Neo4j

https://neo4j.com/

Property graph DB with Cypher; native vector search; Aura Agent + MCP server for graph-as-memory. $100M GenAI investment in 2025.

Active · Verified 2026-10-26 · fresh as of 2026-10-26 · 83 cited facts, 6 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T1
Created
2024-12 vendor fix
Pricing
Free + paid vendor fix
Freshness
2026-10-26 fix
Layer
model-infra repo fix
Licensing
open-core vendor fix
Deployment locus
hybrid vendor fix
Platform vs product
platform vendor fix
Protocols
mcp-server repo fix

When to use

Optimised for: relationship modeling + reasoning + governance over pure vector

Anti-fit: not for purely-vector or simple-RAG use cases (graph adds setup cost)

Pros & cons

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.

Claims & capabilities

$200M ARR milestone (2024); $325M total funding at $2B valuation (Series F, June 2021); 2,000+ Neo4j jobs worldwide on LinkedIn; 843 in US; Fortune 500 customer base (Daimler, Dun & Bradstreet, EY, IBM, Merck); $100M GenAI investment in 2025; native Aura Agent + MCP server for graph-as-memory

Technical surface

API surface
Bolt, REST, GraphQL, Cypher, SDK: many
Backend storage
custom (native graph store)
Deployment
Both (self-hosted + managed cloud) — Community/Enterprise self-managed; Neo4j Aura cloud
Embedding model
BYO
Multi-tenancy
AuraDB Virtual Dedicated Cloud / AuraDS Enterprise: dedicated AWS/Azure/GCP account/subscription/project per customer; PrivateLink supported
MCP
yes — official neo4j/mcp (product team); Neo4j Labs also ships neo4j-contrib/mcp-neo4j
A2A
no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetry
first-class — Neo4j metrics + OTel

Compare Neo4j with…

Similar systems

Other knowledge-graph platforms in the catalog, ranked by inbound references.

  • Amazon Neptune Analytics T1

    Vector index on graph nodes queryable via openCypher. Mem0 integration GA 2025; Cognee integration for agentic RAG. Combines semantic recall with multi-hop traversal in one managed service.

  • FalkorDB T2

    Native GraphRAG SDK. Graph-memory backend for Mem0; MCP server via Graphiti integration; context graphs for long-term agent memory.

  • ArangoDB T1

    HybridGraphRAG combines vector search, graph traversal, full-text in one AQL query. ArangoGraphML for ML pipelines; LangChain integration. The company now brands itself Arango (Arango Contextual Data Platform unifying graph, vector, document and search), with ArangoDB as its database.

  • Kuzu T2

    Embedded property-graph database (Cypher) with a built-in vector index and full-text search, widely used as an embedded store for agent memory and GraphRAG. The kuzudb/kuzu repository was archived on 2025-10-10 after Apple acquired the company; 0.11.3 is the final release and earlier releases remain usable.

  • Memgraph T2

    In-memory GraphRAG engine. Memgraph 3.0 adds native vector search alongside graph traversal. LangChain toolkit.

  • Diffbot T1

    Auto-built knowledge graph from web crawl. 1T+ facts, 10B+ entities. GraphRAG-fine-tuned model based on open-source Llama 3.3.

Sources (82 cited facts, 6 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-26
    • License “MIT” → “GPL-3.0 (Community Edition); Enterprise Edition proprietary” source
    • Latest release “mcp-neo4j-cyphe… 2026-04-10” → “2026.07 CalVer series (current default branch; exact patch and date not captured)” source
    • Deployment “Both” → “Both (self-hosted + managed cloud) — Community/Enterprise self-managed; Neo4j Aura cloud” source
    • MCP support “via official adapter — neo4j-mcp” → “yes — official neo4j/mcp (product team); Neo4j Labs also ships neo4j-contrib/mcp-neo4j” source
    #258

Related systems

References (19)

  • Bedrock AgentCore (AWS) integrates with — Neo4j's GenAI ecosystem docs have a Bedrock AgentCore (AWS) integration page. (verified 2026-10-29)
  • Claude Agent SDK integrates with — Neo4j's GenAI ecosystem docs have a Claude Agent SDK integration page. (verified 2026-10-29)
  • CrewAI integrates with — Neo4j's GenAI ecosystem docs have a CrewAI integration page. (verified 2026-10-29)
  • DSPy integrates with — Neo4j's GenAI ecosystem docs have a DSPy integration page. (verified 2026-10-29)
  • Genkit integrates with — Neo4j's GenAI ecosystem docs have a Genkit integration page. (verified 2026-10-29)
  • Google Agent Development Kit (ADK) integrates with — Neo4j's GenAI ecosystem docs have a Google Agent Development Kit (ADK) integration page. (verified 2026-10-29)
  • Haystack (framework) integrates with — Neo4j's GenAI ecosystem docs have a Haystack (framework) integration page. (verified 2026-10-29)
  • LangChain (framework) integrates with — Neo4j's GenAI ecosystem docs have a LangChain (framework) integration page. (verified 2026-10-29)
  • LangGraph (orchestration) integrates with — Neo4j's GenAI ecosystem docs have a LangGraph (orchestration) integration page. (verified 2026-10-29)
  • LlamaIndex (framework) integrates with — Neo4j's GenAI ecosystem docs have a LlamaIndex (framework) integration page. (verified 2026-10-29)
  • Microsoft Agent Framework integrates with — Neo4j's GenAI ecosystem docs have a Microsoft Agent Framework integration page. (verified 2026-10-29)
  • Microsoft Semantic Kernel integrates with — Neo4j's GenAI ecosystem docs have a Microsoft Semantic Kernel integration page. (verified 2026-10-29)
  • Model Context Protocol (MCP spec) integrates with — Neo4j's GenAI ecosystem docs have a Model Context Protocol (MCP spec) integration page. (verified 2026-10-29)
  • OpenAI Agents SDK integrates with — Neo4j's GenAI ecosystem docs have a OpenAI Agents SDK integration page. (verified 2026-10-29)
  • Pydantic-AI integrates with — Neo4j's GenAI ecosystem docs have a Pydantic-AI integration page. (verified 2026-10-29)
  • Salesforce Agentforce integrates with — Neo4j's GenAI ecosystem docs have a Salesforce Agentforce integration page. (verified 2026-10-29)
  • Spring AI ChatMemory integrates with — Neo4j's GenAI ecosystem docs have a Spring AI ChatMemory integration page. (verified 2026-10-29)
  • Strands Agents (AWS) integrates with — Neo4j's GenAI ecosystem docs have a Strands Agents (AWS) integration page. (verified 2026-10-29)
  • Vercel AI SDK integrates with — Neo4j's GenAI ecosystem docs have a Vercel AI SDK integration page. (verified 2026-10-29)

Referenced by (14)

  • Cognee depends on at runtime — adjacent-infrastructure cell: BYO LLM; bundles Kuzu/Neo4j for graph + LanceDB for vectors
  • Graphiti MCP Server (Zep) depends on at runtime — backend-storage cell: Neo4j
  • Haystack (framework) integrates with — Haystack integrations directory has a Neo4j integration page ("Use the Neo4j database with Haystack"). (verified 2026-10-29)
  • LangChain (framework) integrates with — LangChain docs have a Neo4j integration provider page (Native graph database and analytics platform). (verified 2026-10-29)
  • LlamaIndex (framework) integrates with — LlamaIndex has an official vector store integration package llama-index-vector-stores-neo4jvector in its repo. (verified 2026-10-29)
  • Mem0 depends on at runtime — adjacent-infrastructure cell: BYO LLM provider; bundles vector store (Qdrant default) and graph store (Neo4j optional)
  • Memary depends on at runtime — adjacent-infrastructure cell: BYO LLM; Neo4j required
  • Neo4j Agent Memory (Neo4j Labs) depends on at runtime — Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.
  • Phidata (now Agno) integrates with — Agno ships a neo4j toolkit (agno.tools.neo4j). (verified 2026-10-29)
  • Qdrant integrates with — Qdrant's documentation has a Neo4j integration page. (verified 2026-10-29)
  • Spring AI ChatMemory integrates with — pluggable ChatMemoryRepository backends (in-memory, JDBC, Cassandra, Neo4j)
  • TrueFoundry AI Gateway integrates with — TrueFoundry AI Gateway ecosystem lists a Neo4j MCP server integration page. (verified 2026-10-29)
  • Zep — governance posture depends on at runtime — backend-storage cell: Postgres + Neo4j
  • Zep & Graphiti integrates with · depends on at runtime — Graphiti README lists Neo4j as a supported graph database backend. (verified 2026-10-29)