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."The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"We have been using drivers to connect to various data sets and consume data."
"We have found the bulk load feature very valuable."
"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."
"It's extremely consistent."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"The security of the agent that is installed on-premises is very good."
"The stability of the solution is OK."
"The solution needs to be more connectable to its own services."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"Some of the optimization techniques are not scalable."
"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."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Azure Data Factory's pricing in terms of utilization could be improved."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"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 23rd 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.
