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oxigraph/bench
History
Tpt b69f847097
Adds BSBM update benchmark 		4 years ago
..
bsbm-tools@59d0a8a605 Makes easier to run benchmarks by adding BSBM as a submodule 5 years ago
README.md Fixes a sentence in the benchmark README 4 years ago
bsbm-plot.py Adds BSBM update benchmark 4 years ago
bsbm.businessIntelligence.svg Updates the benchmark 5 years ago
bsbm.explore.svg Updates BSBM benchmark 4 years ago
bsbm_blazegraph.sh Adds BSBM update benchmark 4 years ago
bsbm_graphdb.sh Adds BSBM update benchmark 4 years ago
bsbm_oxigraph.sh Adds BSBM update benchmark 4 years ago
bsbm_virtuoso.sh Updates BSBM benchmark 4 years ago

README.md

BSBM

The Berlin SPARQL Benchmark (BSBM) is a simple SPARQL benchmark.

It provides a dataset generator and multiple set of queries grouped by "use cases".

Results

We compare here Oxigraph with some existing SPARQL implementations (Blazegraph, Virtuoso and GraphDB).

The dataset used in the following charts is generated with 10k "products" (see its spec). It leads to the creation of 3.5M triples. It has been executed on a PrevailPro P3000 with 32GB of RAM.

Explore

The explore use case is composed of 11 queries that do simple data retrieval.

Query 6 existed in previous versions of the benchmark but is now removed.

explore use case results

How to reproduce the benchmark

The code of the benchmark is in the bsbm-tools submodule. You should pull it with a git submodule update before running the benchmark.

To run the benchmark for Oxigraph run bash bsbm_oxigraph.sh. It will compile the current Oxigraph code and run the benchmark against it. You could tweak the number of products in the dataset using the environment variables at the beginning of bsbm_oxigraph.sh.

To generate the plots run python3 bsbsm-plot.py.

Scripts are also provided for the other benchmarks (bsbm_blazegraph.sh, bsbm_graphdb.sh and bsbm_virtuoso.sh).