I rate Palantir Foundry a ten out of ten. Overall, it's an excellent solution, and I recommend it. While I am building a business case to adopt Palantir Foundry, it's worth noting its partnership with Databricks. Our organization already has Databricks, and I hope we will get Palantir Foundry as well.
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.
Palantir Foundry has been very forthcoming, but we don't have a full picture of their roadmap and what it would be built upon. It's more of a partnership where we talk about our use cases, and their team comes and tells us about the features we can use. So, it is a work in progress. You can connect Palantir Foundry to various LLNs like Google Bard, Llama, or OpenAI. Overall, I rate the solution a six out of ten.
Palantir Foundry is a cloud-based solution. I would recommend Palantir Foundry to other users based on their use cases, the complexity, and the scale of the platform they're looking for. Palantir Foundry has all the right ingredients in terms of the overall data platform, but it depends on the kind of use cases that customers are looking at. Overall, I rate Palantir Foundry a seven to eight out of ten.
Data Engineer at a manufacturing company with 10,001+ employees
Real User
Nov 29, 2022
I would rate this solution as eight out of ten. My advice is to look at your use case and data. First, who is using the data? Is it a person in finance who doesn't know anything about IT? Is it a person with an IT background? You have to establish those things first. Is this to enable someone with a technical background or is this to enable someone with a non-technical background? Is the data structured or unstructured? What is it going to be used for? Palantir works best with structured data.
Associate Vice President at a insurance company with 10,001+ employees
Real User
Nov 29, 2022
We use Palantir for our data engineering tasks but when it comes to reporting, we mostly use third-party tools, not Palantir. If an organization currently has no tool set where data is centralized and where it takes a lot of time for business people to understand the data or use the data, then I think Palantir Foundry is a good solution. I think it's generally only suitable for mid-level companies and there would be some organizations where the cost might be prohibitive. For a small company, it would be very expensive to onboard a tool like Palantir. Given the above, I rate the solution seven out of 10.
If you plan to use this solution it's important to be aware of data engineering and data visualization concepts. I haven't had sufficient experience with this solution so for now I rate it six out of 10.
I rate Palantir Foundry five out of 10. I'm ambivalent. Palantir's support is excellent, and you can do a lot with it. On the other hand, it's not open. People who enjoy working on it will give it a 10. However, I'm focused on interoperability when I think of an EDC. There's no dynamic metadata export or visibility. If I want data lineage, I have to go project by project. If I run a command, it goes to GitHub and then executes the command to pull out a current state lineage. I have to export that and then bring that into my EDC.
Manager at a tech services company with 201-500 employees
Real User
May 23, 2021
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.
Palantir Foundry is an enterprise data management platform offering comprehensive tooling for working with big data. Because it is an operating system made for modern enterprises, it is highly available and a continuously updated platform. Palantir Foundry is a fully managed SaaS platform that spans from cloud hosting and data integration to flexible analytics, visualization, model-building, operational decision-making, and decision capture. It equips technical and non-technical users to...
Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.
I rate Palantir Foundry a ten out of ten. Overall, it's an excellent solution, and I recommend it. While I am building a business case to adopt Palantir Foundry, it's worth noting its partnership with Databricks. Our organization already has Databricks, and I hope we will get Palantir Foundry as well.
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.
Palantir Foundry has been very forthcoming, but we don't have a full picture of their roadmap and what it would be built upon. It's more of a partnership where we talk about our use cases, and their team comes and tells us about the features we can use. So, it is a work in progress. You can connect Palantir Foundry to various LLNs like Google Bard, Llama, or OpenAI. Overall, I rate the solution a six out of ten.
Palantir Foundry is a cloud-based solution. I would recommend Palantir Foundry to other users based on their use cases, the complexity, and the scale of the platform they're looking for. Palantir Foundry has all the right ingredients in terms of the overall data platform, but it depends on the kind of use cases that customers are looking at. Overall, I rate Palantir Foundry a seven to eight out of ten.
I would rate this solution as eight out of ten. My advice is to look at your use case and data. First, who is using the data? Is it a person in finance who doesn't know anything about IT? Is it a person with an IT background? You have to establish those things first. Is this to enable someone with a technical background or is this to enable someone with a non-technical background? Is the data structured or unstructured? What is it going to be used for? Palantir works best with structured data.
We use Palantir for our data engineering tasks but when it comes to reporting, we mostly use third-party tools, not Palantir. If an organization currently has no tool set where data is centralized and where it takes a lot of time for business people to understand the data or use the data, then I think Palantir Foundry is a good solution. I think it's generally only suitable for mid-level companies and there would be some organizations where the cost might be prohibitive. For a small company, it would be very expensive to onboard a tool like Palantir. Given the above, I rate the solution seven out of 10.
If you plan to use this solution it's important to be aware of data engineering and data visualization concepts. I haven't had sufficient experience with this solution so for now I rate it six out of 10.
I rate Palantir Foundry five out of 10. I'm ambivalent. Palantir's support is excellent, and you can do a lot with it. On the other hand, it's not open. People who enjoy working on it will give it a 10. However, I'm focused on interoperability when I think of an EDC. There's no dynamic metadata export or visibility. If I want data lineage, I have to go project by project. If I run a command, it goes to GitHub and then executes the command to pull out a current state lineage. I have to export that and then bring that into my EDC.
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.
I would rate this solution an eight out of ten.