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Palantir Platform

Palantir Technologies

Reviews from AWS customer

3 AWS reviews
  • 5 star
    0
  • 3
  • 3 star
    0
  • 2 star
    0
  • 1 star
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External reviews

17 reviews
from and

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4-star reviews ( Show all reviews )

    Rama Subba Reddy Thavva

A low-code/no-code platform with a user-friendly UI

  • September 04, 2024
  • Review from a verified AWS customer

What is our primary use case?

Our use cases are mostly related to data analytics. We are building some dashboards and ETL pipelines on the Palantir side. Palantir Foundry is a low-code/no-code platform with a user-friendly UI. It is better than Databricks, where you need to code. Palantir Foundry has better data lineage. However, Databricks also provides many features with Databricks Unity Catalog.

What is most valuable?

I like the data onboarding to Palantir Foundry and ETL creation.

What needs improvement?

The solution’s data security could be improved. We cannot use many Python packages with the solution. We were able to use only a few compatible Python packages.

For how long have I used the solution?

I have been using Palantir Foundry for six months.

What do I think about the stability of the solution?

I rate the solution’s stability a nine out of ten.

What do I think about the scalability of the solution?

We couldn't implement or use some of the latest functionalities, like Spark. Palantir Foundry is scalable, but it is costly compared to other cloud providers. The solution is more suitable for small and medium businesses. It might be difficult for large enterprises.

I rate the solution’s scalability a seven out of ten.

How was the initial setup?

The solution’s initial setup is simple compared to that of other tools.

What's my experience with pricing, setup cost, and licensing?

Palantir Foundry is an expensive solution. However, it works because we need to develop a little less compared to Databricks or any other environment.

Which other solutions did I evaluate?

I prefer Palantir Foundry for simple ETL pipelines because it is a low-code/no-code platform. I will choose Databricks for handling complex big data because it supports all the Python modules.

What other advice do I have?

We tried some machine learning algorithms with Palantir Foundry. Since some packages are unavailable, we have to do that specific work on the Azure environment. I would recommend the solution to other users, but they must evaluate data security concerns.

Overall, I rate the solution an eight out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)


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