Palantir Gotham
Palantir Gotham is a software platform built to help organisations integrate large volumes of structured and unstructured data from many sources, and turn that into operational intelligence and actionable insight. It was originally designed for defence, intelligence, and law-enforcement operations, and now supports uses in other regulated environments such as healthcare, finance, and public infrastructure. Gotham enables users to ingest data from spreadsheets, databases, feeds, documents, images, or video; link “objects” such as people, places, events, and activities; run investigative workflows like network or geospatial analysis; and build a unified “single source of truth” data asset for decision-making. The platform emphasises high security, collaboration, auditability, and extensibility.
Key Features
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Data integration across many sources, including structured and unstructured formats.
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Investigative and analytic workflows including link/network analysis, geospatial analysis, object search, and call-detail record (CDR) investigations.
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Unified object model and ontology support so data can be represented consistently.
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High security and access-controls: encryption in transit and at rest, granular user/role controls, data provenance, audit logs.
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APIs and developer access: REST API, OAuth2 authentication, third-party application registration.
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Deployment flexibility and federation: supports federation of data sources, collaboration across organisations, and scenarios at the edge or in multi-classification environments.
Use Cases
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Defence and intelligence agencies are building intelligence-driven operations planning, mission execution, and after-action review.
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Law-enforcement investigations use network mapping, link analysis, and data fusion from many systems.
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Regulated enterprises (e.g., financial services, healthcare, utilities) require secure data collaboration, auditability, and actionable analytics across silos.
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Disaster response and large-scale operations where situational awareness, geospatial input, and real-time collaboration matter.
Pricing & Plans
Publicly available pricing for Palantir Gotham is not standardised and many details are subject to custom contract terms and enterprise procurement. Some sources estimate per-server-core or per-core pricing for certain licenses: for example, one listing indicates a “Perpetual License” at approximately US $147,324 per server core and a monthly cloud license approx US $7,366.20 per server core.
Given the customised nature of deployments (hardware, scale, support, environment, classification level), you should rely on a direct quotation from Palantir for accurate pricing.
Integrations & Compatibility
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REST API, OAuth2 authentication, and a developer interface for building applications on top of Gotham.
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Integration with existing systems, data sources, streaming feeds, and third-party applications with centralised management of authorisations.
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Compatible with geospatial, sensor, satellite, IoT, surveillance, and enterprise data sources from disciplined and non-disciplined systems.
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Supports ontology/semantic modelling via shared object types and integration with other Palantir platforms (e.g., Foundry) in organisations that deploy multiple Palantir products.
Pros & Cons
| Pros | Cons |
|---|---|
| Proven platform in high-stakes defence and intelligence use-cases | High cost and long procurement cycles for many organisations |
| Strong security, governance, and audit capabilities | Complexity and training overhead may be high for non-technical users |
| Rich set of analytic workflows (geospatial, network, object linkage) | Less visible focus on the lower-cost commercial SMB market compared to some competitors |
| Flexible integration with many data sources and federation across environments | Pricing transparency is limited and varies significantly across deployments |
Final Verdict
Palantir Gotham is a flagship platform for organisations that need to bring together disparate data, run mission-critical analytics, and maintain high standards of security and governance. If your organisation operates in regulated industries, government, defence, or large-scale operations where data integration, investigation, and collaboration are key, Gotham is a strong choice.
For smaller-scale analytics or less stringent environments, you may find more cost-effective or simpler alternatives. But for enterprise-grade intelligence, operations, and analytics at scale, Gotham offers a mature and broadly proven foundation.