Palantir Foundry Reviews

Name: Palantir Foundry
Brand: Palantir
Rating: 3.8 (16 reviews)

Vendor: Palantir

3.8 out of 5

16 reviews
87% willing to recommend

237 followers

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What is Palantir Foundry?

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 make data-driven operational decisions.

Get the Palantir Foundry Buyer's Guide and find out what your peers are saying about Palantir Foundry, Informatica Intelligent Data Management Cloud (IDMC), Azure Data Factory and more!

Palantir Foundry is the #1 ranked solution in top Supply Chain Analytics solutions, #1 ranked solution in top Data Management Platforms, #1 ranked solution in top Data and Analytics Service Providers, #3 ranked solution in top Data Migration Appliances, #8 ranked solution in top IT Operations Analytics solutions, #12 ranked solution in top Cloud Data Integration solutions, and #14 ranked solution in top Data Integration Tools. PeerSpot users give Palantir Foundry an average rating of 7.6 out of 10. Palantir Foundry is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Palantir Foundry vs Informatica Intelligent Data Management Cloud (IDMC). Palantir Foundry is popular among the large enterprise segment, accounting for 72% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a manufacturing company, accounting for 13% of all views.

Helped 849,686 peers since 2012

Featured Palantir Foundry reviews

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

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.

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Manilal Kasera

Senior Software Engineer at Tiger Analytics

The initial setup had a medium level of difficulty. If we go through the documentation, we can learn about what to do. In Palantir, they had a section called Academy, and that Academy was quite useful. If you go through that as a new user, it makes the process easier as you learn what to do. Initially, we didn't have many sources that would help us learn things, so we struggled a bit. In contrast, with Azure and Amazon Cloud, you have many sources from where you would be easily able to learn. You could just Google what you needed with them, as there's so much available documentation online. What was easy was the fact that everything was in one place. With AWS Cloud, there are many applications to support. You can use Glue or Athena, and you have all these other applications. However, with Palantir, everything is easy due to the fact that it is centralized. It's drag and drop and everything is very transparent.

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Tajinder_Singh

Senior Software Engineer at a computer software company with 201-500 employees

It doesn't have public documentation like AWS or Azure. For data modeling, there were tools like Object Explorer and front-end applications. I found it difficult. Even though I don't use it extensively for my project, it was difficult to understand the functionality of those apps. The ones that I used were normal data lineage code tools and had no data preparation. That said, for others, there was a slight application for a front end. It was a bit difficult. If Palantir can add more documentation to this part, including how to use it and how to create a simple application, it would be helpful. It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry. If that kind of capability was available there, it could be nice.

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Palantir Foundry mindshare

Product category:

As of May 2025, the mindshare of Palantir Foundry in the Data Integration category stands at 2.8%, up from 2.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Integration

PeerResearch reports based on Palantir Foundry reviews

Type	Title	Date
Category	Data Integration	May 1, 2025	Download
Product	Reviews, tips, and advice from real users	May 1, 2025	Download
Comparison	Palantir Foundry vs Azure Data Factory	May 1, 2025	Download
Comparison	Palantir Foundry vs Informatica PowerCenter	May 1, 2025	Download
Comparison	Palantir Foundry vs Informatica Intelligent Data Management Cloud (IDMC)	May 1, 2025	Download

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	3.9	4.4%	93%	182 interviews Add to research
Azure Data Factory	4.0	8.9%	92%	90 interviews Add to research

Valuable Features

Palantir Foundry excels in user-friendliness, delivering seamless data governance with row-level access control and extensive analysis capabilities. It integrates data ingestion, visualization, and pipelining while offering robust security and end-to-end functionalities. Its data lineage, virtualization, and real-time integration features provide excellent scalability and flexibility. The digital twin enterprise concept supports simulation and app development. Users appreciate the built-in automation, comprehensive tech stack, and support for various languages in a single platform.

"I rate Palantir Foundry a ten out of ten."
"I like the data onboarding to Palantir Foundry and ETL creation."
"The AI engine that comes with Palantir Foundry is quite interesting."

Room for Improvement

Palantir Foundry requires improvement in data hosting options, specifically in Europe, to better handle personally identifiable information. Users note issues with scalability and performance, particularly with large datasets, and express the need for more intuitive workflows and application development. Enhanced online documentation and clearer error messages would aid in understanding. Frontend capabilities, flexibility in using Python, and cost-effectiveness are areas for enhancement. Improved data lineage tracking and data security are also suggested.

"The startup pricing is high, causing concern despite being cost-effective in terms of total cost of ownership."
"The solution’s data security could be improved."
"The solution's visualization and analysis could be improved."

ROI

Users noted significant improvements in data analysis efficiency and decision-making processes thanks to Palantir Foundry. They experienced a higher return on investment through streamlined workflows and enhanced collaboration capabilities. Implementing Palantir Foundry led to cost savings and boosted productivity across multiple departments. Data integration capabilities allowed users to derive actionable insights quicker and more effectively, contributing to the overall financial gains and operational enhancements.

Pricing

Palantir Foundry is frequently described as expensive by users, with high initial costs that may be daunting. However, some note that it becomes more cost-effective, reducing development needs compared to other environments. Different pricing models exist, with contract negotiations for large enterprises and alternative options for startups. Additionally, its centralized and transformative capabilities make it a valuable investment despite the pricing concerns.

"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
"It's expensive."

Popular Use Cases

Palantir Foundry is primarily used for data engineering, machine learning, integration of various data sources, and creating ETL pipelines. Organizations utilize it for developing applications, performing analytics, calculating insurance premiums, conducting research projects, and supporting business users with self-service tools. It enables data storage, management, and visualization across multiple sectors, including utilities, healthcare, and government initiatives. Foundry facilitates easy data manipulation and reporting with its low-code/no-code platform and user-friendly interface.

Service and Support

Palantir Foundry's customer service and support generally receive positive feedback, with technical support described as responsive, knowledgeable, and attentive. They effectively integrate with their clients' operations and provide valuable assistance. Although knowledge articles could be more detailed, support is efficient, with most issues assigned via dedicated channels. Some find direct engineer interaction highly beneficial, despite the lack of a robust community for quick solutions. A few expressed a desire for improved customer support.

Deployment

Palantir Foundry's initial setup is cloud-based and generally simple. Some teams find it straightforward, completing it in hours, while larger enterprises experience a more extended process due to complex data needs, sometimes taking years. The setup's ease varies based on documentation use and prior knowledge, with tools like Academy aiding beginners. Although initial costs can be high, Foundry eventually reduces developer needs. Its centralized system aids non-technical users with drag-and-drop capabilities.

Scalability

Palantir Foundry is often scalable with effective bandwidth and setup but requires careful planning and can incur high costs due to its reliance on cloud resources. Its scalability is generally appreciated across different user environments, though complexities exist with data management and resource allocation. Foundry can be effective for various business sizes, but functionality utilization and cost can be limiting factors, especially for large enterprises.

Stability

Palantir Foundry is regarded as stable by many users, showing few bugs or glitches. Most describe it as reliable, rarely experiencing downtime. Some mention occasional performance issues, but they are resolved quickly. The platform effectively handles large datasets, using Spark to manage gigabytes to terabytes efficiently. While some users find the performance underwhelming compared to marketing claims, most rate stability highly, often giving it scores ranging from seven to nine out of ten.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Palantir Foundry Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Manufacturing Company

13%

Financial Services Firm

10%

Computer Software Company

10%

Government

Energy/Utilities Company

Insurance Company

University

Healthcare Company

Educational Organization

Real Estate/Law Firm

Construction Company

Pharma/Biotech Company

Retailer

Hospitality Company

Comms Service Provider

Non Profit

Transportation Company

Outsourcing Company

Aerospace/Defense Firm

Performing Arts

Media Company

Legal Firm

Wholesaler/Distributor

Renewables & Environment Company

Consumer Goods Company

Logistics Company

Recreational Facilities/Services Company

Compare Palantir Foundry with alternative products

Learn more about Palantir Foundry

Palantir Foundry includes tools to integrate data of any scale, format, or structure, and also has granular, flexible access controls for individual datasets. In addition, it has an open, modular architecture with multiple RESTful APIs, it has native applications for developing machine learning and artificial intelligence, it provides sophisticated data science applications for users of all technical abilities, and much more.

Palantir Foundry Features

The most valuable Palantir Foundry features include:

Security, flexibility, interoperability, easy deployment, built-in role classification, purpose-based access controls, interoperable architecture, model integration, AI modeling tools, ontology, custom workflows, team-specific applications, self-serve analytics, lineage system, operational application building, 200+ data connectors, data versioning, change management framework, sand decision orchestration, and custom dashboard and report building tools.

With Palantir Foundry You Can:

Accelerate development & operations
Collaborate globally
Save time on security
Reduce costs

Palantir Foundry Benefits

Some of the many Palantir Foundry benefits include:

Modular: Because Palantir Foundry is modular, it can integrate with existing infrastructure.
Granular governance: Robust data governance controls help ensure seamless compliance, auditability, and security.
Secure data sharing: The security infrastructure allows you to share data securely, within organizations and with chosen partners.
Rapid integration: Palantir Foundry can rapidly integrate models and data from data platforms into an operational ontology, and can also fuel existing data platforms.
Stand-alone deployment: Palantir Foundry can be deployed standalone and can provide all necessary capabilities for data connection, data integration, and model building.
Prevent lock-in: The data and model integration suites are designed to prevent lock-in, and assume that tools will be interoperating with Palantir Foundry as an organization grows.
No SQL necessary: Users do not have to use SQL queries or employ engineers to write strings in order to search petabytes of data. With Palantir Foundry, natural language is used to query data and results are returned in real-time.
Excellent data integration: Palantir Foundry provides secure, scalable, and resilient integration of all data sources.
Availability: The Palantir platform uses DNS routing, gateways and elastic load balancing to ensure availability. Dedicated accounts and virtual resources are used on a per customer basis.
Multiple metrics types: The Palantir platform provides hundreds of metrics. Some include average session length, drop-off rate, number of logins per user, number of accounts, and search speed.

Reviews from Real Users

PeerSpot users like Palantir Foundry because it has many advantages:

“It is user-friendly, good automation, and allows you to do a better job of data governance.” - Associate, Inhouse Consulting at a pharma/biotech company

“Works seamlessly with good end-to-end capabilities and the capability to scale.” - Wallace H., Sr. Director at a tech services company