Palantir Platform

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?

The best thing about Palantir foundry how it brings data, operational workflow altogether in one platform. It makes it very easier to work with data from multiple different sources and turn it into something useful without continuously switching between different different tools.

What do you dislike about the product?

One thing that I dislike is that Palantir foundry can have a difficult learning curve specially for those people who are not very familiar with data platforms. For example, understanding how does the different data sets, pipelines and workflows connect can feel challenging in the beginning

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

The biggest challenge it solves for me is that the data spread across different systems and platforms, instead of manually cleaning and combining data, it helps to provide a centralised environment to manage and analize it. The biggest benefit is having visibility into the data and being able to turn it into actionable insights more efficiently

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.

What do you like best about the product?

Palantir Foundry excels at transforming messy, fragmented enterprise data into a unified “digital twin” (Ontology) that links raw data directly to real-time operational workflows.

What do you dislike about the product?

High complexity and a steep learning curve: it requires significant specialized training, which makes onboarding non-technical users difficult and slow. The cost is also prohibitive.

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

Core Benefit: It enables real-time, data-driven decision-making and supports automated workflows for both non-technical and technical teams.

What do you like best about the product?

What I like most about Palantir Foundry is how it brings together data integration, analytics, and operational workflows into a single platform. It helps turn data into actionable decisions by connecting models to real-world business entities and relationships, which makes complex data easier to understand and use. Sometimes the cost feels like too much, but I still think it’s a worthwhile investment. The efficiency, along with collaboration through other APIs, makes it worth it, and the interface is also good to work with.

What do you dislike about the product?

One challenge with Palantir Foundry is that it’s an extremely powerful platform, and that power comes with a steep learning curve. Understanding concepts like the ontology, data pipelines, and the broader ecosystem can take time for new users to grasp.

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

That means I can spend less time finding, cleaning, and reconciling data, and more time solving business problems. It helps organizations make faster, more informed decisions, and as someone who enjoys working with data to drive outcomes, I really appreciate that.

What do you like best about the product?

What I like most is how Palantir Foundry brings data from different sources into one platform, making it easier to analyze data, collaborate, and build workflows.

What do you dislike about the product?

The learning curve is steep, and some features can feel complex for new users.

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

Palantir Foundry helps centralize data from multiple sources, streamline data analysis, and improve collaboration for better decision-making.