One of the leading European manufacturing plants uses Palantir Foundry for manufacturing interior parts of various car brands such as Honda, Hyundai, Ford, Mercedes-Benz, and BMW. This involves highly secured information that is not supposed to be shared with any competitors.
Palantir Platform
Palantir TechnologiesExternal reviews
15 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Finds security and customization features impressive, although cost concerns persist
What is our primary use case?
What is most valuable?
My experience with Palantir Foundry and Azure has been good. Palantir Foundry is costly, but Azure is open, which allows for easier experimentation. Being a closed product, Palantir Foundry is difficult to practice offline unless we have an enterprise edition. However, it is very secure compared to other platforms.
Palantir Foundry's best features include security, built-in features, low-code, no-code platform, and ease of use.
The collaborative workspaces within Palantir Foundry contribute to team efficiency and project outcomes through seamless operation. The ease of customization is particularly notable.
I have worked with the data lineage feature in Palantir Foundry, which comes by default. We simply need to tick the checkbox and make necessary configuration changes within the system itself. We do not need to procure another lineage platform as Palantir Foundry has its own built-in features for data lineage, data governance, and data security.
The lineage feature helps enhance our data management practices by allowing us to understand the origin of data, track all activities happening on the data, identify users and consumers, and monitor how it flows across the system. This makes it easier to generate reports based on the lineage database.
The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries. Using the AIP library within Palantir Foundry helps us develop quick resolutions for predictive models and analytics.
What needs improvement?
Apart from the pricing and offline availability issues, improvements are needed in Palantir Foundry's costing factor. Cost-wise, it is not open for everybody, and they are not exposing anything outside of the box.
The major hindrance with Palantir Foundry is that being a very closed product, the cost optimization and costing are not exposed to the end users. Apart from that, it is a very good tool and product.
What do I think about the stability of the solution?
In terms of stability and scalability, I have not faced any challenges. The scalability and scheduling capabilities are very good. Regarding performance, I have not experienced any stability, performance, or security issues.
How are customer service and support?
I haven't had the opportunity to discuss with Palantir Foundry technical support, but we were able to manage on our own. The documentation and technical support are very good.
How would you rate customer service and support?
Positive
What other advice do I have?
Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Microsoft Azure
A low-code/no-code platform with a user-friendly UI
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)
Palantir Foundry Review
What do you like best about the product?
The people made Palantir Foundry easy to work with and solve my technical difficulties.
What do you dislike about the product?
The website can become better optimized for easier information.
What problems is the product solving and how is that benefiting you?
Help build the backend for our Machine Learning platform implementation.
Make Your Data Asset With Palantir Foundry
What do you like best about the product?
The feature that impressed me about Palantir Foundry is its integration with our data and applications to provide us with in-depth and easy-to-explore analysis.
What do you dislike about the product?
I have no dislike about it. But initially, it needs some learning, and their features can be enhanced more.
What problems is the product solving and how is that benefiting you?
Palantir Foundry makes it easy for us to manage and make use of our data in a place. It gives us a clean user interface to view an overview of data. It also helps us to automate many works.
Palantir Foundry: The Data Platform for Better Decisions
What do you like best about the product?
We like Palantir Foundry because it's a platform for integrating data, providing insights, and automating workflows to help organizations make better decisions.
What do you dislike about the product?
Cost: Foundry is a subscription-based platform and it can be expensive
What problems is the product solving and how is that benefiting you?
Palantir Foundry can solve data silos, data quality, data security, data governance, compliance, fraud detection, risk management, operational efficiency, and customer intelligence problems.
great for semi-technical people
What do you like best about the product?
Foundry is great for people who are semi-technical but not full-on coders or data scientists. I think my favorite feature is that you can easily change columns -- the multi-column editor function is a lifesaver. You can also easily merge two different datasets.
What do you dislike about the product?
Palantir Foundry is pretty controversial at my company. The main qualm people have with it is that there is a learning curve, and that the visualizations are poor.
What problems is the product solving and how is that benefiting you?
Palantir Foundry allows for real-time collaborationthat lets you keep the same source of truth without duplicating underlying datasets, making it easier to organize and manage data.
Best AI software for private & public sectors
What do you like best about the product?
Protecting large volume of data in the institution
What do you dislike about the product?
instant support for quick problem solving is needed
What problems is the product solving and how is that benefiting you?
since we posses large volume of data, Palantir Foundry helps in managing it
Power User of Foundry
What do you like best about the product?
I like that through Contour, data manipulation becomes more accessible to people that are not comfortable writing code.
What do you dislike about the product?
The pivot functionality is awful. The fact that making any change immediately saves what you have done and you can’t back things out.
What problems is the product solving and how is that benefiting you?
I used Foundry to create all of the baseline reporting for our analytics platform as well as to create owner associate scorecards.
showing 1 - 8