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 can scale very easily."
"It is easy to deploy workflows and schedule jobs."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"Data Factory's most valuable feature is Copy Activity."
"I am one hundred percent happy with the stability."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The most valuable feature of this solution would be ease of use."
"The most valuable features are data transformations."
"The data lineage is great."
"It's scalable."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"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 virtualization tool is useful."
"The AI engine that comes with Palantir Foundry is quite interesting."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"There aren't many third-party extensions or plugins available in the solution."
"Lacks in-built streaming data processing."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"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."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
"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."
"The solution could use more online documentation for new users."
"There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers."
"Some error messages can be very cryptic."
"The frontend capabilities of Palantir Foundry could be improved."
"If you want to create new models on specific data sets, computing that is quite costly."
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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