Algebraix Data Achieves Unrivaled Semantic Benchmark Performance by Angela Guess.
From the post:
Algebraix Data Corporation today announced its SPARQL Server(TM) RDF database successfully executed all 17 of its queries on the SP2 benchmark up to one billion triples on one computer node. The SP2 benchmark is the most computationally complex for testing SPARQL performance and no other vendor has reported results for all queries on data sizes above five million triples.
Furthermore, SPARQL Server demonstrated linear performance in total SP2Bench query time on data sets from one million to one billion triples. These latest dramatic results are made possible by algebraic optimization techniques that maximize computing resource utilization.
“Our outstanding SPARQL Server performance is a direct result of the algebraic techniques enabled by our patented Algebraix technology,” said Charlie Silver, CEO of Algebraix Data. “We are investing heavily in the development of SPARQL Server to continue making substantial additional functional, performance and scalability improvements.”
Pretty much a copy of the press release from Algebraix.
You may find:
Doing the Math: The Algebraix DataBase Whitepaper: What it is, how it works, why we need it (PDF) by Robin Bloor, PhD
ALGEBRAIX Technology Mathematics Whitepaper (PDF), by Algebraix Data
and,
Granted Patents
- 7613734 Systems and Methods for Providing Data Sets using a Store of Algebraic Relations
- 7720806 Systems and Methods for Data Manipulation using Multiple Storage Formats
- 7769754 Systems and Methods for Data Storage and Retrieval using Algebraic Optimization
- 7797319 Systems and Methods for Data Model Mapping
- 7865503 Systems and Methods for Data Storage and Retrieval using Virtual Data Sets
- 7877370 Systems and Methods for Data Storage and Retrieval using Algebraic Relations
- 8032509 Systems and Methods for Data Storage and Retrieval using Algebraic Relations Composed from Query Language Statements
more useful.
BTW, The SP²Bench SPARQL Performance Benchmark, will be useful as well.
Algebraix listed its patents but I supplied the links. Why the links were missing at Algebraix I cannot say.
If the “…no other vendor has reported results for all queries on data sizes above five million triples…” is correct, isn’t scaling an issue for SQARQL?