ArangoDB vs EdgeDB

Struggling to choose between ArangoDB and EdgeDB? Both products offer unique advantages, making it a tough decision.

ArangoDB is a Development solution with tags like nosql, multimodel, graph, document, search.

It boasts features such as Multi-model database supporting documents, graphs and key-value pairs, Flexible data models, High performance, Scalable distributed architecture, Built-in search engine, Native graph database, Joins and transactions across data models, Role-based access control, Encryption, Backups and replication and pros including 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.

On the other hand, EdgeDB is a Development product tagged with objectrelational, graph, graphql, horizontal-scalability, multitenancy.

Its standout features include GraphQL-based query language, Flexible data modeling with objects, documents and graphs, Horizontal scalability and multi-tenancy, ACID transactions, Type system with inheritance and composition, Declarative schema migrations, and it shines with pros like Powerful and intuitive query language, Flexible data modeling capabilities, Scales horizontally, Multi-tenant capable, Strong type system.

Feature	ArangoDB	EdgeDB
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

ArangoDB

Description: 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.

EdgeDB

Description: EdgeDB is an open-source object-relational database management system designed for graph-like data models. It features a declarative query language based on GraphQL, flexible data modeling, horizontal scalability, and multi-tenancy support.

Key Features Comparison

ArangoDB Features

• Multi-model database supporting documents, graphs and key-value pairs
• Flexible data models
• High performance
• Scalable distributed architecture
• Built-in search engine
• Native graph database
• Joins and transactions across data models
• Role-based access control
• Encryption
• Backups and replication

EdgeDB Features

• GraphQL-based query language
• Flexible data modeling with objects, documents and graphs
• Horizontal scalability and multi-tenancy
• ACID transactions
• Type system with inheritance and composition
• Declarative schema migrations

Pros & Cons Analysis

ArangoDB

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

EdgeDB

Pros

• Powerful and intuitive query language
• Flexible data modeling capabilities
• Scales horizontally
• Multi-tenant capable
• Strong type system

Cons

• Less mature than some established RDBMS
• Limited ecosystem compared to some alternatives
• Not ideal for simple relational data models

Pricing Comparison

ArangoDB

• Open Source
• Subscription-Based

EdgeDB

• Open Source
• Custom Pricing