DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark duckdb.

Project Site

duckdb.org

Source Repository

github.com

Test Created

28 October 2023

Last Updated

4 June 2024

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

24 Minutes, 43 Seconds

Average Run Time

10 Minutes, 31 Seconds

Test Dependencies

C/C++ Compiler Toolchain

Accolades

10k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page ViewsOpenBenchmarking.orgEventsDuckDB Popularity Statisticspts/duckdb2023.102023.112023.122024.012024.022024.032024.042024.052024.062024.072024.082024.092024.102024.112024.1210002000300040005000
* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly.
** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
Data updated weekly as of 23 December 2024.
IMDB34.5%Clickbench33.0%TPC-H Parquet32.5%Benchmark Option PopularityOpenBenchmarking.org

Revision History

pts/duckdb-1.1.0   [View Source]   Tue, 04 Jun 2024 11:14:23 GMT
Update against DuckDB 1.0.

pts/duckdb-1.0.0   [View Source]   Sat, 28 Oct 2023 16:10:27 GMT
Initial commit of DuckDB benchmark.

Suites Using This Test

Server


Performance Metrics

Analyze Test Configuration:

DuckDB 1.0

Benchmark: IMDB

OpenBenchmarking.org metrics for this test profile configuration based on 215 public results since 4 June 2024 with the latest data as of 27 November 2024.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Detailed Performance Overview
OpenBenchmarking.orgDistribution Of Public Results - Benchmark: IMDB215 Results Range From 45 To 414 Seconds4564831021211401591781972162352542732923113303493683874064251530456075

Based on OpenBenchmarking.org data, the selected test / test configuration (DuckDB 1.0 - Benchmark: IMDB) has an average run-time of 8 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkBenchmark: IMDBRun-Time510152025Min: 4 / Avg: 7.98 / Max: 22

Does It Scale Well With Increasing Cores?

No, based on the automated analysis of the collected public benchmark data, this test / test settings does not generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.

AMDIntelOpenBenchmarking.orgRelative Core Scaling To BaseDuckDB CPU Core ScalingBenchmark: IMDB68121416240.46250.9251.38751.852.3125

Tested CPU Architectures

This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.

CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
ARMv8 64-bit
arm64
Apple M4, Apple M4 Max