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ArangoDB Website Full Guide (2026)

Native multi-model database supporting graph, document, and key/value data models.

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Updated May 26, 2026

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Introduction

ArangoDB is a native multi-model database designed to handle graph, document, and key/value data within a single system. It enables developers to store and query interconnected data efficiently, supporting complex relationships alongside flexible document structures and fast key/value lookups. Positioned within database services, it caters to applications requiring diverse data representations without deploying multiple specialized databases.

When evaluating ArangoDB for database services, consider its integration capabilities with existing data pipelines and application stacks, as well as the complexity of setup and ongoing maintenance. Its reliability under repeated query loads and transaction consistency are critical for production environments. Documentation clarity and depth of query language support influence developer onboarding and long-term maintainability. Assessing these factors helps determine if ArangoDB aligns with specific data modeling needs and operational requirements in multi-model database deployments.

Key Features

Core Capabilities

1

Supports graph, document, and key/value data models within a single database engine

2

Provides AQL (ArangoDB Query Language) for complex queries across multiple data models

3

Enables distributed deployments with sharding and replication for scalability and fault tolerance

4

Includes built-in full-text search and geo-spatial queries

5

Offers HTTP REST API and native drivers for multiple programming languages

Use Cases

For Data Engineers

Unified Data Storage for Complex Systems

Manage and query interconnected data using graph, document, and key/value models within a single database, reducing the need for multiple specialized systems.

How to Use ArangoDB

Access the Official Website

Navigate to arangodb.com to find product documentation, download options, and community resources.

ArangoDB Alternatives

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