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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
6.8
Azure Data Factory offers cost-effective, efficient data consolidation for actionable insights, saving time and resources compared to manual processes.
Sentiment score
6.2
MuleSoft Anypoint Platform offers ROI by reducing costs, increasing innovation, and leveraging APIs, 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
6.4
Azure Data Factory support is generally satisfactory, with responsive assistance, though some users report delays or costly consulting.
Sentiment score
6.6
MuleSoft Anypoint Platform offers responsive support, praised by premium users, though some find response times slow and use community resources.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
The technical support for Azure Data Factory is generally acceptable.
The support team is responsive and helpful.
The Salesforce team offers different levels of support.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory is highly scalable and flexible but has room for improvement with third-party integrations and large datasets.
Sentiment score
7.5
MuleSoft Anypoint Platform provides scalable cloud solutions, offering auto-scalability and varying costs, suitable for medium to large organizations.
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, with occasional issues in responsiveness and large dataset handling.
Sentiment score
7.7
MuleSoft Anypoint Platform is reliable, stable, with minimal issues, better on-prem scalability, handling low volumes well in large organizations.
The solution has a high level of stability, roughly a nine out of ten.
 

Room For Improvement

Azure Data Factory needs better integration, scheduling, support, AI features, and user interface improvements for efficient data management.
MuleSoft Anypoint Platform needs improvements in error handling, documentation, support, integration, AI, security, and interface for better performance.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
There is a problem with the integration with third-party solutions, particularly with SAP.
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.
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 offers competitive, flexible pricing based on usage, with costs integrating Azure services and varying significantly.
MuleSoft Anypoint Platform's pricing, though complex and costly, is justified by features but may deter smaller organizations.
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 excels in data integration with user-friendly features, scalability, and over 100 connectors for seamless data movement.
MuleSoft Anypoint Platform excels in API management, hybrid integrations, and offers versatile deployment with strong monitoring and user-friendly interface.
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.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
It connects to different sources out-of-the-box, making integration much easier.
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
6.9
Number of Reviews
92
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
MuleSoft Anypoint Platform
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
59
Ranking in other categories
Message Queue (MQ) Software (4th), 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 5.6%, down 11.6% compared to last year.
MuleSoft Anypoint Platform, on the other hand, focuses on Business-to-Business Middleware, holds 10.4% mindshare, down 14.2% since last year.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.6%
Informatica PowerCenter6.3%
SSIS5.9%
Other82.2%
Data Integration
Business-to-Business Middleware Market Share Distribution
ProductMarket Share (%)
MuleSoft Anypoint Platform10.4%
IBM Sterling B2B Integration Services15.4%
webMethods.io11.7%
Other62.5%
Business-to-Business Middleware
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
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.
Mohan BS - PeerSpot reviewer
A useful tool to integrate applications and for data transformations that need to improve in the area of price and support
The main area where improvements are required in the product revolves around budgeting. The cost of the product is an area of concern where improvements are required, especially when compared to other tools, like Dell Boomi or Oracle. Mule Anypoint Platform is made available with many components, and whether users use them or not depends on their choices. For example, though there is a tool called Anypoint MQ, our organization prefers to pay and use Kafka, as we don't want to use MuleSoft Anypoint MQ. In Mule Anypoint Platform, there needs to be proper segregation to help users identify what they need and don't need, making it an area where users need to be careful when opting for MuleSoft. Mule Anypoint Platform is an integration tool and not an ETL solution. When a user has to deal with a huge number of data, then Mule Anypoint Platform should not be a preferred choice since it can only be used for lightweight purposes revolving around APIs. There is a need to have a clear architectural decision made before opting for Mule Anypoint Platform. When there is a requirement for heavy data transformation, then users need to decide whether to go with Mule Anypoint Platform or any other platform available in the market. Though the tool comes with many useful components, it depends on whether the user plans to use all of its features. Recently, the product has come up with a new feature that is similar to an API catalog. MuleSoft had come up with the UAPIM feature almost eight months to a year ago, which had some concerns in the area of budgeting. Whether you build APIs using Javacore or any other tools, they can be cataloged using MuleSoft's UAPIM feature, for which users need to pay an extra amount, making it an area of concern for users. It would be great if MuleSoft's support team could provide help with the area of Kubernetes.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
Computer Software Company
14%
Financial Services Firm
13%
Manufacturing Company
10%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise18
Large Enterprise55
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise29
 

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.
866,744 professionals have used our research since 2012.