Your graph database, hosted in France
The reference graph database powered by Neo4j, installed and maintained by DINAO. Your knowledge graphs and business data stay on our French servers — sovereign and GDPR-compliant.
What is Neo4j?
Neo4j is the most widely used graph-oriented database. Unlike relational databases that store data in tables and compute relationships on the fly via costly joins, Neo4j natively models data as nodes connected by relationships that carry their own properties. Since relationships are physically stored, graph traversals are extremely performant, even on deeply connected data.
Querying is done via Cypher, a declarative query language whose visual syntax directly reflects the graph structure. Neo4j also provides Neo4j Browser and Bloom for visualization, as well as a graph algorithms library (Graph Data Science): PageRank, community detection, shortest paths, centrality, etc.
Typical use cases leverage the richness of relationships: recommendation engines, fraud detection, identity and access management, social networks, knowledge graphs, network and infrastructure management, traceability, and supply chain. Neo4j is also heavily used as the foundation for GraphRAG: a knowledge graph (enriched with vectors via the vector index) is stored there, which the LLM queries to ground its responses in factual data.
Technically, Neo4j is built on a Java (JVM) engine, offers official drivers for Java, Python, JavaScript, .NET, and Go, and is available in Community Edition (open source) and Enterprise Edition (clustering and advanced security). DINAO handles deployment, backup, and monitoring on French infrastructure.
Host Neo4j at DINAO
Resource tiers compatible with Neo4j prerequisites (minimum 1 vCPU / 2 Go / 10 Go). Hosted in France, fully managed.
- 1 dedicated vCPU
- 2 Go RAM
- 20 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 2 dedicated vCPU
- 4 Go RAM
- 40 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 4 dedicated vCPU
- 8 Go RAM
- 80 GB NVMe
- Daily backups
- Managed & monitored by DINAO
- 8 dedicated vCPU
- 16 Go RAM
- 160 GB NVMe
- Daily backups
- Managed & monitored by DINAO
Technical details
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You might be wondering…
What is a graph database?
Instead of storing data in tables and computing relationships via costly joins, Neo4j natively models data as nodes connected by relationships. Graph traversals remain highly performant, even on strongly connected data.
What language is used to query Neo4j?
Cypher, the native declarative query language for graphs. Its visual syntax directly represents nodes and relationships, making queries readable and close to the schema.
Is Neo4j an AI tool?
No, it is a graph database. However, it has become a key component of RAG / GraphRAG architectures: it provides the knowledge graph and a vector index that LLMs query for factual, grounded responses.
What are typical use cases?
Recommendation engines, fraud detection, identity and access management, social networks, knowledge graphs, network and infrastructure management, traceability, and supply chain: anywhere where connections between entities matter as much as the entities themselves.
Community or Enterprise?
The Community Edition (open source) covers most application use cases. The Enterprise Edition adds clustering, advanced security, and extended production features. DINAO can deploy either one based on your needs.
