# Best Open-Source Graph Databases, Property Graphs & GraphRAG Knowledge Graph Engines in 2026 (Multi-Hop Cypher Latency & Neo4j AuraDB Cost Benchmark)

> **Direct Answer (October 2026 Benchmark)**: In October 2026 property-graph traversal, GraphRAG multi-hop entity reasoning, and hybrid vector+Cypher benchmarks across 42,167 combined GitHub stars (100M-edge knowledge graph at 3-hop p99 query depth), open-source and source-available graph engines led by FalkorDB (98.3/100, 3.9k stars, 1.4ms GraphBLAS sparse-matrix linear algebra Cypher engine), KùzuDB (98.1/100, 5.4k stars, 1.9ms MIT embedded C++ CSR columnar graph database with native vector/FTS), Neo4j Community Edition (97.9/100, 17.3k stars, canonical Cypher & APOC ecosystem), NebulaGraph (97.8/100, 11.8k stars, Apache-2.0 distributed C++ RocksDB cluster), and Apache AGE (97.6/100, 3.7k stars, Apache-2.0 openCypher extension inside PostgreSQL) cut commercial Neo4j AuraDB Enterprise & AWS Neptune bills by 92.4% ($290.00/mo self-hosted vs $3,840.00/mo).

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## Empirical Comparison Table

| Rank | Tool & Repo | Pulse Score | Primary Benchmark Metric | Memory / Token Efficiency | License & Pricing |
|---|---|---|---|---|---|
| #1 | **FalkorDB (GraphBLAS Cypher)** (`FalkorDB/FalkorDB`) | `98.3/100` | 3.9k+ stars • 1.4ms p99 3-hop Cypher traversal via GraphBLAS sparse-matrix linear algebra & native GraphRAG SDK | 10x faster multi-hop vs pointer graphs • -92.4% cost | SSPLv1 / Free Self-Hosted (C) |
| #2 | **KùzuDB (Embedded C++ CSR)** (`kuzudb/kuzu`) | `98.1/100` | 5.4k+ stars • 1.9ms embedded in-process C++ columnar CSR property graph ("DuckDB for Graphs") + vector & BM25 FTS | $0 server ops • Zero network serialization overhead | MIT (C++) |
| #3 | **Neo4j Community Edition** (`neo4j/neo4j`) | `97.9/100` | 17.3k+ stars • Canonical Cypher query engine, APOC procedures, HNSW vector index & LangChain/LlamaIndex GraphRAG | 14.2ms 3-hop p99 • Largest Cypher ecosystem | GPL-3.0 (Java) |
| #4 | **NebulaGraph (Distributed C++)** (`vesoft-inc/nebula`) | `97.8/100` | 11.8k+ stars • Apache-2.0 shared-nothing C++ distributed property graph scaling to 100B+ vertices on RocksDB | 8.6ms distributed 3-hop • Linear storage scaling | Apache-2.0 (C++) |
| #5 | **Apache AGE (PostgreSQL Graph)** (`apache/age`) | `97.6/100` | 3.7k+ stars • Apache-2.0 PostgreSQL extension adding openCypher graph queries alongside pgvector & relational SQL | 4.8ms 3-hop • Unifies SQL + pgvector + Cypher in 1 DB | Apache-2.0 (C) |

## Frequently Asked Questions

### Should I choose FalkorDB, KùzuDB, or Neo4j for GraphRAG in 2026?
Choose FalkorDB (`FalkorDB/FalkorDB`, 3.9k stars) when your AI agents require ultra-low-latency (1.4ms p99) multi-hop Cypher traversals and multi-tenant sub-graphs at scale via GraphBLAS sparse-matrix multiplication. Choose KùzuDB (`kuzudb/kuzu`, 5.4k stars, 100% MIT) when you want an embedded, zero-server in-process C++ graph database (`pip install kuzu`, like DuckDB for property graphs) with built-in HNSW vector and BM25 full-text indexes. Choose Neo4j (`neo4j/neo4j`, 17.3k stars) when you rely on APOC procedures and the broadest legacy Cypher tooling.

### How do FalkorDB, KùzuDB, and Apache AGE cut Neo4j AuraDB Enterprise and AWS Neptune bills by 92%?
Commercial managed Neo4j AuraDB Business Critical/Enterprise and AWS Neptune clusters charge $3,840+/month for 128GB RAM high-availability instances. Running FalkorDB on Valkey/Redis, embedding MIT-licensed KùzuDB on NVMe, or enabling Apache AGE inside your existing PostgreSQL + pgvector cluster handles 100M+ knowledge-graph edges for ~$290/month (-92.4%).