ArangoDB vs RocksDB: What are the differences?
Introduction
ArangoDB and RocksDB are both popular databases used in various applications. However, they have key differences that set them apart from each other.
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Data Model: ArangoDB is a multi-model database that supports documents, graphs, and key-value pairs within a single database. On the other hand, RocksDB is a key-value store that is mainly used as an embedded database within other systems, providing high-performance storage for key-value pairs.
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Query Language: ArangoDB uses its query language called AQL (ArangoDB Query Language) which allows users to leverage the power of SQL-like queries for different data models. In contrast, RocksDB does not have a query language of its own, and the interaction with the database is usually done through a key-value API or other interfaces provided by the host system.
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Scalability: ArangoDB is designed to be a distributed database from the ground up, allowing for easy horizontal scaling across multiple servers. RocksDB, on the other hand, is mainly used as an embedded database within single servers or applications, limiting its scalability options compared to ArangoDB.
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Consistency and Durability: ArangoDB provides options for users to choose between different levels of consistency (from eventual consistency to strong consistency) and offers various durability options to suit different use cases. RocksDB focuses on providing high performance and durability through features like write-ahead logging, but the consistency model is often determined by the application using RocksDB.
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Community and Ecosystem: ArangoDB has a thriving community that actively contributes to the development of the database, and it also has a wide range of plugins and integrations available to extend its functionality. On the other hand, RocksDB, being primarily an embedded database, relies heavily on the ecosystem of the host system it is integrated with, which may vary in terms of support and plugins available.
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Use Cases: Due to its multi-model capabilities, ArangoDB is well-suited for applications that require handling diverse types of data and relationships between them, such as social networks or content management systems. RocksDB, with its focus on high-performance key-value storage, is commonly used in applications that require fast and efficient data access, such as caching systems or distributed storage engines.
In Summary, ArangoDB and RocksDB differ in terms of data model support, query language, scalability, consistency, community support, and use cases, making them suitable for different types of applications.
