Did you miss Summit? Catch all the recordings here!

Highly scalable graph database for global enterprises

ArangoDB means a simpler life for

Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it

Polyglot persistence without the costs
Easily design, scale and adapt your architectures to changing needs and with much less effort

DATA SCIENTISTS

Advanced Feature Engineering
Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets

New to Graph Databases?

Learn more with ArangoDB University
Graph Done Right: What and Why Graph?
Graph and Entity Resolution Against Cyber Security
Next-gen Network Management with Performance, Availability, and Security using ArangoDB
ArangoDB SOC 2 Compliant

Get ArangoDB up and running in the cloud in no time

A scalable, fully managed graph database, document store and search engine in one place. ArangoGraph is the cloud service for ArangoDB.

See your data in a whole new light

Open source and runs everywhere

Systems: Windows, MacOS, Linux, Kubernetes, Docker
Clients: Java,
NET, JavaScript, NodeJS, Go, Python, Elixir, R, Rust

One Query Language To Rule Them All

AQL is a declarative query language letting you access the very same data with a broad range of access patterns like traversals, JOINs, search, geospatial or any combination
Everyone experienced with SQL will have an easy start with AQL and might think AQL feels more like coding

Get Started with AQL
A combination of JSON stores, semantic search and graph technology is often used to provide native storage and access to data – Having everything in one place accessible with one query language provides crucial advantages
With ArangoML and ArangoML Pipeline feature extraction and Pipeline observability got much simpler

Learn More About ArangoGraphML