Native graph database and AuraDB cloud service for connected data
- Starting at
- Free plan available
- Vendor size
- —
- Customers
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Company profile
Neo4j provides a native graph database (with the Cypher query language), the AuraDB cloud service and graph data science libraries, used to model and query highly connected data. Buyers are data and engineering teams building fraud detection, recommendations, knowledge graphs and GraphRAG for generative AI. It is the most widely adopted graph database.
- Ownership
- Private
- Employees
- 501–1,000
Industries served
Banking & capital markets
Insurance
Life sciences
Retail & consumer
Technology, media & telecom
Government & public sector
Key offerings
Neo4j AuraDBNeo4j Graph Database (Enterprise Edition)Neo4j Graph Data ScienceNeo4j BloomGraphRAG tooling
Typical use cases
- Fraud ring detection in payments
- Knowledge graph grounding for LLM applications
- Real-time product recommendations
Strengths
- Most mature and popular native graph database
- Cypher became basis for GQL ISO standard
- Strong fit for GraphRAG and AI grounding
Considerations
- Requires graph modeling skills not common in teams
- Not a replacement for general-purpose relational workloads
- Enterprise licensing can be costly at scale
Typical Deloitte services
- Knowledge graph and GraphRAG solution design
- Fraud and risk analytics on connected data
Editorial profile based on public information.