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Software . 2022
Data sources: Datacite
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Software . 2022
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DBMS-Benchmarker: Benchmark and Evaluate DBMS in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 16 Oct 2022 English Publisher:Zenodo
Authors: Patrick K. Erdelt; Jascha Jestel;
Code repository: https://github.com/Beuth-Erdelt/DBMS-Benchmarker/tree/v0.13.0

doi: 10.5281/zenodo.7213676

DBMS-Benchmarker: Benchmark and Evaluate DBMS in Python

Abstract

DBMS-Benchmarker is a Python-based application-level blackbox benchmark tool for Database Management Systems (DBMS). It aims at reproducible measuring and easy evaluation of the performance the user receives even in complex benchmark situations. It connects to a given list of DBMS (via JDBC) and runs a given list of (SQL) benchmark queries. Queries can be parametrized and randomized. Results and evaluations are available via a Python interface and can be inspected with standard Python tools like pandas DataFrames. An interactive visual dashboard assists in multi-dimensional analysis of the results.

This module has been tested with Clickhouse, DB2, Exasol, Hyperscale (Citus), Kinetica, MariaDB, MariaDB Columnstore, MemSQL, Mariadb, MonetDB, MySQL, OmniSci, Oracle DB, PostgreSQL, SingleStore, SQL Server, SAP HANA, TimescaleDB and Vertica.

Related Organizations
Keywords

Database, Benchmarking, SQL, Performance, DBMS, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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