We performed a comparison between Azure Data Factory and Mule 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."Its integrability with the rest of the activities on Azure is most valuable."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"I like the basic features like the data-based pipelines."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"The security of the agent that is installed on-premises is very good."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"An excellent tool for pipeline orchestration."
"The product’s ability to seamlessly translate protocols is great."
"When we talk about the APIs, there are multiple policies one can apply on APIs, like rate limiting policies, OWASP policies, and OWASP security policies, that can be easily configured in Mule Anypoint Platform."
"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."
"Mule Anypoint Platform is our preferred platform for integration."
"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."
"Mule Anypoint Platform's valuable features are its flexibility in terms of deployment and its SaaS capabilities."
"The ability to define multi-tiered APIs and reuse them is a fantastic platform feature."
"The exchange and API management features are the best in the market."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"The Microsoft documentation is too complicated."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"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."
"There aren't many third-party extensions or plugins available in the solution."
"The product could provide more ways to import and export data."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
"The platform's data integration tools need improvement on the processing side."
"It doesn't work well when you try using it for the processing layer."
"The terms of use and how it's priced has become very difficult to manage, which is forcing us to look for alternatives already - and we haven't even been using it for that long just yet."
"What I hear from my customers is that it's very expensive compared to the cost of other integration suites. The cost keeps increasing. MuleSoft should come up with customization factors by using a different way of getting the cost-related stuff to attract customers. That is, they should come up with some cost optimizations."
"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 solution's pricing model is very strange, and it will be really expensive if you use APIs a lot."
"It should give better control over account management."
"Although the solution's proxy design and process are good, it faces connecting issues because it lacks data integration."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Mule Anypoint Platform is ranked 2nd in Business-to-Business Middleware with 41 reviews. Azure Data Factory is rated 8.0, while Mule Anypoint Platform is rated 8.2. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Mule Anypoint Platform writes "Robust, reliable, and stable, ensuring high availability for critical integrations". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Mule Anypoint Platform is most compared with MuleSoft Composer, Microsoft Azure Logic Apps, Oracle Integration Cloud Service, SAP Process Orchestration and TIBCO BusinessWorks. See our Azure Data Factory vs. Mule Anypoint Platform report.
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