Document, graph, and key-value, hosted in France
Bring your data models together in one engine and one query language (AQL) with ArangoDB, installed and maintained by DINAO. Your data stays on our French servers.
What is ArangoDB?
ArangoDB is an open source multi-model database that brings together three data models in a single engine: document (JSON), graph, and key-value. Instead of stacking multiple specialized databases, we leverage a single technology and a unified query language, AQL (ArangoDB Query Language), which combines document queries, graph traversals, joins, and aggregations.
ArangoDB natively integrates full-text search and analytics via ArangoSearch, as well as a powerful graph engine suited for complex relationships: recommendations, fraud detection, knowledge graphs, or networks. For very large graphs, SmartGraphs optimize sharding to maintain good performance at scale.
On the operations side, ArangoDB deploys in single-server mode or in a cluster with sharding and replication for high availability. It exposes a REST/HTTP API, official drivers for most languages, and the Foxx framework for writing microservices directly close to the data.
Host ArangoDB at DINAO
Resource tiers compatible with ArangoDB prerequisites (minimum 1 cœur / 1 Go / 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…
What is a multi-model database?
ArangoDB stores and queries JSON documents, graphs, and key-value pairs in a single engine. You replace multiple specialized databases with one, using a single query language, AQL.
What is the graph model used for?
The graph model is ideal for complex relationships: social networks, recommendations, fraud detection, knowledge graphs. AQL allows for efficient traversals and joins, even on very large graphs via SmartGraphs.
Where is the data hosted?
On DINAO infrastructure in France, in one of the available data centers. Your collections and graphs do not leave the territory.
Are technical skills required?
DINAO manages installation, clustering, updates, and monitoring. Your developers query the database in AQL via official drivers or the REST API, just like with any database.
Can ArangoDB handle production workloads?
Yes. It deploys in a cluster with sharding and replication for high availability and horizontal scaling, and integrates ArangoSearch full-text search.
