Palantir Ontology
https://www.palantir.com/platforms/foundry/ontology/
Proprietary operational ontology — semantic objects + kinetic actions wired to microservices. Not open-standards KG; closed platform.
At a glance
- Type
- Operational digital twin
- Tier
- T1
- Section
- Knowledge-graph platforms
- Created
- 2003
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Enterprise only
- Funding
- $2.46B total over 18 rounds; IPO 2020 NYSE:PLTR
Taxonomy
- storage
- graph
- retrieval
- graph-traversal
- persistence
- long-term
- update
- overwrite
- unit
- fact
- governance
- auditable
- conflict
- branch-and-merge
When to use
Optimised for: relationship modeling + reasoning + governance over pure vector
Anti-fit: not for purely-vector or simple-RAG use cases (graph adds setup cost)
Pros & cons
Pros
Most aggressive enterprise data ontology + agent fusion in production; backed by deep enterprise consulting muscle.
Cons
Vendor lock-in is total; pricing is enterprise-tier; minimal applicability outside large enterprise / government deployments.
Claims & capabilities
Q3 2025 U.S. commercial revenue +121% YoY driven by AIP adoption; BP saved $1B via optimized oil/gas operations; Fortune 100 CPG firm projected $100M savings in year 1; CAZ Investments processed 100x more leads at 90% time reduction; AIP Bootcamps as primary onboarding
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Both
- Embedding model
- searched not found
- Multi-tenancy
- Foundry tenant per customer with strong ACL classification; zero-trust architecture; dedicated FedRAMP High enclave for federal workloads
- MCP
- no first-party MCP adapter published as of 2026-05; community connectors may exist.
- A2A
- no Google A2A (Agent2Agent) integration documented as of 2026-05.
- OpenTelemetry
- no first-party OpenTelemetry exporter documented; standard logs/metrics typically available.
Similar systems
Other knowledge-graph platforms in the catalog, ranked by inbound references.
- Neo4j T1
Property graph DB with Cypher; native vector search; Aura Agent + MCP server for graph-as-memory. $100M GenAI investment in 2025.
- Amazon Neptune Analytics T1
Vector index on graph nodes queryable via openCypher. Mem0 integration GA 2025; Cognee integration for agentic RAG. Combines semantic recall with multi-hop traversal in one managed service.
- AllegroGraph (Franz) T1
RDF triple/quad store with RDFS++ / OWL reasoning. v8.4 (May 2025) added an NLQ interface.
- Apache AGE T2
openCypher over Postgres. Pairs with pgvector for graph + vector hybrid retrieval. Azure Database for PostgreSQL ships AGE with ai_extension LLM functions for entity extraction directly in SQL.
- ArangoDB T1
HybridGraphRAG combines vector search, graph traversal, full-text in one AQL query. ArangoGraphML for ML pipelines; LangChain integration.
- Dgraph T2
Vector indexing on any node. Google Gen AI Toolbox integration; LangChain agent orchestration.