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."The solution has a good interface and the integration with GitHub is very useful."
"The most important feature is that it can help you do the multi-threading concepts."
"We have found the bulk load feature very valuable."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"It makes it easy to collect data from different sources."
"It is a complete ETL Solution."
"The most valuable aspect is the copy capability."
"The most valuable features are data transformations."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The AI engine that comes with Palantir Foundry is quite interesting."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"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 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."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"The interface is really user-friendly."
"Data Factory's cost is too high."
"The pricing model should be more transparent and available online."
"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."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"The Microsoft documentation is too complicated."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"Cost of this solution is quite high."
"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."
"If you want to create new models on specific data sets, computing that is quite costly."
"Some error messages can be very cryptic."
"The workflow could be improved."
"The solution could use more online documentation for new users."
"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."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Palantir Foundry is ranked 11th in Data Integration with 14 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 Microsoft Azure Synapse Analytics, whereas Palantir Foundry is most compared with Palantir Gotham, SAP Data Services, AWS Glue, Denodo and Mule Anypoint Platform. See our Azure Data Factory vs. Palantir Foundry report.
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