SparrowDB, SQLite of graph DB, written in Rust, Cypher compatible
SQLite for graphs—embedded Cypher DB with 93x faster COUNT than Neo4j.
A fast embedded graph database for AI applications and graph analytics
Sparse matrix graph operations with MCP server integration for AI agents.
Rust developers building AI applications needing graph + vector search
Neo4j · DuckDB · Chroma
SQLite for graphs—embedded Cypher DB with 93x faster COUNT than Neo4j.
Graph-vector-FTS in one database, but Weaviate and Neo4j already offer hybrid search.
Using a single-file .pardus format with CREATE/INSERT/SELECT + SIMILARITY queries gives a very familiar developer UX for embedding storage. The combination of graph-based ANN, full transactions, thread-safety, and zero external dependencies is an uncommon and useful engineering combo for local-first AI work; it would win more attention with benchmark comparisons and richer ecosystem integrations (connectors/clients).
Replaces PostgreSQL + Redis + Neo4j + ClickHouse with one Rust binary.
Unified SQL, graph, and vector engine when Neon and pgvector already split these concerns.
Unifies SQL, graph, and vector data in one Rust engine, but still in early alpha.