# Database Benchmarks

**Authors:** J\'er\^ome Darmont (ERIC)

arXiv: 1701.08052 · 2017-01-30

## TL;DR

This paper reviews major types of database benchmarks, focusing on XML and decision-support benchmarks, discussing their issues, tradeoffs, and future trends in database performance evaluation.

## Contribution

It provides a comprehensive overview of current database benchmarks and highlights recent innovations in XML and decision-support benchmarking tools.

## Key findings

- XML benchmarks are increasingly important for data exchange.
- Decision-support benchmarks are evolving to handle larger datasets.
- Tradeoffs exist between benchmark complexity and realism.

## Abstract

The aim of this article is to present an overview of the major families of state-of-the-art data-base benchmarks, namely: relational benchmarks, object and object-relational benchmarks, XML benchmarks, and decision-support benchmarks, and to discuss the issues, tradeoffs and future trends in database benchmarking. We particularly focus on XML and decision-support benchmarks, which are currently the most innovative tools that are developed in this area.

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Source: https://tomesphere.com/paper/1701.08052