LadybugDB/ladybug

What it solves

Ladybug solves the challenge of performing complex data analysis on massive datasets while maintaining high performance. It provides a way to store and query interconnected data (graphs) without the overhead of managing a separate database server.

How it works

Ladybug is an embedded database, meaning it runs directly inside your application rather than as a standalone service. It uses a property graph model and the Cypher query language to organize and retrieve data. To ensure speed, it utilizes columnar disk-based storage, specialized join algorithms, and multi-core parallelism. It also includes built-in features for full-text search and vector indexing, and it supports WebAssembly for secure execution in web browsers.

Who it’s for

It is designed for developers who need a high-performance, scalable graph database that can be easily integrated into applications across various programming languages, including Python, Node.js, Rust, Go, Swift, Java, and C++.

Highlights

• Embeddable, serverless architecture for easy application integration
• Support for Cypher query language and property graph data models
• Native vector indexing and full-text search capabilities
• High-performance vectorized and factorized query processing
• ACID-compliant transactions for data reliability
• WebAssembly support for browser-based applications