Palantir Foundry Reviews

This solution is used more for the analytics available on the platform.

The main use was for a COVID-19 White House initiative that was handled by the Vice President, Michael Pence.

It has been the platform for end to end data processing, manipulations, and reporting, greatly improved org's data reporting effort.

The solution offers very good end-to-end capabilities. 

It works very seamlessly. Behind the scenes, the workflow is pretty decent.

The stability is good.

The product can scale.

Technical support is very good.

The workflow could be improved. Although it works rather seamlessly, the workflow too complicated sometimes. Maybe they can reduce the complexity of the workflow. It could be more modularized in the future.

The performance of the engine could be better.

I've been using the solution for three years or so.

The solution is pretty stable. There are no bugs or glitches. However, the performance could be a bit better.

The solution can scale well. If a company needs to expand, it can do so pretty easily.

The solution has pretty good technical support. They are helpful and responsive and we have been satisfied with their services so far.

As implementors, we can deploy the solution for our clients. We don't need the assistance of consultants.

We're implementors.

There are still place the solution can have room to improve, we've been mostly quite happy with it. I would rate the product at a nine out of ten.

I'd advise a company considering the solution gets a technical consultant for the platform. They also have sales training on their website. The modules range from simple to complex. You can do some pretty good self-training with your team if you need to.  

We use this solution for everything, including sales. One of our use cases is performing machine learning to gives us an understanding of customer behavior, and which message should be used to target different customers.

The interface is really user-friendly.

This product allows you to do a better data governance job. For example, it will show you data along with information that explains what it is about and what columns it comes from. It will also allow you to give row-level access to different people, which is important in a corporate setting because restricting access to certain datasets is important.

The built-in automation makes tasks easier.

This solution allows you to do an extensive analysis that cannot be done on a personal computer, or even an on-premises server because of the computational effort that is required. It is enormous. 

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.

There are some issues with scalability because when we are using a really large dataset, the system is rather slow.

The performance can be improved. It would make our life a lot easier if it were as fast as Google Cloud. The GCP is unmatchable in terms of the speed at the moment.

From a user perspective, it would be nice to have a preview of what the data is looking like. As it is now, you can see the schema but not the actual data. For example, they can see the different columns but they don't know what's there. If they could inspect the first few hundred columns of data then they would have an idea of what they are dealing with.

I have been using Palantir Foundry for the past two years.

This solution is scalable to an extent. Because we have to rely on different cloud providers, the performance when scaling depends on your negotiations with the providers. If there is enough bandwidth then it works fine but if not, it tends to get quite slow at times.

Technical support is okay.

I would rate this solution an eight out of ten.