL processes with easy integration, user-friendly interface, and strong orchestration, security, and automation features.

MuleSoft Composer simplifies integration for Salesforce users with prebuilt connectors and compatibility without requiring programming skills.

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.

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.

Deena Thayalan

Data Engineer at Vthinktechnologies

It connects to different sources out-of-the-box, making integration much easier.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

It has more options for installation and architecture because it can run entirely on-premise.

reviewer2763903

BTP Architect at a government with 1,001-5,000 employees

For more quotes and insights, download the MuleSoft Composer report

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)

MuleSoft Composer

Ranking in Data Integration

25th

Average Rating

7.8

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Cloud Data Integration (15th), Integration Platform as a Service (iPaaS) (14th)

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Azure Data Factory is 3.2%, down from 10.0% compared to the previous year. The mindshare of MuleSoft Composer is 0.7%, up from 0.3% 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	3.2%
MuleSoft Composer	0.7%
Other	96.1%

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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reviewer2763903

BTP Architect at a government with 1,001-5,000 employees

Has supported on-premise deployments well but could improve tool consolidation and flow development flexibility

I have analyzed but haven't used MuleSoft Composer extensively. I am not very proficient in the subject of pricing. Both platforms are performing well. If a customer is more SAP-centric, it makes sense to consider integration suite because of the predefined content. A customer will need to have SAP BTP for side-by-side application extensions. MuleSoft Composer is powerful and flexible in terms of installation options, with runtime either on cloud or fully on-premise. It is quite a popular platform. MuleSoft Composer might be less expensive than SAP integration suite, though this is an assumption as I haven't compared prices. I am accustomed to learning and studying with SAP documentation. The organization is more convenient for me, though there are plenty of documentation and resources for MuleSoft Composer as well. The context is the primary consideration. If a customer uses multiple SAP solutions, not just SAP for accounting, it makes sense to consider the integration suite due to better SAP compatibility. When SAP introduces new interface technology, integration suite will be the first to support it, while MuleSoft Composer will need time to develop new connectors. I rate this solution a six out of ten.

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

11%

Government

10%

Manufacturing Company

Healthcare Company

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	3
Midsize Enterprise	2
Large Enterprise	2

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 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.

See all answers

What is your experience regarding pricing and costs for MuleSoft Composer?

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What needs improvement with MuleSoft Composer?

I used Anypoint Studio, which is good though not very flexible. It seems strange that some functionality from MuleSoft Composer is available from Eclipse and some from Visual Code. It would be bett...

See all answers

Comparisons

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Compared 7% of the time

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

Compared 6% of the time

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Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 4% of the time

FME vs Azure Data Factory

Compared 4% of the time

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MuleSoft Anypoint Platform vs MuleSoft Composer

Compared 13% of the time

Workato vs MuleSoft Composer

Compared 11% of the time

Celigo Integration Platform vs MuleSoft Composer

Compared 8% of the time

PortX vs MuleSoft Composer

Compared 7% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs MuleSoft Composer

Compared 6% of the time

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Product Reports

Buyer's Guide

Azure Data Factory

January 2026

Download Azure Data Factory product report

Buyer's Guide

Cloud Data Integration

January 2026

Download MuleSoft Composer product report

Also Known As

No data available

MuleSoft Composer for Salesforce

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

Connect apps and data to Salesforce quickly and easily with clicks, not code — all inside of the Salesforce UI.

Enrich your 360-degree customer view by empowering your Salesforce admins with a no-code solution for quickly unlocking data, connecting apps, and automating integrations to boost productivity.

- Build integrations easily with clicks, not code — all inside Salesforce
- Hit the ground running with a growing library of prebuilt connectors
- Preview as you build connections and design with real data
- Monitor any errors with automatic alerts

Salesforce

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. MuleSoft Composer

December 2025

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