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 8.0, and holds a 11.8% mindshare in the category. Salesforce is ranked #2 in BBM , with an average rating of 8.2, and holds a 13.7% mindshare. Additionally, 91% of Microsoft users are willing to recommend the solution, compared to 91% of Salesforce users who would recommend it.

Azure Data Factory

Read 85 Azure Data Factory reviews

25,195 Views
19,988 Comparison Views

91% willing to recommend

MuleSoft Anypoint Platform

Read 55 MuleSoft Anypoint Platform reviews

2,739 Views
1,710 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 801,394 peers since 2012

Categories and Ranking

Azure Data Factory

Average Rating

8.0

Number of Reviews

Ranking in other categories

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

MuleSoft Anypoint Platform

Average Rating

8.0

Number of Reviews

Ranking in other categories

Message Queue (MQ) Software (3rd), Business-to-Business Middleware (2nd), Workload Automation (9th), Cloud Data Integration (4th), Integration Platform as a Service (iPaaS) (1st)

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 11.8%, down 13.2% compared to last year.
MuleSoft Anypoint Platform, on the other hand, focuses on Business-to-Business Middleware, holds 13.7% mindshare, up 13.8% since last year.

Data Integration

Business-to-Business Middleware

Featured Reviews

Kevin McAllister

Executive Manager at Hexagon AB

Jan 18, 2023

Light, inexpensive way to ingest data

I primarily use Data Factory to ingest data. For example, if we need to pull data into our data warehouse from somewhere like Azure Event Hub or salesforce.com We have telemetry that streams into an Azure Event Hub, and Data Factory allowed us to move that data from the Event Hub into our data…

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Vijay Subramanyam

Delivery Head at Cblsolutions

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.

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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

"The most valuable aspect is the copy capability."

"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."

"It makes it easy to collect data from different sources."

"Azure Data Factory became more user-friendly when data-flows were introduced."

"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."

"From what we have seen so far, the solution seems very stable."

"It is easy to integrate."

"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."

More Azure Data Factory pros

"The tool’s API management capabilities are excellent."

"The API toolkit is the solution's most valuable aspect at this time, for our organization."

"The product is very user-friendly."

"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."

"Overall, it is a pretty good product. It is also very scalable."

"MuleSoft offers with the Anypoint Platform a unified platform for API management and an integration Platform as a Service (iPaaS) as well as an on-premise Enterprise Service Bus pattern."

"Mule Anypoint Platform's valuable features are its flexibility in terms of deployment and its SaaS capabilities."

"The use of ACK is valuable."

More MuleSoft Anypoint Platform pros

Cons

"Data Factory's cost is too high."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."

"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."

"Azure Data Factory can improve by having support in the drivers for change data capture."

"There is no built-in pipeline exit activity when encountering an error."

"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."

More Azure Data Factory cons

"MuleSoft's release calendar is rather conventional with two major, two minor releases and hotfixes in between. The competition sometimes offer more rapid release cycles and provides improved and new functionality with a faster time-to-market."

"The solution is very expensive. They need to work on the pricing."

"Lacks intelligent management data and intelligent mappings."

"The price could be improved."

"The pricing can be a little bit less."

"The initial setup should be made easy and the documentation should have some guidance."

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

"The solution's licensing model is expensive and could be improved."

More MuleSoft Anypoint Platform cons

Pricing and Cost Advice

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"The licensing cost is included in the Synapse."

"The price you pay is determined by how much you use it."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

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

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"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."

"The solution's pricing is competitive."

More Azure Data Factory pricing and cost advice

"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."

"I rate the product price a nine on a scale of one to ten, where one is cheap, and ten is expensive."

"Regarding pricing, I believe there could be room for improvement to align with user expectations."

"The pricing of our solution is highly competitive. While it may not be categorized as exceptionally low, it is certainly more affordable compared to IBM."

"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."

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

"The product's price seems to be competent in comparison to other products in the market."

"The product comes complete at one set price including support."

More MuleSoft Anypoint Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

13%

Manufacturing Company

Healthcare Company

Educational Organization

20%

Computer Software Company

15%

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...

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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...

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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 14% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

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

Compared 9% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

ActiveMQ vs MuleSoft Anypoint Platform

Compared 12% of the time

Apache Kafka vs MuleSoft Anypoint Platform

Compared 9% of the time

MuleSoft Composer vs MuleSoft Anypoint Platform

Compared 6% of the time

Microsoft Azure Logic Apps vs MuleSoft Anypoint Platform

Compared 5% of the time

SAP Process Orchestration vs MuleSoft Anypoint Platform

Compared 3% of the time

More MuleSoft Anypoint Platform Competitors

Product Reports

Buyer's Guide

Azure Data Factory

September 2024

Download Azure Data Factory product report

Buyer's Guide

MuleSoft Anypoint Platform

August 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

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