image10

Graph and Beyond

Natively store data for graph, document and search needs.
Utilize feature-rich access with one query language.

Read About Graph and Beyond

Try ArangoDB Cloud

carousel banner background scaled (1)

Please Join Us!
OCTOBER 4th-5th

What’s new?

Upcoming Webinar

Challenges of a Cloud Native Database

Upcoming 2-Day Industry Event

ArangoDB Summit – REGISTER TODAY

Watch the Replay

BeyondGraph 22

Learn graph databases and native multi-model today

Take Free ArangoDB Graph Course

ArangoDB means a simpler life for

Developers

Powerful Applications

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.

Architects

Simpler Backend

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.

The simplest way to run ArangoDB

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

Start Free Trail

Open source and runs everywhere

Systems

check-with Windows

check-with MacOS

check-with Linux

check-with Kubernetes

check-with Docker

Clients

check-with Java

check-with .NET

check-with JavaScript

check-with NodeJS

check-with Docker

check-with Go

check-with Python

check-with Elixir

check-with R

check-with Rust

A Powerful Query Language For All Data Models

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

Multi-Model Powered Machine Learning

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.