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Palantir AIP logo
Palantir AIP
Palantir Technologies
Palantir Foundry logo
Palantir Foundry
Palantir Technologies
Head-to-head in this comparison
Advantages
Can run on-premise
Vendor is publicly listed — audited financial disclosure
Only one here with Self-hosted
Free trial available
Can run on-premise
Vendor is publicly listed — audited financial disclosure
Largest vendor (42,000 employees)
Can run on-premise
Vendor is publicly listed — audited financial disclosure
Only one here with SOC 2, ISO 27001, HIPAA
Free trial available
Broadest feature coverage (9)
Drawbacks
No free trial
Lacks Single sign-on (SSO), Role-based access, Audit log +3 more — offered by others here
Narrowest feature scope (3)
No free trial
Lacks Workflow automation, Custom reports — offered by others here
Cloud only
Smallest vendor (4,000 employees) — check support capacity
Least established — vendor founded 2013
Editorial assessment
Strengths
Grounds LLM agents in governed enterprise data
Fine-grained security and access controls
Builds on the Foundry ontology for operational context
Optimized frameworks and microservices for NVIDIA GPUs
Enterprise support for open-source AI software stacks
Runs across public cloud, data center and edge
Ontology connects data to real-world operational objects
Strong data integration, lineage and access controls
Supports building operational apps on integrated data
Unified lakehouse for data engineering and AI
Built on open formats like Delta Lake and Spark
Strong collaborative notebooks and ML tooling
Considerations
Best suited to organizations already using Palantir
Enterprise-oriented pricing and engagement model
Requires platform expertise to build effectively
Value is tied to NVIDIA accelerated hardware
Subscription adds cost on top of infrastructure
Requires in-house ML and platform engineering skills
Typically requires significant investment and commitment
Proprietary platform can create vendor lock-in concerns
Learning curve for platform-specific tools
Usage-based costs can be hard to predict
Requires data engineering expertise
Cluster tuning and governance need attention
Product & company facts
Deloitte alliance ✓ ✓ ✓ ✓
Rating — — — —
Starting price Contact for quote Price not listed Contact for quote Price not listed
Pricing model Quote-based Subscription Quote-based Usage-based
Free plan ✕ ✕ ✕ ✕
Free trial ✕ ✓ ✕ ✓
Open source ✕ ✕ ✕ ✕
Deployment Cloud (SaaS), On-premise, Hybrid Cloud (SaaS), On-premise, Hybrid Cloud (SaaS), On-premise, Hybrid Cloud (SaaS)
Platforms Web Linux Web Web
Turkish interface ✕ ✕ ✕ ✕
Target size Enterprise Enterprise Enterprise Mid-market, Enterprise
Industries served Government & public sector, Manufacturing & industrial, Healthcare, Energy, resources & utilities, Banking & capital markets, Automotive Technology, media & telecom, Automotive, Healthcare, Manufacturing & industrial, Cross-industry Government & public sector, Manufacturing & industrial, Healthcare, Energy, resources & utilities, Banking & capital markets, Automotive Banking & capital markets, Healthcare, Life sciences, Retail & consumer, Manufacturing & industrial, Cross-industry
Active users — — — —
Customers — — — —
Vendor employees 4,429 42,000 4,429 4,000
Headquarters Denver, US Santa Clara, US Denver, US San Francisco, CA, US
Founded 2003 1993 2003 2013
Categories AI & ML Platforms AI & ML Platforms Data Platforms & Warehousing, Data Integration & Management Data Platforms & Warehousing, AI & ML Platforms
Features
AI features ✓ ✓ ✓ ✓
Workflow automation ✓ — ✓ —
HIPAA — — — ✓
ISO 27001 — — — ✓
SOC 2 — — — ✓
Self-hosted — ✓ — —
API access ✓ ✓ ✓ ✓
Custom reports ✓ — ✓ —
Dashboards ✓ — ✓ ✓
Audit log ✓ — ✓ ✓
Role-based access ✓ — ✓ ✓
Single sign-on (SSO) ✓ — ✓ ✓

Feature marks are based on our curated data; “—” means not verified, not necessarily missing. Head-to-head points are derived from this data relative to the selected products; editorial points are curated summaries.

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