What is Neo4j Graph Database?
Neo4j is a native graph database that stores data as nodes and relationships and is queried with the Cypher language. It is available as a self-managed Community or Enterprise edition and as the fully managed AuraDB cloud service. Graph Data Science libraries and vector search support use cases such as fraud detection, knowledge graphs and GraphRAG for generative AI. It is used by developers and enterprises working with highly connected data.
Key facts
- Starting price
- Free plan available
- Pricing model
- Freemium
- Active users
- —
- Customers
- —
- Vendor employees
- —
- Launched
- 2010
- Deployment
- Cloud (SaaS), On-premise, Hybrid
- Platforms
- Web, Linux, Windows, macOS
Strengths & considerations
Strengths
- Native graph storage for fast relationship queries
- Cypher query language is expressive and widely documented
- Free tier and community edition ease getting started
- Free plan available
- Open source
- Can run on-premise
Considerations
- Graph modeling requires a different mindset than SQL
- Enterprise features and scaling require paid editions
- Less suited to purely tabular or analytical workloads
Editorial summary based on public information; not a user review.
Industries & use cases
Industries served
Banking & capital markets
Insurance
Life sciences
Retail & consumer
Technology, media & telecom
Government & public sector
Typical use cases
- Fraud ring detection in payments
- Knowledge graph grounding for LLM applications
- Real-time product recommendations
Typical Deloitte services
- Knowledge graph and GraphRAG solution design
- Fraud and risk analytics on connected data
Editorial profile based on public information.
Features
✓AI features· Automation
✓Self-hosted· Deployment
✓Open source· Deployment
✓API access· Integrations
✓Single sign-on (SSO)· Security
✓Role-based access· Security
✓Audit log· Security
User reviews
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