We performed a comparison between Informatica Cloud Data Integration and Palantir Foundry based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"The data mapping capability is a valuable feature."
"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."
"Informatica Cloud Data Integration is stable."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"It is quite easy to use and flexible."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"It has become an easy way to exchange information through any cloud application."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"Great features available in one tool."
"Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The data lineage is great."
"It's scalable."
"The AI engine that comes with Palantir Foundry is quite interesting."
"The interface is really user-friendly."
"User/group administration could use improvement."
"The error information provided is not informative, as compared to Power Center."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
"A general improvement in icons and the virtual interface would be good."
"It could be improved by including a buffer that saves data when there is a connectivity issue."
"The price modeling could be more flexible."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"If you want to create new models on specific data sets, computing that is quite costly."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"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."
"Cost of this solution is quite high."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"Some error messages can be very cryptic."
"The frontend capabilities of Palantir Foundry could be improved."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
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Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews while Palantir Foundry is ranked 12th in Cloud Data Integration with 14 reviews. Informatica Cloud Data Integration is rated 7.8, while Palantir Foundry is rated 7.6. The top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". On the other hand, the top reviewer of Palantir Foundry writes "The data visualization is fantastic and the security is excellent". Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and IBM Cloud Pak for Data, whereas Palantir Foundry is most compared with Azure Data Factory, Palantir Gotham, SAP Data Services, AWS Glue and Denodo. See our Informatica Cloud Data Integration vs. Palantir Foundry report.
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