GDB-Engines

The go-to resource for graph technology details

About
Back to all databases

Tentris

An RDF triple store that represents knowledge graphs as sparse tensors using a hypertrie data structure. Evaluates SPARQL queries via Einstein summation for worst-case optimal joins. Available as both a research prototype and a commercial edition.

Visit website GitHub
Overall rank
#137
First released
2020
License
Proprietary
Built with
C++

Details

Vendor
DICE Research Group, Paderborn University
Type
RDF
Category
Emerging
License
Proprietary
Language
C++
Query Languages
SPARQL
Protocols
SPARQL Protocol
Sources 4 references

Protocols SPARQL Protocol

Serves /sparql, /stream, /update, and /graph-store HTTP endpoints implementing the SPARQL 1.1 Protocol and Graph Store HTTP Protocol.

License Proprietary

Today's Tentris (tentris/tentris, run by Tentris GmbH) is a distinct product from the Apache-2.0/MIT dual-licensed research prototype (dice-group/tentris-research-project); the commercial repository carries no open-source license. Matches current value.

  • the commercial version of Tentris, but a research prototype that focuses on aspects presented in papers. For a reliable, SPARQL feature-complete, and well-tested edition, see the commercial edition at
    dice-group/tentris-research-project · reviewed 2026-08-02

Released 2020

The first public description of Tentris is the ISWC 2020 paper, accompanied by the first public pre-built binaries (v1.0.4); matches current value.

  • Alexander Bigerl, Felix Conrads, Charlotte Behning, Mohamed Ahmed Sherif, Muhammad Saleem and Axel-Cyrille Ngonga Ngomo (2020) Tentris – A Tensor-Based Triple Store. In: The Semantic Web – ISWC 2020
    ISWC 2020 Paper: Tentris – A Tensor-Based Triple Store · reviewed 2026-08-02

Language C++

The commercial repository (tentris/tentris) publishes only packaging scripts; language is inferred from the companion/predecessor research codebase, which builds with a C++ toolchain. Matches current value.