OSS graph database with Cypher query language. License: GPL-3.0 (OSI-approved but copyleft — embedding constraints apply). Companion to existing neo4j (Enterprise) row. Single-instance only; clustering and HA require Enterprise.
Neo4j Community Edition is the OSS Cypher-based graph database — GPL-3.0 license. Same engine as Neo4j Enterprise but without HA features (clustering, advanced security, hot backups). Pick CE for OSS graph workloads where GPL-3.0 is acceptable, single-instance is sufficient, and Cypher's native graph ergonomics are the primary value.
Neo4j Community's GPL-3.0 license is the load-bearing trust dimension: OSI-approved but copyleft. SaaS deployment that ships modified Neo4j over the network triggers obligations. For internal use, GPL is fine. The Community-vs-Enterprise feature gap is also trust-relevant: Community lacks clustering, RBAC granularity, and pgaudit-equivalent — for production multi-user deployments, Enterprise is typically required.
Sub-10ms p95 traversals. Native graph storage.
Cypher is the de facto graph query language.
Native RBAC; advanced security Enterprise-only. Cap rule applied.
Multi-cloud, multi-platform. Single-instance only on Community.
Property graph metadata + schema constraints.
Query plans + profile + system queries.
Limited Community RBAC. 1/6 -> 2.
Standard. 2/6 -> 3.
No clustering on Community.
Cypher + native semantic graph model.
5/6 -> 4.
Best suited for
Compliance certifications
Community GPL-3.0; Enterprise commercial; Aura DB managed signs BAAs.
Use with caution for
Enterprise for HA + advanced security. Community for OSS / dev / small-scale.
View analysis →AGE for PG-native simplicity. Neo4j for native Cypher.
View analysis →Role: L1 native graph DB with Cypher.
Upstream: Bolt protocol queries.
Downstream: Cypher results to clients.
Mitigation: Procurement review GPL. Use Enterprise commercial license or Aura DB managed for SaaS.
Mitigation: Use Enterprise for HA needs. Single-instance Community has no failover.
Community CE fits.
Enterprise or Aura DB fit.
This analysis is AI-generated using the INPACT and GOALS frameworks from "Trust Before Intelligence." Scores and assessments are algorithmic and may not reflect the vendor's complete capabilities. Always validate with your own evaluation.