Azure Data Factory vs MuleSoft Anypoint Platform comparison

The compared Microsoft and Salesforce solutions aren't in the same category. Microsoft is ranked #1 in DI , with an average rating of 8.1, and holds a 11.0% mindshare in the category. Salesforce is ranked #2 in BBM , with an average rating of 8.1, and holds a 14.0% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 91% of Salesforce users who would recommend it.

Azure Data Factory

Read 86 Azure Data Factory reviews

21,615 Views
17,232 Comparison Views

92% willing to recommend

MuleSoft Anypoint Platform

Read 56 MuleSoft Anypoint Platform reviews

2,348 Views
1,529 Comparison Views

91% willing to recommend

Azure Data Factory

MuleSoft Anypoint Platform

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and MuleSoft Anypoint Platform based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. MuleSoft Anypoint Platform Report (Updated: May 2023).

Buyer's Guide

Azure Data Factory vs. MuleSoft Anypoint Platform

May 2023

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Helped 824,067 peers since 2012

Categories and Ranking

Azure Data Factory

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

MuleSoft Anypoint Platform

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Message Queue (MQ) Software (4th), Business-to-Business Middleware (2nd), Workload Automation (10th), 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 11.0%, down 13.3% compared to last year.
MuleSoft Anypoint Platform, on the other hand, focuses on Business-to-Business Middleware, holds 14.0% mindshare, up 14.0% since last year.

Data Integration

Business-to-Business Middleware

Featured Reviews

Thulani David Mngadi

Data architect at Old Mutual

Data flow feature is valuable for data transformation tasks

The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.

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Vijay Subramanyam

Delivery Head at CBL Solutions

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.

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Quotes from Members

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

Pros

"I like the basic features like the data-based pipelines."

"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."

"We haven't had any issues connecting it to other products."

"Data Factory's best features are simplicity and flexibility."

"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 is easy to integrate."

"The most valuable feature of this solution would be ease of use."

"The most valuable feature is the ease in which you can create an ETL pipeline."

More Azure Data Factory pros

"Customers can make use of Runtime Fabric, an RTF environment."

"The tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."

"It's easy to develop APIs."

"The most valuable feature is their integrations and very good API management."

"The product is very user-friendly."

"Good interface, simple to use and stable."

"The use of ACK is valuable."

"The solution's deployment and proxy processes are very good."

More MuleSoft Anypoint Platform pros

Cons

"Data Factory's performance during heavy data processing isn't great."

"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."

"My only problem is the seamless connectivity with various other databases, for example, SAP."

"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."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"Data Factory's cost is too high."

More Azure Data Factory cons

"It has different types of subscriptions. For platinum or lower subscriptions, there are not too many things that can be done. We don't see many features. They should release a basic version that has logging and monitoring features. These features should come with Mule Anypoint Platform for free instead of making customers pay separately for these features. Its dashboard can be improved to have a lot of charts so that it is easy to visualize information. The utilization part can be improved. The dashboard is good currently, but it can be better. Other solutions like Elastic have a good dashboard, and they allow you to administer the product from the UI. Currently, for RTF, there is a different dashboard or utility. It would be good to include the same utility in the cloud solution. It would be good if there is a centralized repository that includes the links to the information about various troubleshooting issues. The documentation is there currently, and it is good, but the troubleshooting information is too scattered. We have to go to different links to find troubleshooting information. This kind of centralized repository would be helpful for new customers who are implementing this solution. It will be helpful to see different kinds of issues that can occur."

"The price could be improved."

"The stability could be better."

"Better documentation, in particular with respect to the initial setup, would be helpful."

"Technical support needs to be improved, especially when you need help with more technical aspects of the solution."

"Its documentation needed a little bit of work to make it more usable. It is a platform that is used mainly by developers and other people for connecting systems. Its documentation was confusing in some areas and was not very helpful in other areas. I had to go to a consultant to get some work done, which ideally shouldn't be required."

"The inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."

"One area for improvement is the Community Hub or developer portal, which should be part of the base offering."

More MuleSoft Anypoint Platform cons

Pricing and Cost Advice

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"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."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"The price is fair."

"This is a cost-effective solution."

"The pricing model is based on usage and is not cheap."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

"It's not particularly expensive."

More Azure Data Factory pricing and cost advice

"The solution is the priciest in the market which is an issue for some clients."

"Making changes in Anypoint MQ is expensive."

"Price-wise, it is a good product since it is reasonably priced."

"I can't give you a straightforward answer because sometimes it depends on the usage. If you're going to have fewer than 5 million messages, it is free of cost. If you're going to have more than 5 million messages, they're going to charge $100 per month"

"MuleSoft Anypoint Platform really needs to work on its pricing model because it's very complicated."

"Mule Anypoint Platform is an expensive solution."

"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing as four or five out of ten."

"The tool is heavily bundle-priced. I rate the solution’s pricing five on a scale of ten, where one is expensive, and ten is cheap."

More MuleSoft Anypoint Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Educational Organization

23%

Computer Software Company

13%

Financial Services Firm

10%

Manufacturing Company

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.

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 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...

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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...

See all answers

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...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

More Azure Data Factory Competitors

ActiveMQ vs MuleSoft Anypoint Platform

Compared 11% of the time

Apache Kafka vs MuleSoft Anypoint Platform

Compared 9% of the time

Microsoft Azure Logic Apps vs MuleSoft Anypoint Platform

Compared 6% of the time

Amazon SQS vs MuleSoft Anypoint Platform

Compared 5% of the time

Denodo vs MuleSoft Anypoint Platform

Compared 3% of the time

More MuleSoft Anypoint Platform Competitors

Product Reports

Buyer's Guide

Azure Data Factory

December 2024

Download Azure Data Factory product report

Buyer's Guide

MuleSoft Anypoint Platform

December 2024

Download MuleSoft Anypoint Platform product report

Also Known As

No data available

Data Integrator, Anypoint MQ

Learn More

Microsoft

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.

MuleSoft Anypoint Platform is used for integration and API management, connecting enterprise applications across retail, e-commerce, and supply chain. It supports cloud-to-cloud and cloud-to-on-premises scenarios with real-time and asynchronous messaging.

Users leverage MuleSoft Anypoint Platform for diverse integrations including cloud-based and on-premises, enabling data transformations, middleware functions, and hybrid integrations. It seamlessly connects systems like SAP, Salesforce, and Oracle, facilitating data transfers and integrating legacy systems. The platform offers a graphic interface, quick implementation, and a variety of connectors, contributing to its popularity for robust and scalable solutions. Despite its strengths, users seek better technical support, more connectors, simplified runtime management, and improved documentation.

What are the key features of MuleSoft Anypoint Platform?

Marketplace for integration platforms: Provides pre-built connectors and templates.
API management: Efficient management and monitoring of APIs.
Graphic interface: User-friendly design for ease of use.
Monitoring capabilities: Comprehensive monitoring and observability features.
Quick implementation: Rapid deployment of integrations and APIs.
Pre-built templates: Ready-to-use templates for common integrations.
Stability and performance: Reliable and high-performing platform.
Data transformation with DataWeave: Powerful tool for data mapping and transformation.
Support for hybrid deployments: Flexibility to integrate cloud and on-premises systems.

What benefits and ROI can users expect?

Increased connectivity: Seamless integration of multiple systems.
Operational efficiency: Streamlined processes and data flows.
Scalability: Ability to grow with business needs.
Cost savings: Reduced development time with pre-built components.
Enhanced visibility: Improved monitoring and management of integrations.

Enterprises in retail, e-commerce, and supply chain implement MuleSoft Anypoint Platform to connect various applications and systems. It supports real-time messaging for inventory management, synchronizes customer data across platforms, and integrates with legacy systems for smooth data migration. Users benefit from quick deployments and a marketplace that accelerates integration projects.

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

Buyer's Guide

Azure Data Factory vs. MuleSoft Anypoint Platform

May 2023

Free Report: Azure Data Factory vs. MuleSoft Anypoint Platform

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