NeuroDB
High speed Graph database in memory
Lightweight
The entire engine executable is less than 400KB
High-speed in-memory
The entire graph data is loaded into memory for operations without disk read/write latency
Embeddable
The database can be embedded into your software projects, similar to SQLite, without separate deployment and operations
Simplified
NeuroDB adopts a simplified instruction set, making it easy to deploy and operate the database with low learning costs
Multi-platform
NeuroDB can run on mainstream operating systems (Windows, Linux, Mac), mainstream mobile operating systems, and any embedded systems or microcontrollers (such as STM32) that can run C language target programs
Graph Modeling
NeuroDB’s visual client implements the concept of graph data “derived” based on a model, allowing the design of node and relationship structures in modeling, similar to designing attributes (attribute name, attribute data type, attribute data length) on nodes or relationships as in a relational database table structure
