SlothDB is a super fast embedded SQL database
1.3MB WASM database beats DuckDB 5x on 10M row analytics, runs in Cloudflare Workers.
SQLite-like embedded vector database
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).
Backend developers, ML engineers, and app developers building local RAG pipelines, semantic search, or lightweight embedded vector storage
Key highlights: - No external dependencies - Familiar SQL syntax for CREATE/INSERT/SELECT + vector SIMILARITY queries - Graph-based ANN search, thread-safe, transactions - Python RAG example with Ollama included
We built this as the engine behind our no-code platform at https://pardusai.org/ (private, local-first data analysis).
GitHub: https://github.com/JasonHonKL/PardusDB
Feedback welcome!
1.3MB WASM database beats DuckDB 5x on 10M row analytics, runs in Cloudflare Workers.
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.
Rust-built Postgres wire server with native graph and vector support.
Sub-microsecond streaming SQL via zero-alloc hot path; genuine advancement over SQLite+DataFusion.
Graph-vector-FTS in one database, but Weaviate and Neo4j already offer hybrid search.