We performed a comparison between Azure Data Factory and Palantir Foundry 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."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."
"We haven't had any issues connecting it to other products."
"We have found the bulk load feature very valuable."
"The security of the agent that is installed on-premises is very good."
"The flexibility that Azure Data Factory offers is great."
"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"An excellent tool for pipeline orchestration."
"It is easy to integrate."
"The ease of use is my favorite feature. We're able to build different models and projects or combine different projects to build one use case."
"The interface is really user-friendly."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"The virtualization tool is useful."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The data lineage is great."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The security is also excellent. It's highly granular, so the admins have a high degree of control, and there are many levels of security. That worked well. You won't have an EDC unless you put everything onto the platform because it is its own isolated thing."
"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."
"The Microsoft documentation is too complicated."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"It would be better if it had machine learning capabilities."
"The number of standard adaptors could be extended further."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"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 solution could use more online documentation for new users."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"If you want to create new models on specific data sets, computing that is quite costly."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"The workflow could be improved."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Difficult to receive data from external sources."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Palantir Foundry is ranked 11th in Data Integration with 13 reviews. Azure Data Factory is rated 8.0, while Palantir Foundry is rated 7.6. 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 Palantir Foundry writes "The data visualization is fantastic and the security is excellent". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Oracle Data Integrator (ODI), whereas Palantir Foundry is most compared with Palantir Gotham, SAP Data Services, AWS Glue, Alteryx Designer and Denodo. See our Azure Data Factory vs. Palantir Foundry report.
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