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This article introduces sqlite-graph, a SQLite extension that adds graph database features with Cypher query support. It's currently in alpha release, intended for testing, allowing users to store and query graph data while integrating standard SQL operations.
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sqlite-graph is a SQLite extension that integrates graph database functionality, enabling users to store and query graph data alongside traditional SQL data. It supports Cypher query language, which allows for powerful graph pattern matching. Currently in alpha release (version 0.1.0-alpha.0), this extension is designed for testing and feedback, so it's not suitable for production environments yet. Its key features include the ability to create nodes and relationships with properties, run graph algorithms, and combine SQL queries with graph queries without requiring any external dependencies.
Installation is straightforward, either by downloading a pre-built library or building from source. It supports multiple platforms, including Linux, macOS, and Windows with WSL. Users can load the extension into their SQLite session with a few lines of code, after which they can create virtual graphs and execute Cypher queries. Performance metrics show impressive speed, with over 300,000 nodes and 390,000 edges processed per second, making it efficient for applications that need rapid data access.
Among the functionalities, users can perform various graph operations and algorithms, such as connectivity checks and degree centrality. The extension also supports JSON for node and edge properties, enhancing its flexibility. Usage examples demonstrate how to create nodes, establish relationships, and execute queries to retrieve specific data. The provided API reference details available functions, making it easy for developers to integrate graph capabilities into their existing SQLite applications.
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