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.
| Product | Market Share (%) |
|---|---|
| Palantir Foundry | 3.3% |
| Informatica PowerCenter | 8.1% |
| Azure Data Factory | 7.4% |
| Other | 81.2% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Integration | Aug 29, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 29, 2025 | Download |
| Comparison | Palantir Foundry vs Azure Data Factory | Aug 29, 2025 | Download |
| Comparison | Palantir Foundry vs SSIS | Aug 29, 2025 | Download |
| Comparison | Palantir Foundry vs Informatica PowerCenter | Aug 29, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Splunk Enterprise Security | 4.2 | N/A | 93% | 327 interviewsAdd to research |
| Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 4.3% | 93% | 186 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 318 |
| Midsize Enterprise | 197 |
| Large Enterprise | 1169 |
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:
Palantir Foundry Benefits
Some of the many Palantir Foundry benefits include:
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
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
| Author info | Rating | Review Summary |
|---|---|---|
| Enterprise Architect at a mining and metals company with 10,001+ employees | 5.0 | I use Palantir Foundry for developing a comprehensive business model in the utilities sector, leveraging its digital twin capabilities. While its features are valuable, the startup pricing is high, and improved marketing could enhance growth. |
| Architect at L&T Technology Services | 4.5 | I use Palantir Foundry in a European manufacturing plant for security in data management and predictive analytics, though its high cost and closed nature are drawbacks. Its integration with Azure enhances usability and experimentation. |
| Solution Architect at Mercedes-Benz AG | 4.0 | I primarily use Palantir Foundry for data analytics due to its low-code interface and excellent data lineage. While its data security and Python package support need improvement, I prefer it for simple tasks over Databricks, especially on AWS. |
| Senior Software Engineer at Tiger Analytics | 4.0 | We primarily used Palantir Foundry for data ingestion to calculate insurance premiums across various regions. Its standout feature is data lineage visibility, though at times it struggles with schema detection and lacks swift technical support, being costly as well. |
| Senior VP, Data & Analytics at Indium Software - Independent Software Testing Company | 3.5 | I am using Palantir Foundry for integrating hybrid cloud data from Azure and Amazon, providing a robust, scalable platform with strong real-time integration features. Despite its complexity and high pricing, it delivers excellent analytics capabilities to my US-based customer. |
| Senior Software Engineer at a computer software company with 201-500 employees | 3.5 | I use Palantir Foundry to build data pipelines and process data using Spark. The data lineage feature is valuable, but the lack of public documentation makes it difficult to understand some tools. Additional documentation would improve usability, similar to Azure functions. |
| Associate Vice President at a insurance company with 10,001+ employees | 3.5 | We use Palantir Foundry for data engineering and analysis, simplifying data processes in one tool, unlike when we needed multiple solutions. Although intuitive, data exporting needs improvement. Transitioning from KNIME reduced operational burdens, allowing us to focus on our work. |
| Data Scientist at a financial services firm with 10,001+ employees | 4.0 | Our company leverages Palantir Foundry to run PySpark scripts automatically, processing data efficiently within one platform and eliminating the need for multiple tools. However, cryptic error messages and limited developer insights into memory usage can be challenging. |
