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Azure Data Factory vs MuleSoft Anypoint Platform comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.3
Azure Data Factory enhances efficiency, centralizes data, reduces costs, and improves data analysis, offering significant financial and operational benefits.
Sentiment score
7.2
MuleSoft Anypoint Platform reduces TCO, simplifies integration, and offers high ROI, though pricing may challenge smaller companies.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is responsive but varies in speed, with community resources and documentation aiding user satisfaction.
Sentiment score
6.8
Users praise MuleSoft's responsive support but suggest documentation and response time improvements; satisfaction varies with support levels.
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.
The Salesforce team offers different levels of support.
The support team is responsive and helpful.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory excels in scalability, efficiently managing workloads for any size, despite higher costs than alternatives.
Sentiment score
7.6
MuleSoft Anypoint Platform is highly flexible and scalable but faces challenges with file sizes and scaling costs.
Azure Data Factory is highly scalable.
MuleSoft Anypoint Platform is quite scalable, and it meets our use cases with no issues preventing implementation.
MuleSoft provides the ability to scale, yet it is costly to do so.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is stable and reliable, but faces integration challenges and requires enhancements to compete with top competitors.
Sentiment score
7.9
MuleSoft Anypoint Platform shows improved stability, minimal issues, and high reliability with optimized resource management in cloud environments.
The solution has a high level of stability, roughly a nine out of ten.
 

Room For Improvement

Azure Data Factory needs improved integration, better scheduling, enhanced UI, simplified pricing, more connectors, and responsive support.
MuleSoft Anypoint Platform needs enhancements in processing, support, integration, and user interface for improved efficiency and usability.
There is a problem with the integration with third-party solutions, particularly with SAP.
When using Git services, there are challenges with linked services and triggers getting overridden when moving between different environments (Dev, UAT, Prod).
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Currently, it uses other standards, but adopting OpenAPI, the standard in the market, would be beneficial.
When dealing with multiple transactions or trading, the system can lose control, and tracking becomes hectic.
MuleSoft is considered expensive, so pricing is a major concern.
 

Setup Cost

Azure Data Factory pricing is usage-based and cost-effective, but large data volumes can lead to increased expenses.
MuleSoft Anypoint Platform's pricing is complex and high, potentially deterring smaller organizations despite offering enterprise support.
The pricing is cost-effective.
It is considered cost-effective.
I do not know the specific costs, but given that it is part of MuleSoft, I suspect it is not cheap.
MuleSoft is considered one of the more expensive products in the market.
The platform reduces manual workload in maintaining infrastructure, but it does come with some cost considerations.
 

Valuable Features

Azure Data Factory provides seamless data integration, robust transformations, scalability, and strong SAP support, praised for its ease of use.
MuleSoft Anypoint Platform excels with API management, integration features, a user-friendly interface, and robust data management capabilities.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API.
MuleSoft Anypoint Platform helps to standardize data integration approaches, making it easier to implement integration projects.
The platform is integrated with Salesforce, making it preferable when using Salesforce products.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
MuleSoft Anypoint Platform
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
58
Ranking in other categories
Message Queue (MQ) Software (3rd), Business-to-Business Middleware (1st), Workload Automation (4th), Cloud Data Integration (4th), Integration Platform as a Service (iPaaS) (2nd)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 7.9%, down 12.2% compared to last year.
MuleSoft Anypoint Platform, on the other hand, focuses on Business-to-Business Middleware, holds 11.1% mindshare, down 14.8% since last year.
Data Integration
Business-to-Business Middleware
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Tolulope A. Adeniji - PeerSpot reviewer
Provides application integration and reduces time and effort during upgrades
One of the most valuable aspects was its impact on reducing time and effort during upgrades. Previously, SAP upgrades required significant coordination with multiple teams. Now, thanks to our streamlined integration approach, the SAP team interacts primarily with the integration team. When changes are needed, we simply create a new version. This allows application teams to migrate gradually from the old version to the new one, without extensive involvement from the SAP team. Moreover, our approach has improved reliability by eliminating duplicated efforts. Previously, different teams would often duplicate data sets due to inefficiencies in data naming conventions. We centralized data integration, ensuring that all applications use the same data set.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
6%
Computer Software Company
14%
Financial Services Firm
12%
Educational Organization
10%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 advice do you have for others considering Mule Anypoint Platform?
I architected solutions using Oracle SOA/OSB, Spring Boot, MuleSoft Anypoint Platform on cloud / on-premises and hybrid modes; What I see is though if you are an enterprise and have enough money th...
How does TIBCO BusinessWorks compare with Mule Anypoint Platform?
Our organization ran comparison tests to determine whether TIBCO BusinessWorks or Mule Anypoint platform integration and connectivity software was the better fit for us. We decided to go with Mule...
What can Mule Anypoint Platform be used for and what do you use it for most often?
This is a very flexible solution that comes with multiple uses. My organization mostly uses Mule Anypoint Platform for API management, as it lets us build new APIs easily and design new interfaces...
 

Also Known As

No data available
Data Integrator, Anypoint MQ
 

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
VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren
Find out what your peers are saying about Azure Data Factory vs. MuleSoft Anypoint Platform and other solutions. Updated: May 2023.
859,687 professionals have used our research since 2012.