ArangoDB
non-cncf
First Research Pass
Content Lifecycle & Evolution State
1
Initial Seed
Metadata Loaded
2
First Research
Automated Gathering
3
Tech Writing
Content Structured
4
Approval
Editorial Verified
First Research Pass Completed: Initial facts, key features, and documentation links have been gathered. Detailed technical writing and synthesis are currently in queue.
Overview
A native multi-model database system supporting graph, document, and key-value data models with a unified declarative query language (AQL).
Key Features
Unified multi-model engine allowing graph traversals, document queries, and search.
ArangoDB Query Language (AQL) providing declarative syntax for joins and graph traversals.
ArangoSearch engine integrating full-text search and similarity search with JSON documents.
Horizontally scalable distributed clustering with SmartGraphs.
Use Cases
Knowledge graphs, fraud detection networks, recommendation systems, and multi-model backends.
Getting Started
Run `docker run -p 8529:8529 -e ARANGO_ROOT_PASSWORD=secret arangodb/arangodb` and open `localhost:8529`.
Recent Updates
Introduced Graph Analytics ML integrations, vector search for AI embeddings, and Kubernetes operator updates.
Did You Know?
ArangoDB is widely utilized across the cloud native and open source ecosystem.