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."I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"I like the basic features like the data-based pipelines."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"Data Factory's most valuable feature is Copy Activity."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"The most valuable features are data transformations."
"This is the easiest and best tool available."
"This is a good platform for designing, flowing out APIs, and then doing API-based integrations."
"The solution's market place for different kinds of integration platforms is the most valuable feature."
"Mule Anypoint Platform is our preferred platform for integration."
"The ability to define multi-tiered APIs and reuse them is a fantastic platform feature."
"Customers can make use of Runtime Fabric, an RTF environment."
"The most valuable feature of the solution is a huge list of available connectors for a lot of different platforms, which we can use very easily."
"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."
"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."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"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 pricing model should be more transparent and available online."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"The inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."
"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 high price of the product is an area of concern where improvements are required."
"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."
"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."
"The initial setup should be made easy and the documentation should have some guidance."
"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."
"The stability could be better."
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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