Palantir Platform

What do you like best about the product?

I like how Palantir Foundry brings data from different sources into one platform, making data management and analysis easier. It helps me track business performance and find useful insights without switching between multiple tools. Managing all the important data in one place instead of checking different files and sources separately is a major benefit, as it simplifies tracking performance and identifying issues. The platform makes it easier to prepare useful insights and make business decisions without doing everything manually, saving time and aiding in better decision-making for my daily work.

What do you dislike about the product?

I think the platform can be improved by making it easier to use for beginners, as some features may take time to understand. The interface could be a bit more simple, and tutorials or step-by-step guidance would be helpful. Also, data integration and loading large datasets should be smoother, so users can work without facing delays or any confusion.

What problems is the product solving and how is that benefiting you?

Palantir Foundry organizes vast data from various sources in one platform, making tracking, analysis, and insights easier and more efficient. This aids in better decision-making by simplifying performance tracking and pattern identification.

What do you like best about the product?

What I liked most about Palantir Foundry was how it let me connect supplier performance with inventory and order fulfilment data in one place. While supporting a supply chain benchmarking project, I used it to compare warehouse performance across different locations by looking at stockout rates, average supplier lead times, and on-time delivery rates. Having all of these metrics together made it much easier to spot patterns and understand which sites were struggling with recurring inventory and supplier side issues.

What do you dislike about the product?

One thing I found frustrating about Palantir Foundry was that comparing warehouse performance wasn’t always straightforward, especially when different locations tracked the same metric in different ways. Early comparisons could be misleading, so before drawing any conclusions I often had to double check the metric definitions and confirm exactly how the numbers were calculated.

What problems is the product solving and how is that benefiting you?

Palantir Foundry helped me investigate the factors contributing to higher supply chain costs across different locations. While supporting a project, I analysed warehouse activity, inventory movement, and fulfilment performance to identify operational patterns that might be driving up costs. This work helped me pinpoint areas that needed deeper investigation and develop targeted recommendations to improve cost efficiency.

What do you like best about the product?

What I like most about Palantir Foundry is how it brings different operational datasets together in one place and makes them easier to work with. For cloud planning, that is useful when looking at capacity, demand, and site-level information from different sources. I also like being able to trace the data back to its source and quickly move from raw information to analysis without having to maintain multiple disconnected workflows.

What do you dislike about the product?

The least helpful part for me is that getting a planning view can depend heavily on how the underlying Ontology has been modeled. For example, when I'm trying to compare capacity requirements with site readiness and reservation information, the analysis is straightforward if those relationships are already defined well. If they aren't, I can end up spending more time figuring out how the objects and relationships are structured or working around the model then actually analyzing the planning data.

What problems is the product solving and how is that benefiting you?

One problem it helps us address is bringing different pieces of cloud planning information together when we need to assess capacity and site readiness. Instead of manually reconciling separate datasets for demand, available capacity, reservations, and readiness dates. Foundry gives us a way to work with those relationships in a more connected view.

What do you like best about the product?

I like Palantir Foundry's easier graphical user interface, which makes it simple to use. Plus, it's easy to code with plenty of libraries available. The training material online, as well as the Palantir forum, is good for solving problems we encounter. I also find the pipeline builder to be the most valuable tool for me, making our repetitive tasks easier and saving a lot of project man hours organization-wide.

What do you dislike about the product?

There are issues like the database issue which needs to be addressed. Also, we have to manually provide access to files and coordinate between departments, which can be cumbersome. It would be great to have a portal or application with a proper workflow, or at least the option to design that workflow ourselves.

What problems is the product solving and how is that benefiting you?

Palantir Foundry makes our repetitive tasks easier and saves project man hours across the organization.

What do you like best about the product?

I really like the most is how the Ontology feature lets us map out all our disconnected raw data streams into actual physical business objects that our operations team can easily understand. I rely on the Contour tool constantly to visually explore millions of rows of historical data without having to write complex SQL queries from scratch every single time. The pipeline builder interface is surprisingly intuitive for connecting different sources once you see how the logic flows together. An unexpected benefit was discovering the incredibly detailed data lineage tracking, which honestly saved me hours of debugging by showing me exactly where a broken metric originated from upstream.

What do you dislike about the product?

The initial learning curve for wrapping your head around their specific terminology and data mapping logic was honestly pretty overwhelming when I first started during onboarding. It definitely takes some serious hands-on practice reading through the documentation to figure out exactly how to structure the backend data models correctly so your frontend dashboards actually load fast.

What problems is the product solving and how is that benefiting you?

Before bringing this platform in, we were literally wasting weeks trying to manually combine exports from completely disconnected legacy systems just to answer basic supply chain questions. Now our entire operations group can log into the exact same workspace to see live metrics, which has totally stopped the endless email chains arguing about whose spreadsheet is actually accurate. Our data engineers collaborate a lot smoother with the business analysts now because everyone is building off the exact same trusted baseline data. It easily saves us countless hours of tedious manual data wrangling every single month and helps our leadership make critical operational decisions much faster.

What do you like best about the product?

I love how Foundry consolidates data from various sources into one platform and simplifies cleansing, transforming, and analyzing that data. For reporting purposes, I love having my data pipeline and analysis all in one place. It saves me time hopping between tools. I also love being able to analyze large data sets without having to rely on multiple tools.

What do you dislike about the product?

The learning curve can sometimes be steep. There are so many bells and whistles and concepts you have to know.

What problems is the product solving and how is that benefiting you?

We use Foundry to consolidate data from different sources, prep it for analysis, and create more consistent data sets for reporting. Previously we spent a lot of time manually merging and validating data. Foundry has allowed us to eliminate a lot of that manual effort and track data back to its source. Personally it's allowed me to focus less on data prep and more time analyzing and doing actual business reporting.

What do you like best about the product?

I work with datasets, transformations, and pipeline dependencies most in Foundry. What I use daily is lineage. If one of my upstream datasets changes or a transformation is outputting something unexpected, I can see where my data is coming from and which jobs downstream are using it rather than manually inspecting each pipeline.

What do you dislike about the product?

The main struggle I initially faced was the learning curve. I had familiarity with SQL, Spark, and how data workflows are generally handled in the cloud. But Foundry has unique ways of handling projects, datasets, and transformations.

What problems is the product solving and how is that benefiting you?

Having visibility into complex data pipelines. Before Foundry, if something broke downstream, you could spend days debugging what change happened upstream. With Foundry, I can click through the dependency chain, view the dataset, and pinpoint the problem a lot quicker. Other engineers can also see the full pipeline structure instead of relying on tribal knowledge.

What do you like best about the product?

Foundry simplifies the process of consolidating data from our various financial and operational systems, ensuring that analysis doesn't feel fragmented or incomplete. It makes it very easy to link any figure used for budgeting, variance analysis, or management reporting back to its source. Creating reusable workflows is particularly helpful when you need to update the same reports every month.

What do you dislike about the product?

It was a bit challenging to learn at first.

What problems is the product solving and how is that benefiting you?

It reduces the time spent consolidating financial information from multiple sources prior to analysis. I can now work with more standardized datasets for budgeting, performance reviews, and risk assessments, rather than relying heavily on manually created spreadsheets. Reporting is more accurate, giving you more time to add value through actual analysis and decision-making.

What do you like best about the product?

Out-of-the-box data connectors, low-code/no-code application builders such as Workshop, and integrated AI modules make it possible for non-technical business teams to create complex workflows without having to start from scratch. Speed and reliability was not an issue I believe for the company it was the cost

What do you dislike about the product?

Extreme Cost and Vendor Lock-In: Foundry is an expensive enterprise tool. Its pricing scales with compute and storage usage, which can make costs unpredictable.

What problems is the product solving and how is that benefiting you?

Instead of simply creating dashboards, Foundry connects physical assets, workflows, and business logic into an interactive model that represents the entire enterprise.

What do you like best about the product?

Opportunities are endless. Get a solid data foundation and then anything is possible. You get what you pay for. It's expensive, but great value.

What do you dislike about the product?

So many ways to do one thing and you really need governance to prevent it from getting out of hand.

What problems is the product solving and how is that benefiting you?

Bringing multiple data sources together and creating workflow off of it.