NeuroDB is an in-memory graph database engine that uses Neuro-cypher commands to create, edit, retrieve graph data, and build advanced graph applications based on complex graph algorithms. The main features of NeuroDB are:
1 Lightweight: The entire engine executable is less than 400KB in size.
2 In-memory: The entire graph data is loaded into memory for operations.
3 High-speed: Due to the database being entirely in memory, there is no disk read/write latency.
4 Embeddable: The database can be embedded into your project similar to SQLite, eliminating the need for separate deployment and operation.
5 Multi-platform: NeuroDB can run on mainstream operating systems (Windows, Linux, Mac), mobile operating systems (Android, iPhone), and any embedded system or microcontroller (STM32) that can run C language target programs.
6 Graph modeling concept: NeuroDB’s visual client implements the concept of “derived” graph data based on model-oriented modeling, allowing for designing node and relationship structures in modeling, and designing attributes on nodes or relationships similar to a relational database table structure (attribute name, attribute data type, attribute data length, etc.).
Just follow me to use NeuroDB https://neurodb.org/
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