Best Review
What do you like best about the product?
I loved about how it's delivered it's most functional ways to create more obsessities its can be used to used on many things that related to many types of tasks.
What do you dislike about the product?
It's something of the functions are very pitty never had something like this before which has very different types of disadvantages unlike the other softwares.
What problems is the product solving and how is that benefiting you?
It's benefiting me with my business it's can be used to solved many financial and functional things that can be in many ways has solved the problems on my business.
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
Average, lacks a lot of features
What do you like best about the product?
The suggestion mechanism helps even the non-technical personnel in writing code with ease and the library support is pretty good. The user interface is also easy to navigate and very user-friendly.
What do you dislike about the product?
The analysis algorithm is not up to the mark as even with noise-free data it does not bring accuracy to the table. Another barrier I found was the data capacity as after a certain limit the software takes a large amount of time to execute and sometimes even fails in between.
What problems is the product solving and how is that benefiting you?
The software helps in the overall management of the data chunks fed, the analysis algorithm has also helped me to a certain extent and I am quite impressed with the security around data provided here.
Horrifyingly deficient product that actively hinders teams from democratizing data
What do you like best about the product?
From a security perspective, the ability to lock things down is robust, which can be good for companies with strict privacy/confidentiality concerns around data.
What do you dislike about the product?
Everything about the user experience is just baffling - navigating between simple things is confusing, unintuitive, and nearly incomprehensible. The learning curve is so steep that teams will never be able to truly democratize data across their organization, leaving teams unable to analyze even the most straightforward data. The environment is painful to extract and import data from, meaning your data engineers are frequently fighting fires.
What problems is the product solving and how is that benefiting you?
Theoretically this application is supposed to be for us to securely manage our big data and build applications on top of that, but honestly I don't see that we are accomplishing any of those goals with Foundry.
The option to switch languages is valuable but code templates are needed
What is our primary use case?
Our company uses the solution as a big data lake for storage and cherry-picking data sets using multiple languages. We create ETL pipelines, run them on a schedule, and export the data to visualize it.
We perform functional tests on the data sets using Excel in a Fusion Sheet. A schema is created that shows all data in columns and can be manipulated to extract meaningful information.
The Code Workbook is used to import data and write code using R, Python, Spark SQL, or PySpark. From there, you can perform calculations and create data sets.
Contour is the graphical user interface that gives us the available basic or automatic operations. You do not need a technical grasp because it is easy to use with knowledge of the basics and filters.
Across our company, there are 3,000 users who access our data lake.
What is most valuable?
The Code Workbook gives you the option to switch across built-in languages such as Spark SQL, PySpark, R, or Python.
Live video sessions enhance the available documentation and allow you to ask questions directly. There are a multitude of sessions within each framework that occur weekly. At the end of a session, you have the option to read other user's questions or ask questions yourself.
The GUI is easy to use and does not require advanced technical knowledge.
What needs improvement?
There is not a wide user base for the solution's online documentation so it is sometimes difficult to find answers. It is easy to find answers for code issues because Spark SQL and Python have wide user bases. There is a certain probability you won't find a solution-specific answer if you search for it. For example, there are certain errors that are specific to the solution. The more you use the solution, the more you understand it. The learning curve could be reduced with online documentation that includes the meaning of and troubleshooting for error codes.
Predefined code templates or informational prompts would help with writing syntaxes.
For how long have I used the solution?
I have been using the solution for fourteen months.
What do I think about the stability of the solution?
The solution is very stable. On occasion, we receive an error but it is rectified within a few hours.
What do I think about the scalability of the solution?
We create use cases that do not have processing limits. The solution is a big data tool so should handle any scalability.
How are customer service and support?
I have not needed technical support.
Which solution did I use previously and why did I switch?
I previously used Microsoft SQL which is a traditional database. The solution is an advancement because it is a direct jump to a big data source.
Comparing the solution to traditional databases is liking comparing an apple to a banana.
How was the initial setup?
A different team handles the solution and our data lake so I don't have knowledge of the setup. Our team accesses the solution via a web link and creates use cases.
What other advice do I have?
The solution has many features but I am only using the Code Workbook and Contour. Another feature called Slate allows you to create websites or record user data.
Based on my current usage, I rate the solution a seven out of ten.
State of the art data management
What do you like best about the product?
The interface looks great. A lot of information can be viewed, linked and stored. The data set protection (only post treating functions are editable) is a real plus !
What do you dislike about the product?
Maybe too « informatics » oriented yet. Applications can be very slow. Chart bars with 2 colors stripes cannot be displayed (which is a basic function of PowerPoint !)
What problems is the product solving and how is that benefiting you?
Big data analysis, producing indicators automatically and using applications to get datas (+searching)
Recommendations to others considering the product:
Make it available to all user (as excel), simple to use and develop applications.
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.
