ArangoDB vs OrientDB: What are the differences?

Introduction

ArangoDB and OrientDB are both multi-model databases that provide flexibility in dealing with different types of data. However, there are key differences between the two that distinguish them in terms of performance, scalability, query language, and data modeling capabilities.

1. Performance: ArangoDB uses memory-mapped architecture, which allows it to effectively manage large datasets and offers better performance for read-intensive workloads. On the other hand, OrientDB utilizes a disk-based storage approach that provides better support for write-intensive scenarios.

2. Scalability: ArangoDB offers horizontal scalability through its built-in sharding mechanism, allowing users to distribute data across multiple servers effortlessly. In contrast, OrientDB relies on vertical scalability, where a single server can handle larger datasets by expanding its storage or computing resources vertically.

3. Query Language: ArangoDB uses a declarative query language called AQL (ArangoDB Query Language), which provides a SQL-like syntax with additional graph traversal and document-oriented features. OrientDB, on the other hand, supports SQL queries as well as a powerful proprietary language called Gremlin, which is used for graph traversals.

4. Data Modeling: ArangoDB supports a native graph database model as well as key-value and document stores, allowing users to flexibly model their data to suit different use cases. In contrast, OrientDB is primarily designed as a graph database but supports document and key-value models as well.

5. Multi-Model Capabilities: While both databases are multi-model, ArangoDB places a stronger emphasis on its ability to seamlessly combine different data models within a single query. It provides better integration through its traversal mechanisms, making it easier to work with complex relationships. OrientDB, although supporting multiple models, is primarily optimized for graph operations.

6. Community and Ecosystem: ArangoDB has gained popularity in recent years, attracting a widespread community and a vibrant ecosystem of compatible tools and libraries. OrientDB, while also having a dedicated user base, has faced some challenges with community adoption and maintained support, leading to a relatively smaller ecosystem.

In summary, ArangoDB and OrientDB differ in terms of performance, scalability, query language, data modeling capabilities, multi-model support, and community ecosystem. These differences make them suitable for various use cases depending on the specific requirements and preferences of the users.