ArangoDB

ArangoDB

ArangoDB is a native multi-model database system that supports graph, document, and search models. It is designed for scalability, high performance, and ease of use.
ArangoDB image
nosql multimodel graph document search

ArangoDB: Native Multi-Model Database System

ArangoDB is a native multi-model database system that supports graph, document, and search models. It is designed for scalability, high performance, and ease of use.

What is ArangoDB?

ArangoDB is a native multi-model database system that supports multiple data models in one core engine and database system. The supported data models include graphs, documents (JSON documents), and key-value pairs. Using a single database system for multiple data models eliminates expensive data integration between systems and enables new graph and document use cases that require deep integration of both technologies.

Some of the key capabilities and benefits of ArangoDB include:

  • Scalable distributed database system for storage and processing of graph, document, and key-value data
  • Native multi-model capabilities eliminate need for integration between multiple database systems
  • Flexible data models allow modeling of data according to use case requirements
  • Graph algorithms and traversal framework for analyzing complex data relationships
  • Good performance for high velocity reads and writes as well as complex queries
  • Easy to use query language (AQL) unifies queries across models
  • Supports geo-spatial indexes and queries for location-based data
  • Replication and sharding mechanisms for horizontal scaling of data volume and read/write performance

With its combination of flexible data models, scalable distributed architecture, advanced graph database capabilities, and ease of use, ArangoDB can be useful for modern applications needing to store connected, non-relational or mixed model data.

ArangoDB Features

Features

  1. Multi-model database supporting documents, graphs and key-value pairs
  2. Flexible data models
  3. High performance
  4. Scalable distributed architecture
  5. Built-in search engine
  6. Native graph database
  7. Joins and transactions across data models
  8. Role-based access control
  9. Encryption
  10. Backups and replication

Pricing

  • Open Source
  • Subscription-Based

Pros

Supports multiple data models in one database

Good performance for reads and writes

Scales horizontally

Has a free open source edition

Query language AQL is similar to SQL

Can be deployed on-prem or in the cloud

Cons

Not as popular as MongoDB or Neo4j

Limited ecosystem compared to bigger vendors

Steep learning curve for complex queries

No commercial support for open source edition


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