ArangoDB vs Orient DB

Struggling to choose between ArangoDB and Orient DB? 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, Orient DB is a Development product tagged with nosql, document-database, graph-database, schemaless, open-source.

Its standout features include Graph database model, Document database model, Distributed architecture, SQL support, ACID transactions, Query language (OrientQL), Native integration with Java, .NET, Node.js, and it shines with pros like Powerful querying through relationships, Flexible schema-less data model, High performance, Strong data consistency, Open source with commercial support available.

Feature	ArangoDB	Orient DB
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.

Orient DB

Description: OrientDB is an open source NoSQL database management system that combines the flexibility of document databases with the power of graph databases. It uses a document graph data model to store data in a schema-less format, allowing for efficient querying and indexing of relationships.

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

Orient DB Features

• Graph database model
• Document database model
• Distributed architecture
• SQL support
• ACID transactions
• Query language (OrientQL)
• Native integration with Java, .NET, Node.js

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

Orient DB

Pros

• Powerful querying through relationships
• Flexible schema-less data model
• High performance
• Strong data consistency
• Open source with commercial support available

Cons

• Limited adoption compared to other NoSQL databases
• Steep learning curve for query language
• Not as scalable as some other NoSQL options

Pricing Comparison

ArangoDB

• Open Source
• Subscription-Based

Orient DB

• Open Source
• Commercial License