G2

Arpit A.

Supply Chain Analyst — Microsoft Cloud Planning (MCP)

Enterprise (> 1000 emp.)

10/6/2026

"Palantir Foundry Unifies Operational Data for Faster, Traceable Analysis"

4.5/5

What do you like best about Palantir Foundry?

What I like most about Palantir Foundry is how it brings different operational datasets together in one place and makes them easier to work with. For cloud planning, that is useful when looking at capacity, demand, and site-level information from different sources. I also like being able to trace the data back to its source and quickly move from raw information to analysis without having to maintain multiple disconnected workflows. Review collected by and hosted on G2.com.

What do you dislike about Palantir Foundry?

The least helpful part for me is that getting a planning view can depend heavily on how the underlying Ontology has been modeled. For example, when I'm trying to compare capacity requirements with site readiness and reservation information, the analysis is straightforward if those relationships are already defined well. If they aren't, I can end up spending more time figuring out how the objects and relationships are structured or working around the model then actually analyzing the planning data. Review collected by and hosted on G2.com.

What problems is Palantir Foundry solving and how is that benefiting you?

One problem it helps us address is bringing different pieces of cloud planning information together when we need to assess capacity and site readiness. Instead of manually reconciling separate datasets for demand, available capacity, reservations, and readiness dates. Foundry gives us a way to work with those relationships in a more connected view. Review collected by and hosted on G2.com.