Azure Data Factory vs Mule Anypoint Platform comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Number of Reviews
81
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
Mule Anypoint Platform
Average Rating
8.2
Number of Reviews
42
Ranking in other categories
Business-to-Business Middleware (2nd), Workload Automation (8th), Cloud Data Integration (3rd), Integration Platform as a Service (iPaaS) (1st)
 

Market share comparison

As of June 2024, in the Data Integration category, the market share of Azure Data Factory is 9.6% and it decreased by 29.4% compared to the previous year. The market share of Mule Anypoint Platform is 3.3% and it increased by 23.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
Unique Categories:
Cloud Data Warehouse
13.6%
Business-to-Business Middleware
11.9%
Workload Automation
0.8%
 

Featured Reviews

KP
Apr 5, 2023
Lots of features and easy data collection but needs more integrations
We primarily use the solution for data warehousing. I'm integrating data from multiple sources I have a team helping me out from India. It helps manage the data and collect everything from sources. The product has a lot of features. It makes it easy to collect data from different sources. The…
VS
Jul 21, 2023
Robust, reliable, and stable, ensuring high availability for critical integrations
I would rate the scalability an eight out of ten; it is a highly scalable solution. We have around 200 end users using this solution in our company. We use it to its maximum capacity. However, it's not for P1 applications, but definitely for severity two cases (P2 level). It integrates critical applications, but it's not a platform that, if it stops, the entire system would come down. So, it's more like a severity two level. However, it has the potential to eventually become a P1 platform. Not exactly P1 applications, but a P1 platform. Because now we are still in the transition to migrate everything, all the integrations to Mule Anypoint Platform. But once it's done, then this platform becomes critical. Because even now, we have point-to-point connections.

Quotes from Members

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

Pros

"It is beneficial that the solution is written with Spark as the back end."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"It makes it easy to collect data from different sources."
"It's extremely consistent."
"It has improved our organization a lot because of the increase in productivity, and it has simplified the development of products. MuleSoft Anypoint Platform is a highly effective tool where you can build integrations so effectively. If you establish the integration platform, it increases productivity. It helps us to do effective re-authentication, and it speeds the integration."
"API management."
"The ability to define multi-tiered APIs and reuse them is a fantastic platform feature."
"MuleSoft Anypoint Platform's most valuable features are its observability and stability."
"The most valuable features for us are flexibility, all the features related to connectivity with multiple connectors to the business, and the flexibility of on-premises and cloud deployments."
"The most valuable features of the Mule Anypoint Platform are the Flex Gateway, API management, easy-to-use, and connectors. Additionally, they are coming out with improvements to the solution when required."
"The solution's deployment and proxy processes are very good."
"The most valuable feature of the solution is a huge list of available connectors for a lot of different platforms, which we can use very easily."
 

Cons

"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"It can improve from the perspective of active logging. It can provide active logging information."
"Data Factory's monitorability could be better."
"The number of standard adaptors could be extended further."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"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."
"I would like to see some data integration and automation."
"It should give better control over account management."
"The platform's data integration tools need improvement on the processing side."
"Mule Anypoint Platform is complex for beginners. Users without programming skills will find it complex. It should also improve its pricing."
"The price could be improved."
"The stability could be better."
"Technical support needs to be improved, especially when you need help with more technical aspects of the solution."
"An on-premise setup requires special skills and you need a lot of professional services."
 

Pricing and Cost Advice

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"Pricing appears to be reasonable in my opinion."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"Data Factory is affordable."
"The price you pay is determined by how much you use it."
"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."
"Pricing is comparable, it's somewhere in the middle."
"The solution's pricing, as per the old approach, is expensive."
"I rate the product price a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"Price-wise, it is a good product since it is reasonably priced."
"Mule is not the cheapest integration platform out there, but it deserves the price we are paying."
"Licensing can be complex as is the case with most iPaaS/cloud offerings."
"The product is still very expensive."
"The solution is the priciest in the market which is an issue for some clients."
"Mule Anypoint Platform is affordable."
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
13%
Manufacturing Company
8%
Healthcare Company
7%
Educational Organization
22%
Computer Software Company
14%
Financial Services Firm
8%
Manufacturing Company
8%
 

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
 

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. Mule Anypoint Platform and other solutions. Updated: May 2023.
787,061 professionals have used our research since 2012.