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."The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The data copy template is a valuable feature."
"Allows more data between on-premises and cloud solutions"
"The solution can scale very easily."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"It's extremely consistent."
"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."
"I have found several things most valuable, including its very quick implementation that you can use a lot of out of the box templates, and lastly that it is a very mature product, especially in hybrid integration."
"The integration potential is excellent."
"The community manager is the standout feature of the Mule Anypoint Platform, as it provides a platform to showcase your API to external parties. It is exceptionally user-friendly and enables external parties to easily utilize and consume the APIs."
"This is the easiest and best tool available."
"API management."
"MuleSoft Anypoint Platform's most valuable features are its observability and stability."
"This is a good platform for designing, flowing out APIs, and then doing API-based integrations."
"Mule Anypoint Platform's valuable features are its flexibility in terms of deployment and its SaaS capabilities."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"Data Factory's performance during heavy data processing isn't great."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"Some known bugs and issues with Azure Data Factory could be rectified."
"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."
"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."
"An on-premise setup requires special skills and you need a lot of professional services."
"The high price of the product is an area of concern where improvements are required."
"The initial setup should be made easy and the documentation should have some guidance."
"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."
"The stability could be better."
"The pricing can be a little bit less."
"Mule Anypoint Platform is complex for beginners. Users without programming skills will find it complex. It should also improve its pricing."
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 40 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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