Palantir Ontology

https://www.palantir.com/docs/foundry/ontology/overview

Proprietary operational ontology — semantic objects + kinetic actions wired to microservices. Not open-standards KG; closed platform.

Active · Verified 2026-10-29 · fresh as of 2026-10-29 · 44 cited facts, 4 with a third-party source · 2 recorded changes · Suggest a correction

At a glance

Tier
T1
Created
2003 third-party fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Pricing
Enterprise only vendor fix
Freshness
2026-10-29 fix
Layer
model-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
platform vendor fix
SDK languages
java, python, typescript vendor fix
Protocols
mcp-server vendor fix

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
REST (Foundry platform APIs), Ontology SDK: TypeScript, Python, Java; WebSocket Ontology subscriptions
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
yes — Ontology MCP (exposes Ontology to external agents) and Palantir MCP (palantir/palantir-mcp)
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.

  • FalkorDB T2

    Native GraphRAG SDK. Graph-memory backend for Mem0; MCP server via Graphiti integration; context graphs for long-term agent memory.

  • ArangoDB T1

    HybridGraphRAG combines vector search, graph traversal, full-text in one AQL query. ArangoGraphML for ML pipelines; LangChain integration. The company now brands itself Arango (Arango Contextual Data Platform unifying graph, vector, document and search), with ArangoDB as its database.

  • Kuzu T2

    Embedded property-graph database (Cypher) with a built-in vector index and full-text search, widely used as an embedded store for agent memory and GraphRAG. The kuzudb/kuzu repository was archived on 2025-10-10 after Apple acquired the company; 0.11.3 is the final release and earlier releases remain usable.

  • Memgraph T2

    In-memory GraphRAG engine. Memgraph 3.0 adds native vector search alongside graph traversal. LangChain toolkit.

Sources (43 cited facts, 4 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-29
    • Homepage “https://www.palantir.com/platforms/foundry/ontology/” → “https://www.palantir.com/docs/foundry/ontology/overview”
    #305
  2. 2026-10-27
    • MCP support first recorded as “yes — Ontology MCP (exposes Ontology to external agents) and Palantir MCP (palantir/palantir-mcp)” source
    #274