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 easy to deploy workflows and schedule jobs."
"Allows more data between on-premises and cloud solutions"
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"The most important feature is that it can help you do the multi-threading concepts."
"The initial setup is very quick and easy."
"The most valuable feature is the copy activity."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"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 solution offers very good end-to-end capabilities."
"The solution provides an end-to-end integrated tech stack that takes care of all utility/infrastructure topics for you."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"It's scalable."
"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's performance during heavy data processing isn't great."
"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."
"The initial setup is not very straightforward."
"Real-time replication is required, and this is not a simple task."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"We require Azure Data Factory to be able to connect to Google Analytics."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"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."
"Cost of this solution is quite high."
"Difficult to receive data from external sources."
"The workflow could be improved."
"The frontend capabilities of Palantir Foundry could be improved."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
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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