We performed a comparison between Azure Data Factory and Magic xpi Integration Platform based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"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."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"We have found the bulk load feature very valuable."
"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."
"The stability of the solution is OK."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The number of standard adaptors could be extended further."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"Azure Data Factory's pricing in terms of utilization could be improved."
"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 one element of the solution that we have used and could be improved is the user interface."
"There is no built-in pipeline exit activity when encountering an error."
"It is not performing well."
Earn 20 points
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Magic xpi Integration Platform is ranked 24th in Integration Platform as a Service (iPaaS). Azure Data Factory is rated 8.0, while Magic xpi Integration Platform is rated 3.0. 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 Magic xpi Integration Platform writes "A low-performing integration tool". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Magic xpi Integration Platform is most compared with Mule ESB.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.