Scalix Prime vs Palantir Foundry
Scalix Prime is a graph-relational engine with a built-in ontology system, sub-microsecond traversals, SQL + Cypher in the same transaction, property-level RBAC at 11M ops/sec, a 27-widget low-code app builder, and a 4-agent intelligence system. Deploy on-premise or air-gapped — at a fraction of Foundry's cost.
| Feature | Scalix Prime | Palantir Foundry |
|---|---|---|
| Graph-relational unified kernel | C++20 native kernel | Integrated platform (semantic layer) |
| SQL + Cypher in same transaction | ✓ | Proprietary + Spark SQL |
| Sub-microsecond graph traversals | 0.18μs | Interactive (ontology); batch (analytics) |
| Built-in ontology with auto-evolution | ✓ | Manual config |
| Schema drift detection & alerting | ✓ | ✗ |
| Property-level RBAC (11M ops/sec) | ✓ | Role + attribute-based, row/column-level |
| Industry ontologies (HL7 FHIR, MITRE ATT&CK, STIX) | ✓ | Custom only |
| Code intelligence (12-phase, 6 languages) | ✓ | Basic (linter, impact analysis) |
| Low-code app builder (27 widget types) | Prime Workshop | Foundry Workshop |
| Multi-agent system (Scout, Analyst, Compliance) | ✓ | AIP Agents |
| REST API (26+ endpoints) | ✓ | ✓ |
| 5 deployment methods (Docker, K8s, Cloud Run, embedded, air-gapped) | ✓ | SaaS + on-prem (Apollo) |
| Air-gapped / offline deployment | ✓ | ✓ |
| Zero ETL (no data duplication) | ✓ | Virtual tables + compute pushdown |
| Hybrid search (BM25 + vector + graph) | ✓ | Vector embeddings (AIP) |
| MCP integration (12 tools + 3 resources) | ✓ | ✗ |
| Embeddable as library (pybind11) | ✓ | ✗ |
| Point-in-time recovery (PITR) | ✓ | Snapshots + versioning |
| Pricing model | 2-day trial, then contact sales | Typically $1M+/year (varies) |
Palantir Foundry requires $1M+/year commitments before you even see the product. Scalix Prime offers a 2-day hands-on trial so your team can evaluate the engine on real data before any commercial discussion.
Foundry is an integrated platform with a semantic layer over data stores. Scalix Prime is a purpose-built C++20 kernel where tables and graphs share memory — delivering 0.18μs 3-hop traversals with no middleware overhead.
Foundry requires manual ontology configuration. Scalix Prime's 5-stage evolution pipeline observes usage patterns, detects schema drift, and recommends improvements — with human approval before any change applies.
See how Scalix Prime can replace your Foundry deployment. Request a personalized demo.
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