tentris/tentris

Graph database implementing the RDF and SPARQL standards. Very fast and scales to more than a trillion triples on a single commodity machine

SPARQL graph database

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

Grafeo is a pure-Rust, high-performance graph database that can be embedded as a library or run as a standalone database, with optional in-memory or persistent storage. Grafeo supports both LPG and RDF and all major query languages.

Tentris is a tensor-based triplestore that natively supports worst-case optimal joins. This is the research version of Tentris. A commercial version is available at https://github.com/tentris/tentris.

PurRDF — one RDF 1.2 engine, one behavior, in Rust, Python, WebAssembly and C. Deterministic BM25 full-text search, exact GeoSPARQL 1.1 and embedding kNN answered from SPARQL, in-process, over one dataset: the three jobs a triple store usually kept PostgreSQL beside it for. Plus native codecs, RDFC-1.0, SHACL, ShEx, entailment and GTS transport.

Run Graph Queries with Lance

High-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.

TuringDB high performance in-memory column-oriented graph database engine