Your real-time graph database, hosted in France
The engine for your connected data powered by Memgraph, installed and maintained by DINAO. An ultra-fast in-memory graph database, hosted on our French servers — Cypher compatible, for real-time analytics.
What is Memgraph?
Memgraph is a high-performance in-memory graph database engine, compatible with the Cypher query language and the Bolt protocol from Neo4j. It is designed for real-time graph analytics and AI pipelines (GraphRAG, agent memory).
The in-memory architecture enables multi-hop traversals in less than a millisecond, while remaining ACID compliant thanks to disk persistence (snapshots + WAL) and backups. The MAGE library provides over 40 graph algorithms (PageRank, community detection, shortest paths), and vector, text, and geospatial indexes enable hybrid graph + vector search.
On the integration side, Memgraph ingests real-time streams via Kafka, Pulsar, and RedPanda, natively loads Parquet and JSONL, and is accessed through drivers (Python, C/C++, WebSocket) as well as LangChain/LlamaIndex. It offers high availability based on Raft with automatic failover and RBAC access control with over 30 permissions. Core written in C++, deployable in Docker and Kubernetes (Helm).
Host Memgraph at DINAO
Resource tiers compatible with Memgraph prerequisites (minimum 1 vCPU / 2048 Mo / 5 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…
How fast is Memgraph?
Memgraph keeps the graph in RAM (in-memory architecture), enabling multi-hop traversals in less than a millisecond — ideal for analytics and real-time pattern detection.
Can I reuse my Neo4j queries?
Yes. Memgraph is compatible with the Cypher language and the Bolt protocol: your queries and most of your Neo4j drivers work directly.
Are my data lost on restart?
No. Although the graph lives in memory, Memgraph is ACID and persists to disk via snapshots and a WAL log, with backup and restore capabilities.
How much RAM do I need?
Since Memgraph is in-memory, the graph must largely fit in RAM: RAM is the primary scaling factor. DINAO advises the tier best suited to your graph size.
Where is the data hosted?
On DINAO's infrastructure in France, in one of the available data centers. Your graph and its backups remain on French territory.
