"In terms of my personal experience, it works fine."
"Its integrability with the rest of the activities on Azure is most valuable."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The most valuable features are data transformations."
"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."
"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."
"The flexibility that Azure Data Factory offers is great."
"It's extremely consistent."
"The solution offers very good end-to-end capabilities."
"The interface is really user-friendly."
"We have experienced some issues with the integration. This is an area that needs improvement."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"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."
"It can improve from the perspective of active logging. It can provide active logging information."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"The solution needs to be more connectable to its own services."
"It would be better if it had machine learning capabilities."
"The setup and configuration process could be simplified."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"The workflow could be improved."
Azure Data Factory is ranked 2nd in Data Integration Tools with 22 reviews while Palantir Foundry is ranked 15th in Data Integration Tools with 2 reviews. Azure Data Factory is rated 7.6, while Palantir Foundry is rated 8.6. The top reviewer of Azure Data Factory writes "Easy to bring in outside capabilities, flexible, and works well". On the other hand, the top reviewer of Palantir Foundry writes "User-friendly, good automation, and allows you to do a better job of data governance". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Talend Open Studio, Alteryx Designer and Denodo, whereas Palantir Foundry is most compared with Palantir Gotham, Alteryx Designer, SAP Data Services, C3 Point Of Sale and SAP Data Hub. See our Azure Data Factory vs. Palantir Foundry report.
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