Synonyms
Definition
TPC-DS is an enterprise-class benchmark, published and maintained by the Transaction Processing Performance Council (TPC), to measure the performance of decision support systems running on SQL-based big data systems. TPC-DS models several generally applicable aspects of an SQL-based big data system, including queries and data maintenance. The benchmark provides a representative evaluation of performance as a general-purpose decision support system. A benchmark result measures query response time in single-user mode, query throughput in multiuser mode, and data maintenance performance for a given hardware, operating system, and data processing system configuration under a controlled, complex decision support workload. The purpose of TPC-DS benchmarks is to provide relevant, objective performance data to industry users.
Historical Background
TPC’s decision to split the benchmark TPC-D into two new benchmarks, TPC-H andTPC-R, in February 26, 1999,...
This is a preview of subscription content, log in via an institution to check access.
References
Barata M, Bernardino J, Furtado P (2015) An overview of decision support benchmarks: TPC-DS, TPC-H and SSB. WorldCIST 1:619–628
Chen D, Ye X, Wang J (2013) A multidimensional data model for TPC-DS benchmarking. Internetware, pp 21:1–21:4
Current TPC-DS specification http://www.tpc.org/TPC_Documents_Current_Versions/pdf/TPC-DS_v2.6.0.pdf
Nambiar RO, Poess M (2006) The making of TPC-DS. VLDB, pp 1049–1058
Poess M, Rabl T, Jacobsen H-J (2017) Analysis of TPC-DS: the first standard benchmark for SQL-based big data systems. SoCC, pp 573–585
Pöss M, Smith B, Kollár L, Larson P-Å (2002) TPC-DS, taking decision support benchmarking to the next level. SIGMOD conference, pp 582–587
Pöss M, Nambiar RO, Walrath D (2007) Why you should run TPC-DS: a workload analysis. VLDB, pp 1138–1149
Shi L, Huang B, Xu H, Ye X (2010) Implementation of TPC-DS testing tool. DBTA, pp 1–4
Zhao H, Ye X (2013) A practice of TPC-DS multidimensional implementation on NoSQL database systems. TPCTC, pp 93–108
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this entry
Cite this entry
Poess, M. (2018). TPC-DS. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_127-1
Download citation
DOI: https://doi.org/10.1007/978-3-319-63962-8_127-1
Received:
Accepted:
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-63962-8
Online ISBN: 978-3-319-63962-8
eBook Packages: Springer Reference MathematicsReference Module Computer Science and Engineering