Scalix Prime vs Neo4j
Scalix Prime unifies graph and relational in one C++20 kernel. SQL + Cypher in the same transaction, built-in ontology with auto-evolution, sub-microsecond traversals, property-level RBAC, zero ETL, a 27-widget low-code builder, and a 4-agent intelligence system — no separate relational database needed.
| Feature | Scalix Prime | Neo4j |
|---|---|---|
| Unified graph-relational kernel | ✓ | Graph only |
| SQL + Cypher in same transaction | ✓ | Cypher / GQL (no SQL) |
| Sub-microsecond graph traversals | 0.18μs | Sub-ms to milliseconds |
| Built-in ontology with auto-evolution | ✓ | ✗ |
| Schema drift detection | ✓ | ✗ |
| Industry ontologies (HL7 FHIR, MITRE ATT&CK) | ✓ | ✗ |
| Property-level RBAC | 11M ops/sec | Property-level (Enterprise) |
| Zero ETL (graph + relational, no duplication) | ✓ | ✗ |
| Code intelligence (12-phase, 6 languages) | ✓ | ✗ |
| Hybrid search (BM25 + vector + graph) | ✓ | Native vector search |
| Low-code app builder (27 widget types) | Prime Workshop | Bloom + NeoDash |
| Multi-agent system (Scout, Analyst, Compliance) | ✓ | ✗ |
| API (26+ endpoints) | REST API | Query API + Bolt protocol |
| 5 deployment methods (Docker, K8s, Cloud Run, embedded, air-gapped) | ✓ | Self-hosted or Aura |
| MCP integration | 12 tools + 3 resources | Official MCP server |
| Embeddable as library (pybind11) | ✓ | Embedded (Java) |
| Point-in-time recovery (PITR) | ✓ | Differential backup chains |
| Digital twin with write-through connectors | ✓ | ✗ |
Neo4j is graph-only — you still need a relational database for tabular workloads. Scalix Prime unifies both in one C++20 kernel. SQL and Cypher run in the same transaction over identical data, with zero ETL.
Neo4j has no schema management system. Scalix Prime's 5-stage ontology engine observes usage, detects schema drift (composite score 0.0-1.0), and recommends improvements — with pre-built HL7 FHIR, MITRE ATT&CK, and STIX 2.1 standards.
Both Neo4j and Scalix Prime offer property-level RBAC. Scalix Prime differentiates with 11 million permission checks per second — nurses see vitals but not psychiatric notes, traders see only their positions — with minimal latency overhead on every query.
See how Scalix Prime replaces your graph + relational stack with one platform.
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