Neo4j vs Stardog

Neo4j vs Stardog: side-by-side comparison of two knowledge-graph platforms systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.

Neo4j · Stardog

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Cost & capability

Neo4jStardog
Cost tierfree—
$/Mtok input0—
$/Mtok output0—

Where they differ (10)

Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.

Neo4jStardog
TypeProperty graph + vectors + Aura AgentRDF semantic platform + Voicebox AI
Created2024-122010
PricingFree + paidStardog Free (renewable 1-year license, commercial use allowed, no HA/caching/backups); Enterprise on-prem and cloud quote-based
Funding$325M total $2.0B val Series F · 2021-06$32M Series C (last known) · 2022-01
Backend storagecustom (native graph store)custom (RDF triple store)
DeploymentBoth (self-hosted + managed cloud) — Community/Enterprise self-managed; Neo4j Aura cloudBoth
API surfaceBolt, REST, GraphQL, Cypher, SDK: manyREST, SPARQL, SDK: Java, Python, JS
Multi-tenancyAuraDB Virtual Dedicated Cloud / AuraDS Enterprise: dedicated AWS/Azure/GCP account/subscription/project per customer; PrivateLink supportedPer-database access control; on-prem / private-cloud / SaaS options
MCPyes — official neo4j/mcp (product team); Neo4j Labs also ships neo4j-contrib/mcp-neo4jyes — official Stardog Cloud MCP server (stardog-union/stardog-cloud-mcp; remote setup in beta)
OpenTelemetryfirst-class — Neo4j metrics + OTelfirst-class — Prometheus + OTel

At a glance

Neo4jStardog
SectionKnowledge-graph platforms Knowledge-graph platforms
TierT1 T1
TypeProperty graph + vectors + Aura Agent RDF semantic platform + Voicebox AI
Created2024-12 2010
Latest release2026.07 CalVer series (current default branch; exact patch and date not captured) —
LicenseGPL-3.0 (Community Edition); Enterprise Edition proprietary —
GitHubneo4j/neo4j — ~17.2k stars, active (default branch 2026.07) —
PricingFree + paid Stardog Free (renewable 1-year license, commercial use allowed, no HA/caching/backups); Enterprise on-prem and cloud quote-based
Funding$325M total $2.0B val Series F · 2021-06 $32M Series C (last known) · 2022-01
Backend storagecustom (native graph store) custom (RDF triple store)
DeploymentBoth (self-hosted + managed cloud) — Community/Enterprise self-managed; Neo4j Aura cloud Both
API surfaceBolt, REST, GraphQL, Cypher, SDK: many REST, SPARQL, SDK: Java, Python, JS
EmbeddingBYO BYO
Multi-tenancyAuraDB Virtual Dedicated Cloud / AuraDS Enterprise: dedicated AWS/Azure/GCP account/subscription/project per customer; PrivateLink supported Per-database access control; on-prem / private-cloud / SaaS options
MCPyes — official neo4j/mcp (product team); Neo4j Labs also ships neo4j-contrib/mcp-neo4j yes — official Stardog Cloud MCP server (stardog-union/stardog-cloud-mcp; remote setup in beta)
A2Ano Google A2A (Agent2Agent) integration documented as of 2026-05. no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetryfirst-class — Neo4j metrics + OTel first-class — Prometheus + OTel
Optimised forrelationship modeling + reasoning + governance over pure vector relationship modeling + reasoning + governance over pure vector
Anti-fitnot for purely-vector or simple-RAG use cases (graph adds setup cost) not for purely-vector or simple-RAG use cases (graph adds setup cost)

Pros & cons

Neo4j

Pros: Largest graph database community by orders of magnitude; Cypher is the de-facto graph query language; strong native AI/RAG integrations.

Cons: Property-graph model can be awkward for RDF/semantic-web workloads; clustering and scale-out can get expensive.

Stardog

Pros: Mature semantic graph + virtualization (data fabric over relational/cloud sources); strong inference rules engine.

Cons: Enterprise-tier pricing and complexity; smaller community than Neo4j; license shifted to Stardog Studio commercial focus.

Rows last verified 2026-10-26 / 2026-10-27. Data is CC-BY-4.0 — see how to read this.